diff --git a/.coveragerc b/.coveragerc
deleted file mode 100644
index dd39c854..00000000
--- a/.coveragerc
+++ /dev/null
@@ -1,35 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-[run]
-branch = True
-
-[report]
-fail_under = 100
-show_missing = True
-exclude_lines =
-    # Re-enable the standard pragma
-    pragma: NO COVER
-    # Ignore debug-only repr
-    def __repr__
-    # Ignore abstract methods
-    raise NotImplementedError
-omit =
-  */gapic/*.py
-  */proto/*.py
-  */core/*.py
-  */site-packages/*.py
\ No newline at end of file
diff --git a/.flake8 b/.flake8
deleted file mode 100644
index ed931638..00000000
--- a/.flake8
+++ /dev/null
@@ -1,32 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-[flake8]
-ignore = E203, E266, E501, W503
-exclude =
-  # Exclude generated code.
-  **/proto/**
-  **/gapic/**
-  **/services/**
-  **/types/**
-  *_pb2.py
-
-  # Standard linting exemptions.
-  __pycache__,
-  .git,
-  *.pyc,
-  conf.py
diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
deleted file mode 100644
index 30c3973a..00000000
--- a/.github/CODEOWNERS
+++ /dev/null
@@ -1,11 +0,0 @@
-# Code owners file.
-# This file controls who is tagged for review for any given pull request.
-#
-# For syntax help see:
-# https://help.github.com/en/github/creating-cloning-and-archiving-repositories/about-code-owners#codeowners-syntax
-
-# The @googleapis/yoshi-python is the default owner for changes in this repo
-*               @googleapis/yoshi-python
-
-# The python-samples-reviewers team is the default owner for samples changes
-/samples/  @googleapis/python-samples-owners
\ No newline at end of file
diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md
deleted file mode 100644
index 939e5341..00000000
--- a/.github/CONTRIBUTING.md
+++ /dev/null
@@ -1,28 +0,0 @@
-# How to Contribute
-
-We'd love to accept your patches and contributions to this project. There are
-just a few small guidelines you need to follow.
-
-## Contributor License Agreement
-
-Contributions to this project must be accompanied by a Contributor License
-Agreement. You (or your employer) retain the copyright to your contribution;
-this simply gives us permission to use and redistribute your contributions as
-part of the project. Head over to <https://cla.developers.google.com/> to see
-your current agreements on file or to sign a new one.
-
-You generally only need to submit a CLA once, so if you've already submitted one
-(even if it was for a different project), you probably don't need to do it
-again.
-
-## Code reviews
-
-All submissions, including submissions by project members, require review. We
-use GitHub pull requests for this purpose. Consult
-[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
-information on using pull requests.
-
-## Community Guidelines
-
-This project follows [Google's Open Source Community
-Guidelines](https://opensource.google.com/conduct/).
diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
deleted file mode 100644
index b9f06f21..00000000
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ /dev/null
@@ -1,43 +0,0 @@
----
-name: Bug report
-about: Create a report to help us improve
-
----
-
-Thanks for stopping by to let us know something could be better!
-
-**PLEASE READ**: If you have a support contract with Google, please create an issue in the [support console](https://cloud.google.com/support/) instead of filing on GitHub. This will ensure a timely response.
-
-Please run down the following list and make sure you've tried the usual "quick fixes":
-
-  - Search the issues already opened: https://github.com/googleapis/python-language/issues
-  - Search StackOverflow: https://stackoverflow.com/questions/tagged/google-cloud-platform+python
-
-If you are still having issues, please be sure to include as much information as possible:
-
-#### Environment details
-
-  - OS type and version:
-  - Python version: `python --version`
-  - pip version: `pip --version`
-  - `google-cloud-language` version: `pip show google-cloud-language`
-
-#### Steps to reproduce
-
-  1. ?
-  2. ?
-
-#### Code example
-
-```python
-# example
-```
-
-#### Stack trace
-```
-# example
-```
-
-Making sure to follow these steps will guarantee the quickest resolution possible.
-
-Thanks!
diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md
deleted file mode 100644
index 6365857f..00000000
--- a/.github/ISSUE_TEMPLATE/feature_request.md
+++ /dev/null
@@ -1,18 +0,0 @@
----
-name: Feature request
-about: Suggest an idea for this library
-
----
-
-Thanks for stopping by to let us know something could be better!
-
-**PLEASE READ**: If you have a support contract with Google, please create an issue in the [support console](https://cloud.google.com/support/) instead of filing on GitHub. This will ensure a timely response.
-
- **Is your feature request related to a problem? Please describe.**
-A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
- **Describe the solution you'd like**
-A clear and concise description of what you want to happen.
- **Describe alternatives you've considered**
-A clear and concise description of any alternative solutions or features you've considered.
- **Additional context**
-Add any other context or screenshots about the feature request here.
diff --git a/.github/ISSUE_TEMPLATE/support_request.md b/.github/ISSUE_TEMPLATE/support_request.md
deleted file mode 100644
index 99586903..00000000
--- a/.github/ISSUE_TEMPLATE/support_request.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-name: Support request
-about: If you have a support contract with Google, please create an issue in the Google Cloud Support console.
-
----
-
-**PLEASE READ**: If you have a support contract with Google, please create an issue in the [support console](https://cloud.google.com/support/) instead of filing on GitHub. This will ensure a timely response.
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
deleted file mode 100644
index b7ee4967..00000000
--- a/.github/PULL_REQUEST_TEMPLATE.md
+++ /dev/null
@@ -1,7 +0,0 @@
-Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly:
-- [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-language/issues/new/choose) before writing your code!  That way we can discuss the change, evaluate designs, and agree on the general idea
-- [ ] Ensure the tests and linter pass
-- [ ] Code coverage does not decrease (if any source code was changed)
-- [ ] Appropriate docs were updated (if necessary)
-
-Fixes #<issue_number_goes_here> 🦕
diff --git a/.github/release-please.yml b/.github/release-please.yml
deleted file mode 100644
index 4507ad05..00000000
--- a/.github/release-please.yml
+++ /dev/null
@@ -1 +0,0 @@
-releaseType: python
diff --git a/.gitignore b/.gitignore
deleted file mode 100644
index b87e1ed5..00000000
--- a/.gitignore
+++ /dev/null
@@ -1,60 +0,0 @@
-*.py[cod]
-*.sw[op]
-
-# C extensions
-*.so
-
-# Packages
-*.egg
-*.egg-info
-dist
-build
-eggs
-.eggs
-parts
-bin
-var
-sdist
-develop-eggs
-.installed.cfg
-lib
-lib64
-__pycache__
-
-# Installer logs
-pip-log.txt
-
-# Unit test / coverage reports
-.coverage
-.nox
-.cache
-.pytest_cache
-
-
-# Mac
-.DS_Store
-
-# JetBrains
-.idea
-
-# VS Code
-.vscode
-
-# emacs
-*~
-
-# Built documentation
-docs/_build
-bigquery/docs/generated
-
-# Virtual environment
-env/
-coverage.xml
-sponge_log.xml
-
-# System test environment variables.
-system_tests/local_test_setup
-
-# Make sure a generated file isn't accidentally committed.
-pylintrc
-pylintrc.test
\ No newline at end of file
diff --git a/.kokoro/build.sh b/.kokoro/build.sh
deleted file mode 100755
index 9a5a6e61..00000000
--- a/.kokoro/build.sh
+++ /dev/null
@@ -1,39 +0,0 @@
-#!/bin/bash
-# Copyright 2018 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-
-cd github/python-language
-
-# Disable buffering, so that the logs stream through.
-export PYTHONUNBUFFERED=1
-
-# Debug: show build environment
-env | grep KOKORO
-
-# Setup service account credentials.
-export GOOGLE_APPLICATION_CREDENTIALS=${KOKORO_GFILE_DIR}/service-account.json
-
-# Setup project id.
-export PROJECT_ID=$(cat "${KOKORO_GFILE_DIR}/project-id.json")
-
-# Remove old nox
-python3.6 -m pip uninstall --yes --quiet nox-automation
-
-# Install nox
-python3.6 -m pip install --upgrade --quiet nox
-python3.6 -m nox --version
-
-python3.6 -m nox
diff --git a/.kokoro/continuous/common.cfg b/.kokoro/continuous/common.cfg
deleted file mode 100644
index ba6c6dd9..00000000
--- a/.kokoro/continuous/common.cfg
+++ /dev/null
@@ -1,27 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Download resources for system tests (service account key, etc.)
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/google-cloud-python"
-
-# Use the trampoline script to run in docker.
-build_file: "python-language/.kokoro/trampoline.sh"
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-multi"
-}
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-language/.kokoro/build.sh"
-}
diff --git a/.kokoro/continuous/continuous.cfg b/.kokoro/continuous/continuous.cfg
deleted file mode 100644
index 8f43917d..00000000
--- a/.kokoro/continuous/continuous.cfg
+++ /dev/null
@@ -1 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
\ No newline at end of file
diff --git a/.kokoro/docs/common.cfg b/.kokoro/docs/common.cfg
deleted file mode 100644
index 277799cb..00000000
--- a/.kokoro/docs/common.cfg
+++ /dev/null
@@ -1,48 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-language/.kokoro/trampoline.sh"
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-multi"
-}
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-language/.kokoro/publish-docs.sh"
-}
-
-env_vars: {
-    key: "STAGING_BUCKET"
-    value: "docs-staging"
-}
-
-# Fetch the token needed for reporting release status to GitHub
-before_action {
-  fetch_keystore {
-    keystore_resource {
-      keystore_config_id: 73713
-      keyname: "yoshi-automation-github-key"
-    }
-  }
-}
-
-before_action {
-  fetch_keystore {
-    keystore_resource {
-      keystore_config_id: 73713
-      keyname: "docuploader_service_account"
-    }
-  }
-}
\ No newline at end of file
diff --git a/.kokoro/docs/docs.cfg b/.kokoro/docs/docs.cfg
deleted file mode 100644
index 8f43917d..00000000
--- a/.kokoro/docs/docs.cfg
+++ /dev/null
@@ -1 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
\ No newline at end of file
diff --git a/.kokoro/presubmit/common.cfg b/.kokoro/presubmit/common.cfg
deleted file mode 100644
index ba6c6dd9..00000000
--- a/.kokoro/presubmit/common.cfg
+++ /dev/null
@@ -1,27 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Download resources for system tests (service account key, etc.)
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/google-cloud-python"
-
-# Use the trampoline script to run in docker.
-build_file: "python-language/.kokoro/trampoline.sh"
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-multi"
-}
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-language/.kokoro/build.sh"
-}
diff --git a/.kokoro/presubmit/presubmit.cfg b/.kokoro/presubmit/presubmit.cfg
deleted file mode 100644
index 8f43917d..00000000
--- a/.kokoro/presubmit/presubmit.cfg
+++ /dev/null
@@ -1 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
\ No newline at end of file
diff --git a/.kokoro/publish-docs.sh b/.kokoro/publish-docs.sh
deleted file mode 100755
index becf302b..00000000
--- a/.kokoro/publish-docs.sh
+++ /dev/null
@@ -1,55 +0,0 @@
-#!/bin/bash
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-
-# Disable buffering, so that the logs stream through.
-export PYTHONUNBUFFERED=1
-
-cd github/python-language
-
-# Remove old nox
-python3.6 -m pip uninstall --yes --quiet nox-automation
-
-# Install nox
-python3.6 -m pip install --upgrade --quiet nox
-python3.6 -m nox --version
-
-# build docs
-nox -s docs
-
-python3 -m pip install gcp-docuploader
-
-# install a json parser
-sudo apt-get update
-sudo apt-get -y install software-properties-common
-sudo add-apt-repository universe
-sudo apt-get update
-sudo apt-get -y install jq
-
-# create metadata
-python3 -m docuploader create-metadata \
-  --name=$(jq --raw-output '.name // empty' .repo-metadata.json) \
-  --version=$(python3 setup.py --version) \
-  --language=$(jq --raw-output '.language // empty' .repo-metadata.json) \
-  --distribution-name=$(python3 setup.py --name) \
-  --product-page=$(jq --raw-output '.product_documentation // empty' .repo-metadata.json) \
-  --github-repository=$(jq --raw-output '.repo // empty' .repo-metadata.json) \
-  --issue-tracker=$(jq --raw-output '.issue_tracker // empty' .repo-metadata.json)
-
-cat docs.metadata
-
-# upload docs
-python3 -m docuploader upload docs/_build/html --metadata-file docs.metadata --staging-bucket docs-staging
diff --git a/.kokoro/release.sh b/.kokoro/release.sh
deleted file mode 100755
index 045cb037..00000000
--- a/.kokoro/release.sh
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/bin/bash
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-
-# Start the releasetool reporter
-python3 -m pip install gcp-releasetool
-python3 -m releasetool publish-reporter-script > /tmp/publisher-script; source /tmp/publisher-script
-
-# Ensure that we have the latest versions of Twine, Wheel, and Setuptools.
-python3 -m pip install --upgrade twine wheel setuptools
-
-# Disable buffering, so that the logs stream through.
-export PYTHONUNBUFFERED=1
-
-# Move into the package, build the distribution and upload.
-TWINE_PASSWORD=$(cat "${KOKORO_KEYSTORE_DIR}/73713_google_cloud_pypi_password")
-cd github/python-language
-python3 setup.py sdist bdist_wheel
-twine upload --username gcloudpypi --password "${TWINE_PASSWORD}" dist/*
diff --git a/.kokoro/release/common.cfg b/.kokoro/release/common.cfg
deleted file mode 100644
index b54eed24..00000000
--- a/.kokoro/release/common.cfg
+++ /dev/null
@@ -1,64 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-language/.kokoro/trampoline.sh"
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-multi"
-}
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-language/.kokoro/release.sh"
-}
-
-# Fetch the token needed for reporting release status to GitHub
-before_action {
-  fetch_keystore {
-    keystore_resource {
-      keystore_config_id: 73713
-      keyname: "yoshi-automation-github-key"
-    }
-  }
-}
-
-# Fetch PyPI password
-before_action {
-  fetch_keystore {
-    keystore_resource {
-      keystore_config_id: 73713
-      keyname: "google_cloud_pypi_password"
-    }
-  }
-}
-
-# Fetch magictoken to use with Magic Github Proxy 
-before_action {
-  fetch_keystore {
-    keystore_resource {
-      keystore_config_id: 73713
-      keyname: "releasetool-magictoken"
-    }
-  }
-}
-
-# Fetch api key to use with Magic Github Proxy 
-before_action {
-  fetch_keystore {
-    keystore_resource {
-      keystore_config_id: 73713
-      keyname: "magic-github-proxy-api-key"
-    }
-  }
-}
diff --git a/.kokoro/release/release.cfg b/.kokoro/release/release.cfg
deleted file mode 100644
index 8f43917d..00000000
--- a/.kokoro/release/release.cfg
+++ /dev/null
@@ -1 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
\ No newline at end of file
diff --git a/.kokoro/samples/lint/common.cfg b/.kokoro/samples/lint/common.cfg
deleted file mode 100644
index f3f92a93..00000000
--- a/.kokoro/samples/lint/common.cfg
+++ /dev/null
@@ -1,34 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "lint"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-language/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-language/.kokoro/trampoline.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/lint/continuous.cfg b/.kokoro/samples/lint/continuous.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/lint/continuous.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/lint/periodic.cfg b/.kokoro/samples/lint/periodic.cfg
deleted file mode 100644
index 50fec964..00000000
--- a/.kokoro/samples/lint/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/lint/presubmit.cfg b/.kokoro/samples/lint/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/lint/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.6/common.cfg b/.kokoro/samples/python3.6/common.cfg
deleted file mode 100644
index e70b6034..00000000
--- a/.kokoro/samples/python3.6/common.cfg
+++ /dev/null
@@ -1,34 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "py-3.6"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-language/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-language/.kokoro/trampoline.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/python3.6/continuous.cfg b/.kokoro/samples/python3.6/continuous.cfg
deleted file mode 100644
index 7218af14..00000000
--- a/.kokoro/samples/python3.6/continuous.cfg
+++ /dev/null
@@ -1,7 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
-
diff --git a/.kokoro/samples/python3.6/periodic.cfg b/.kokoro/samples/python3.6/periodic.cfg
deleted file mode 100644
index 50fec964..00000000
--- a/.kokoro/samples/python3.6/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.6/presubmit.cfg b/.kokoro/samples/python3.6/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.6/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.7/common.cfg b/.kokoro/samples/python3.7/common.cfg
deleted file mode 100644
index 4d745031..00000000
--- a/.kokoro/samples/python3.7/common.cfg
+++ /dev/null
@@ -1,34 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "py-3.7"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-language/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-language/.kokoro/trampoline.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/python3.7/continuous.cfg b/.kokoro/samples/python3.7/continuous.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.7/continuous.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.7/periodic.cfg b/.kokoro/samples/python3.7/periodic.cfg
deleted file mode 100644
index 50fec964..00000000
--- a/.kokoro/samples/python3.7/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.7/presubmit.cfg b/.kokoro/samples/python3.7/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.7/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.8/common.cfg b/.kokoro/samples/python3.8/common.cfg
deleted file mode 100644
index bf242e12..00000000
--- a/.kokoro/samples/python3.8/common.cfg
+++ /dev/null
@@ -1,34 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-# Build logs will be here
-action {
-  define_artifacts {
-    regex: "**/*sponge_log.xml"
-  }
-}
-
-# Specify which tests to run
-env_vars: {
-    key: "RUN_TESTS_SESSION"
-    value: "py-3.8"
-}
-
-env_vars: {
-    key: "TRAMPOLINE_BUILD_FILE"
-    value: "github/python-language/.kokoro/test-samples.sh"
-}
-
-# Configure the docker image for kokoro-trampoline.
-env_vars: {
-    key: "TRAMPOLINE_IMAGE"
-    value: "gcr.io/cloud-devrel-kokoro-resources/python-samples-testing-docker"
-}
-
-# Download secrets for samples
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/python-docs-samples"
-
-# Download trampoline resources.
-gfile_resources: "/bigstore/cloud-devrel-kokoro-resources/trampoline"
-
-# Use the trampoline script to run in docker.
-build_file: "python-language/.kokoro/trampoline.sh"
\ No newline at end of file
diff --git a/.kokoro/samples/python3.8/continuous.cfg b/.kokoro/samples/python3.8/continuous.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.8/continuous.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.8/periodic.cfg b/.kokoro/samples/python3.8/periodic.cfg
deleted file mode 100644
index 50fec964..00000000
--- a/.kokoro/samples/python3.8/periodic.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "False"
-}
\ No newline at end of file
diff --git a/.kokoro/samples/python3.8/presubmit.cfg b/.kokoro/samples/python3.8/presubmit.cfg
deleted file mode 100644
index a1c8d975..00000000
--- a/.kokoro/samples/python3.8/presubmit.cfg
+++ /dev/null
@@ -1,6 +0,0 @@
-# Format: //devtools/kokoro/config/proto/build.proto
-
-env_vars: {
-    key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
-}
\ No newline at end of file
diff --git a/.kokoro/test-samples.sh b/.kokoro/test-samples.sh
deleted file mode 100755
index 6576035c..00000000
--- a/.kokoro/test-samples.sh
+++ /dev/null
@@ -1,104 +0,0 @@
-#!/bin/bash
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-# `-e` enables the script to automatically fail when a command fails
-# `-o pipefail` sets the exit code to the rightmost comment to exit with a non-zero
-set -eo pipefail
-# Enables `**` to include files nested inside sub-folders
-shopt -s globstar
-
-cd github/python-language
-
-# Run periodic samples tests at latest release
-if [[ $KOKORO_BUILD_ARTIFACTS_SUBDIR = *"periodic"* ]]; then
-    LATEST_RELEASE=$(git describe --abbrev=0 --tags)
-    git checkout $LATEST_RELEASE
-fi
-
-# Disable buffering, so that the logs stream through.
-export PYTHONUNBUFFERED=1
-
-# Debug: show build environment
-env | grep KOKORO
-
-# Install nox
-python3.6 -m pip install --upgrade --quiet nox
-
-# Use secrets acessor service account to get secrets
-if [[ -f "${KOKORO_GFILE_DIR}/secrets_viewer_service_account.json" ]]; then
-    gcloud auth activate-service-account \
-	   --key-file="${KOKORO_GFILE_DIR}/secrets_viewer_service_account.json" \
-	   --project="cloud-devrel-kokoro-resources"
-fi
-
-# This script will create 3 files:
-# - testing/test-env.sh
-# - testing/service-account.json
-# - testing/client-secrets.json
-./scripts/decrypt-secrets.sh
-
-source ./testing/test-env.sh
-export GOOGLE_APPLICATION_CREDENTIALS=$(pwd)/testing/service-account.json
-
-# For cloud-run session, we activate the service account for gcloud sdk.
-gcloud auth activate-service-account \
-       --key-file "${GOOGLE_APPLICATION_CREDENTIALS}"
-
-export GOOGLE_CLIENT_SECRETS=$(pwd)/testing/client-secrets.json
-
-echo -e "\n******************** TESTING PROJECTS ********************"
-
-# Switch to 'fail at end' to allow all tests to complete before exiting.
-set +e
-# Use RTN to return a non-zero value if the test fails.
-RTN=0
-ROOT=$(pwd)
-# Find all requirements.txt in the samples directory (may break on whitespace).
-for file in samples/**/requirements.txt; do
-    cd "$ROOT"
-    # Navigate to the project folder.
-    file=$(dirname "$file")
-    cd "$file"
-
-    echo "------------------------------------------------------------"
-    echo "- testing $file"
-    echo "------------------------------------------------------------"
-
-    # Use nox to execute the tests for the project.
-    python3.6 -m nox -s "$RUN_TESTS_SESSION"
-    EXIT=$?
-
-    # If this is a periodic build, send the test log to the Build Cop Bot.
-    # See https://github.com/googleapis/repo-automation-bots/tree/master/packages/buildcop.
-    if [[ $KOKORO_BUILD_ARTIFACTS_SUBDIR = *"periodic"* ]]; then
-      chmod +x $KOKORO_GFILE_DIR/linux_amd64/buildcop
-      $KOKORO_GFILE_DIR/linux_amd64/buildcop
-    fi
-
-    if [[ $EXIT -ne 0 ]]; then
-      RTN=1
-      echo -e "\n Testing failed: Nox returned a non-zero exit code. \n"
-    else
-      echo -e "\n Testing completed.\n"
-    fi
-
-done
-cd "$ROOT"
-
-# Workaround for Kokoro permissions issue: delete secrets
-rm testing/{test-env.sh,client-secrets.json,service-account.json}
-
-exit "$RTN"
\ No newline at end of file
diff --git a/.kokoro/trampoline.sh b/.kokoro/trampoline.sh
deleted file mode 100755
index e8c4251f..00000000
--- a/.kokoro/trampoline.sh
+++ /dev/null
@@ -1,23 +0,0 @@
-#!/bin/bash
-# Copyright 2017 Google Inc.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-set -eo pipefail
-
-python3 "${KOKORO_GFILE_DIR}/trampoline_v1.py"  || ret_code=$?
-
-chmod +x ${KOKORO_GFILE_DIR}/trampoline_cleanup.sh
-${KOKORO_GFILE_DIR}/trampoline_cleanup.sh || true
-
-exit ${ret_code}
diff --git a/.repo-metadata.json b/.repo-metadata.json
index b87aaa1f..21e66a7f 100644
--- a/.repo-metadata.json
+++ b/.repo-metadata.json
@@ -1,13 +1,18 @@
 {
-  "name": "language",
-  "name_pretty": "Natural Language",
-  "product_documentation": "https://cloud.google.com/natural-language/docs/",
-  "client_documentation": "https://googleapis.dev/python/language/latest",
-  "issue_tracker": "https://issuetracker.google.com/savedsearches/559753",
-  "release_level": "ga",
-  "language": "python",
-  "repo": "googleapis/python-language",
-  "distribution_name": "google-cloud-language",
-  "api_id": "language.googleapis.com",
-  "requires_billing": true
-}
\ No newline at end of file
+    "name": "language",
+    "name_pretty": "Natural Language",
+    "product_documentation": "https://cloud.google.com/natural-language/docs/",
+    "client_documentation": "https://cloud.google.com/python/docs/reference/language/latest",
+    "issue_tracker": "https://issuetracker.google.com/savedsearches/559753",
+    "release_level": "stable",
+    "language": "python",
+    "library_type": "GAPIC_AUTO",
+    "repo": "googleapis/python-language",
+    "distribution_name": "google-cloud-language",
+    "api_id": "language.googleapis.com",
+    "requires_billing": true,
+    "default_version": "v1",
+    "codeowner_team": "@googleapis/cdpe-cloudai",
+    "api_shortname": "language",
+    "api_description": "provides natural language understanding technologies to developers, including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis. This API is part of the larger Cloud Machine Learning API family."
+}
diff --git a/CHANGELOG.md b/CHANGELOG.md
deleted file mode 100644
index 50cd9793..00000000
--- a/CHANGELOG.md
+++ /dev/null
@@ -1,176 +0,0 @@
-# Changelog
-
-[PyPI History][1]
-
-[1]: https://pypi.org/project/google-cloud-language/#history
-
-## 1.3.0
-
-07-24-2019 16:44 PDT
-
-
-### Implementation Changes
-- Allow kwargs to be passed to create_channel  ([#8396](https://github.com/googleapis/google-cloud-python/pull/8396))
-
-### New Features
-- Add 'client_options' support (via synth). ([#8515](https://github.com/googleapis/google-cloud-python/pull/8515))
-
-### Dependencies
-- Bump minimum version for google-api-core to 1.14.0. ([#8709](https://github.com/googleapis/google-cloud-python/pull/8709))
-
-### Documentation
-- Link to googleapis.dev documentation in READMEs. ([#8705](https://github.com/googleapis/google-cloud-python/pull/8705))
-- Add compatibility check badges to READMEs. ([#8288](https://github.com/googleapis/google-cloud-python/pull/8288))
-- Add google.api proto annotations, update docstrings (via synth). ([#7659](https://github.com/googleapis/google-cloud-python/pull/7659))
-
-### Internal / Testing Changes
-- Pin black version (via synth). ([#8588](https://github.com/googleapis/google-cloud-python/pull/8588))
-- Add docs job to publish to googleapis.dev. ([#8464](https://github.com/googleapis/google-cloud-python/pull/8464))
-- Declare encoding as utf-8 in pb2 files (via synth). ([#8357](https://github.com/googleapis/google-cloud-python/pull/8357))
-- Add disclaimer to auto-generated template files (via synth).  ([#8319](https://github.com/googleapis/google-cloud-python/pull/8319))
-- Suppress checking 'cov-fail-under' in nox default session (via synth).  ([#8246](https://github.com/googleapis/google-cloud-python/pull/8246))
-- Blacken 'noxfile.py' / 'setup.py' (via synth). ([#8158](https://github.com/googleapis/google-cloud-python/pull/8158))
-- Add empty lines (via synth). ([#8063](https://github.com/googleapis/google-cloud-python/pull/8063))
-- Add nox session `docs` (via synth). ([#7776](https://github.com/googleapis/google-cloud-python/pull/7776))
-
-## 1.2.0
-
-03-29-2019 09:53 PDT
-
-
-### Implementation Changes
-- Remove classifier for Python 3.4 for end-of-life. ([#7535](https://github.com/googleapis/google-cloud-python/pull/7535))
-- Protoc-generated serialization update. ([#7087](https://github.com/googleapis/google-cloud-python/pull/7087))
-
-### New Features
-- Add new entity types (via synth). ([#7510](https://github.com/googleapis/google-cloud-python/pull/7510))
-
-### Documentation
-- Update client library documentation URLs. ([#7307](https://github.com/googleapis/google-cloud-python/pull/7307))
-- Update copyright headers
-- Pick up stub docstring fix in GAPIC generator. ([#6975](https://github.com/googleapis/google-cloud-python/pull/6975))
-
-### Internal / Testing Changes
-- Copy lintified proto files (via synth). ([#7468](https://github.com/googleapis/google-cloud-python/pull/7468))
-- Add clarifying comment to blacken nox target. ([#7397](https://github.com/googleapis/google-cloud-python/pull/7397))
-- Copy in correct proto versions via synth. [#7257](https://github.com/googleapis/google-cloud-python/pull/7257))
-- Add protos as an artifact to library ([#7205](https://github.com/googleapis/google-cloud-python/pull/7205))
-
-## 1.1.1
-
-12-18-2018 09:34 PST
-
-
-### Implementation Changes
-- Import `iam.policy` from `google.api_core`. ([#6741](https://github.com/googleapis/google-cloud-python/pull/6741))
-- Pick up fixes to GAPIC generator. ([#6521](https://github.com/googleapis/google-cloud-python/pull/6521))
-- Fix `client_info` bug, update docstrings. ([#6415](https://github.com/googleapis/google-cloud-python/pull/6415))
-
-### Dependencies
-- Bump minimum `api_core` version for all GAPIC libs to 1.4.1. ([#6391](https://github.com/googleapis/google-cloud-python/pull/6391))
-
-### Documentation
-- Document Python 2 deprecation ([#6910](https://github.com/googleapis/google-cloud-python/pull/6910))
-- Normalize use of support level badges ([#6159](https://github.com/googleapis/google-cloud-python/pull/6159))
-- Fix usage docs example for entity extraction ([#6193](https://github.com/googleapis/google-cloud-python/pull/6193))
-
-### Internal / Testing Changes
-- Update noxfile.
-- Blacken all gen'd libs ([#6792](https://github.com/googleapis/google-cloud-python/pull/6792))
-- Omit local deps ([#6701](https://github.com/googleapis/google-cloud-python/pull/6701))
-- Run black at end of synth.py ([#6698](https://github.com/googleapis/google-cloud-python/pull/6698))
-- Run Black on Generated libraries ([#6666](https://github.com/googleapis/google-cloud-python/pull/6666))
-- Add templates for flake8, coveragerc, noxfile, and black. ([#6642](https://github.com/googleapis/google-cloud-python/pull/6642))
-- Add synth metadata. ([#6570](https://github.com/googleapis/google-cloud-python/pull/6570))
-- Use new Nox ([#6175](https://github.com/googleapis/google-cloud-python/pull/6175))
-
-## 1.1.0
-
-10-05-2018 13:52 PDT
-
-### Implementation Changes
-
-- The library has been regenerated to pick up changes in the underlying API.
-- Add Test runs for Python 3.7 and remove 3.4 ([#5295](https://github.com/googleapis/google-cloud-python/pull/5295))
-
-### Documentation
-
-- Translate / Logging / Language: restore detailed usage docs. ([#5999](https://github.com/googleapis/google-cloud-python/pull/5999))
-- Redirect renamed 'usage.html'/'client.html' -> 'index.html'. ([#5996](https://github.com/googleapis/google-cloud-python/pull/5996))
-- Prep language docs for repo split. ([#5932](https://github.com/googleapis/google-cloud-python/pull/5932))
-
-### Internal / Testing Changes
-
-- Language: add 'synth.py'. ([#6080](https://github.com/googleapis/google-cloud-python/pull/6080))
-- Nox: use inplace installs ([#5865](https://github.com/googleapis/google-cloud-python/pull/5865))
-- Avoid overwriting '__module__' of messages from shared modules. ([#5364](https://github.com/googleapis/google-cloud-python/pull/5364))
-- Modify system tests to use prerelease versions of grpcio ([#5304](https://github.com/googleapis/google-cloud-python/pull/5304))
-
-## 1.0.2
-
-### Packaging
-- Update setuptools before packaging (#5265)
-- Update setup.py to use recommended method for python-verson specific dependencies (#5266)
-- Fix bad trove classifier
-
-## 1.0.1
-
-### Dependencies
-
-- Update dependency range for api-core to include v1.0.0 releases (#4944)
-
-### Testing and internal changes
-
-- Install local dependencies when running lint (#4936)
-- Re-enable lint for tests, remove usage of pylint (#4921)
-- Normalize all setup.py files (#4909)
-- Fix coveragerc to correctly omit generated files (#4843)
-
-## 1.0.0
-
-[![release level](https://img.shields.io/badge/release%20level-general%20availability%20%28GA%29-brightgreen.svg?style&#x3D;flat)](https://cloud.google.com/terms/launch-stages)
-
-### Features
-
-##### General Availability
-
-The `google-cloud-language` package is now supported at the **general availability** quality level. This means it is stable; the code and API surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period.
-
-One exception to this: We will remove beta endpoints (as a semver-minor update) at whatever point the underlying endpoints go away.
-
-## 0.31.0
-
-### Release Candidate
-
-  * This update is considered a final "release candidate", and
-    the `google-cloud-language` package is preparing for a GA release
-    in the near future.
-
-### :warning: Breaking Changes!
-
-  * Some rarely-used arguments to the `LanguageServiceClient` constructor
-    have been removed (in favor of a subclass or a custom gRPC channel).
-    It is unlikely that you used these, but if you did, then this update
-    will represent a breaking change.
-      * The removed arguments are: `client_config`, `lib_name`, `lib_version`
-        `metrics_headers`, `ssl_credentials`, and `scopes`.
-
-### Features
-
-  * Added the `classify_text` method on the primary (`v1`) endpoint. (#4283)
-
-## 0.30.0
-
-### Documentation
-
-- Added link to "Python Development Environment Setup Guide" in
-  project README (#4187, h/t to @michaelawyu)
-
-### Dependencies
-
-- Upgrading to `google-cloud-core >= 0.28.0` and adding dependency
-  on `google-api-core` (#4221, #4280)
-- Deferring to `google-api-core` for `grpcio` and
-  `googleapis-common-protos`dependencies (#4096, #4098)
-
-PyPI: https://pypi.org/project/google-cloud-language/0.30.0/
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
deleted file mode 100644
index b3d1f602..00000000
--- a/CODE_OF_CONDUCT.md
+++ /dev/null
@@ -1,44 +0,0 @@
-<!-- # Generated by synthtool. DO NOT EDIT! !-->
-# Contributor Code of Conduct
-
-As contributors and maintainers of this project,
-and in the interest of fostering an open and welcoming community,
-we pledge to respect all people who contribute through reporting issues,
-posting feature requests, updating documentation,
-submitting pull requests or patches, and other activities.
-
-We are committed to making participation in this project
-a harassment-free experience for everyone,
-regardless of level of experience, gender, gender identity and expression,
-sexual orientation, disability, personal appearance,
-body size, race, ethnicity, age, religion, or nationality.
-
-Examples of unacceptable behavior by participants include:
-
-* The use of sexualized language or imagery
-* Personal attacks
-* Trolling or insulting/derogatory comments
-* Public or private harassment
-* Publishing other's private information,
-such as physical or electronic
-addresses, without explicit permission
-* Other unethical or unprofessional conduct.
-
-Project maintainers have the right and responsibility to remove, edit, or reject
-comments, commits, code, wiki edits, issues, and other contributions
-that are not aligned to this Code of Conduct.
-By adopting this Code of Conduct,
-project maintainers commit themselves to fairly and consistently
-applying these principles to every aspect of managing this project.
-Project maintainers who do not follow or enforce the Code of Conduct
-may be permanently removed from the project team.
-
-This code of conduct applies both within project spaces and in public spaces
-when an individual is representing the project or its community.
-
-Instances of abusive, harassing, or otherwise unacceptable behavior
-may be reported by opening an issue
-or contacting one or more of the project maintainers.
-
-This Code of Conduct is adapted from the [Contributor Covenant](http://contributor-covenant.org), version 1.2.0,
-available at [http://contributor-covenant.org/version/1/2/0/](http://contributor-covenant.org/version/1/2/0/)
diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
deleted file mode 100644
index 56875c06..00000000
--- a/CONTRIBUTING.rst
+++ /dev/null
@@ -1,270 +0,0 @@
-.. Generated by synthtool. DO NOT EDIT!
-############
-Contributing
-############
-
-#. **Please sign one of the contributor license agreements below.**
-#. Fork the repo, develop and test your code changes, add docs.
-#. Make sure that your commit messages clearly describe the changes.
-#. Send a pull request. (Please Read: `Faster Pull Request Reviews`_)
-
-.. _Faster Pull Request Reviews: https://github.com/kubernetes/community/blob/master/contributors/guide/pull-requests.md#best-practices-for-faster-reviews
-
-.. contents:: Here are some guidelines for hacking on the Google Cloud Client libraries.
-
-***************
-Adding Features
-***************
-
-In order to add a feature:
-
-- The feature must be documented in both the API and narrative
-  documentation.
-
-- The feature must work fully on the following CPython versions:  2.7,
-  3.5, 3.6, 3.7 and 3.8 on both UNIX and Windows.
-
-- The feature must not add unnecessary dependencies (where
-  "unnecessary" is of course subjective, but new dependencies should
-  be discussed).
-
-****************************
-Using a Development Checkout
-****************************
-
-You'll have to create a development environment using a Git checkout:
-
-- While logged into your GitHub account, navigate to the
-  ``python-language`` `repo`_ on GitHub.
-
-- Fork and clone the ``python-language`` repository to your GitHub account by
-  clicking the "Fork" button.
-
-- Clone your fork of ``python-language`` from your GitHub account to your local
-  computer, substituting your account username and specifying the destination
-  as ``hack-on-python-language``.  E.g.::
-
-   $ cd ${HOME}
-   $ git clone git@github.com:USERNAME/python-language.git hack-on-python-language
-   $ cd hack-on-python-language
-   # Configure remotes such that you can pull changes from the googleapis/python-language
-   # repository into your local repository.
-   $ git remote add upstream git@github.com:googleapis/python-language.git
-   # fetch and merge changes from upstream into master
-   $ git fetch upstream
-   $ git merge upstream/master
-
-Now your local repo is set up such that you will push changes to your GitHub
-repo, from which you can submit a pull request.
-
-To work on the codebase and run the tests, we recommend using ``nox``,
-but you can also use a ``virtualenv`` of your own creation.
-
-.. _repo: https://github.com/googleapis/python-language
-
-Using ``nox``
-=============
-
-We use `nox <https://nox.readthedocs.io/en/latest/>`__ to instrument our tests.
-
-- To test your changes, run unit tests with ``nox``::
-
-    $ nox -s unit-2.7
-    $ nox -s unit-3.7
-    $ ...
-
-  .. note::
-
-    The unit tests and system tests are described in the
-    ``noxfile.py`` files in each directory.
-
-.. nox: https://pypi.org/project/nox/
-
-Note on Editable Installs / Develop Mode
-========================================
-
-- As mentioned previously, using ``setuptools`` in `develop mode`_
-  or a ``pip`` `editable install`_ is not possible with this
-  library. This is because this library uses `namespace packages`_.
-  For context see `Issue #2316`_ and the relevant `PyPA issue`_.
-
-  Since ``editable`` / ``develop`` mode can't be used, packages
-  need to be installed directly. Hence your changes to the source
-  tree don't get incorporated into the **already installed**
-  package.
-
-.. _namespace packages: https://www.python.org/dev/peps/pep-0420/
-.. _Issue #2316: https://github.com/GoogleCloudPlatform/google-cloud-python/issues/2316
-.. _PyPA issue: https://github.com/pypa/packaging-problems/issues/12
-.. _develop mode: https://setuptools.readthedocs.io/en/latest/setuptools.html#development-mode
-.. _editable install: https://pip.pypa.io/en/stable/reference/pip_install/#editable-installs
-
-*****************************************
-I'm getting weird errors... Can you help?
-*****************************************
-
-If the error mentions ``Python.h`` not being found,
-install ``python-dev`` and try again.
-On Debian/Ubuntu::
-
-  $ sudo apt-get install python-dev
-
-************
-Coding Style
-************
-
-- PEP8 compliance, with exceptions defined in the linter configuration.
-  If you have ``nox`` installed, you can test that you have not introduced
-  any non-compliant code via::
-
-   $ nox -s lint
-
-- In order to make ``nox -s lint`` run faster, you can set some environment
-  variables::
-
-   export GOOGLE_CLOUD_TESTING_REMOTE="upstream"
-   export GOOGLE_CLOUD_TESTING_BRANCH="master"
-
-  By doing this, you are specifying the location of the most up-to-date
-  version of ``python-language``. The the suggested remote name ``upstream``
-  should point to the official ``googleapis`` checkout and the
-  the branch should be the main branch on that remote (``master``).
-
-Exceptions to PEP8:
-
-- Many unit tests use a helper method, ``_call_fut`` ("FUT" is short for
-  "Function-Under-Test"), which is PEP8-incompliant, but more readable.
-  Some also use a local variable, ``MUT`` (short for "Module-Under-Test").
-
-********************
-Running System Tests
-********************
-
-- To run system tests, you can execute::
-
-   $ nox -s system-3.7
-   $ nox -s system-2.7
-
-  .. note::
-
-      System tests are only configured to run under Python 2.7 and
-      Python 3.7. For expediency, we do not run them in older versions
-      of Python 3.
-
-  This alone will not run the tests. You'll need to change some local
-  auth settings and change some configuration in your project to
-  run all the tests.
-
-- System tests will be run against an actual project and
-  so you'll need to provide some environment variables to facilitate
-  authentication to your project:
-
-  - ``GOOGLE_APPLICATION_CREDENTIALS``: The path to a JSON key file;
-    Such a file can be downloaded directly from the developer's console by clicking
-    "Generate new JSON key". See private key
-    `docs <https://cloud.google.com/storage/docs/authentication#generating-a-private-key>`__
-    for more details.
-
-- Once you have downloaded your json keys, set the environment variable 
-  ``GOOGLE_APPLICATION_CREDENTIALS`` to the absolute path of the json file::
-
-   $ export GOOGLE_APPLICATION_CREDENTIALS="/Users/<your_username>/path/to/app_credentials.json"
-
-
-*************
-Test Coverage
-*************
-
-- The codebase *must* have 100% test statement coverage after each commit.
-  You can test coverage via ``nox -s cover``.
-
-******************************************************
-Documentation Coverage and Building HTML Documentation
-******************************************************
-
-If you fix a bug, and the bug requires an API or behavior modification, all
-documentation in this package which references that API or behavior must be
-changed to reflect the bug fix, ideally in the same commit that fixes the bug
-or adds the feature.
-
-Build the docs via:
-
-   $ nox -s docs
-
-********************************************
-Note About ``README`` as it pertains to PyPI
-********************************************
-
-The `description on PyPI`_ for the project comes directly from the
-``README``. Due to the reStructuredText (``rst``) parser used by
-PyPI, relative links which will work on GitHub (e.g. ``CONTRIBUTING.rst``
-instead of
-``https://github.com/googleapis/python-language/blob/master/CONTRIBUTING.rst``)
-may cause problems creating links or rendering the description.
-
-.. _description on PyPI: https://pypi.org/project/google-cloud-language
-
-
-*************************
-Supported Python Versions
-*************************
-
-We support:
-
--  `Python 3.5`_
--  `Python 3.6`_
--  `Python 3.7`_
--  `Python 3.8`_
-
-.. _Python 3.5: https://docs.python.org/3.5/
-.. _Python 3.6: https://docs.python.org/3.6/
-.. _Python 3.7: https://docs.python.org/3.7/
-.. _Python 3.8: https://docs.python.org/3.8/
-
-
-Supported versions can be found in our ``noxfile.py`` `config`_.
-
-.. _config: https://github.com/googleapis/python-language/blob/master/noxfile.py
-
-Python 2.7 support is deprecated. All code changes should maintain Python 2.7 compatibility until January 1, 2020.
-
-We also explicitly decided to support Python 3 beginning with version
-3.5. Reasons for this include:
-
--  Encouraging use of newest versions of Python 3
--  Taking the lead of `prominent`_ open-source `projects`_
--  `Unicode literal support`_ which allows for a cleaner codebase that
-   works in both Python 2 and Python 3
-
-.. _prominent: https://docs.djangoproject.com/en/1.9/faq/install/#what-python-version-can-i-use-with-django
-.. _projects: http://flask.pocoo.org/docs/0.10/python3/
-.. _Unicode literal support: https://www.python.org/dev/peps/pep-0414/
-
-**********
-Versioning
-**********
-
-This library follows `Semantic Versioning`_.
-
-.. _Semantic Versioning: http://semver.org/
-
-Some packages are currently in major version zero (``0.y.z``), which means that
-anything may change at any time and the public API should not be considered
-stable.
-
-******************************
-Contributor License Agreements
-******************************
-
-Before we can accept your pull requests you'll need to sign a Contributor
-License Agreement (CLA):
-
-- **If you are an individual writing original source code** and **you own the
-  intellectual property**, then you'll need to sign an
-  `individual CLA <https://developers.google.com/open-source/cla/individual>`__.
-- **If you work for a company that wants to allow you to contribute your work**,
-  then you'll need to sign a
-  `corporate CLA <https://developers.google.com/open-source/cla/corporate>`__.
-
-You can sign these electronically (just scroll to the bottom). After that,
-we'll be able to accept your pull requests.
diff --git a/LICENSE b/LICENSE
index a8ee855d..d6456956 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,6 +1,7 @@
-                            Apache License
+
+                                 Apache License
                            Version 2.0, January 2004
-                        https://www.apache.org/licenses/
+                        http://www.apache.org/licenses/
 
    TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
 
@@ -192,7 +193,7 @@
    you may not use this file except in compliance with the License.
    You may obtain a copy of the License at
 
-       https://www.apache.org/licenses/LICENSE-2.0
+       http://www.apache.org/licenses/LICENSE-2.0
 
    Unless required by applicable law or agreed to in writing, software
    distributed under the License is distributed on an "AS IS" BASIS,
diff --git a/MANIFEST.in b/MANIFEST.in
deleted file mode 100644
index e9e29d12..00000000
--- a/MANIFEST.in
+++ /dev/null
@@ -1,25 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-include README.rst LICENSE
-recursive-include google *.json *.proto
-recursive-include tests *
-global-exclude *.py[co]
-global-exclude __pycache__
-
-# Exclude scripts for samples readmegen
-prune scripts/readme-gen
\ No newline at end of file
diff --git a/README.rst b/README.rst
index 48558dd7..fffdb7ab 100644
--- a/README.rst
+++ b/README.rst
@@ -1,35 +1,27 @@
-Python Client for Google Cloud Natural Language
-===============================================
+:**NOTE**: **This github repository is archived. The repository contents and history have moved to** `google-cloud-python`_.
 
-|GA| |pypi| |versions| 
+.. _google-cloud-python: https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-language
 
-The `Google Cloud Natural Language`_ API can be used to reveal the
-structure and meaning of text via powerful machine
-learning models. You can use it to extract information about
-people, places, events and much more, mentioned in text documents,
-news articles or blog posts. You can use it to understand
-sentiment about your product on social media or parse intent from
-customer conversations happening in a call center or a messaging
-app. You can analyze text uploaded in your request or integrate
-with your document storage on Google Cloud Storage.
+
+Python Client for Natural Language API
+======================================
+
+|stable| |pypi| |versions|
+
+`Natural Language API`_: provides natural language understanding technologies to developers, including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis. This API is part of the larger Cloud Machine Learning API family.
 
 - `Client Library Documentation`_
 - `Product Documentation`_
 
-.. |GA| image:: https://img.shields.io/badge/support-GA-gold.svg
-   :target: https://github.com/googleapis/google-cloud-python/blob/master/README.rst#general-availability
+.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg
+   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels
 .. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-language.svg
    :target: https://pypi.org/project/google-cloud-language/
 .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-language.svg
    :target: https://pypi.org/project/google-cloud-language/
-.. _Google Cloud Natural Language: https://cloud.google.com/natural-language/
-.. _Product Documentation:  https://cloud.google.com/natural-language/docs
-.. _Client Library Documentation: https://googleapis.dev/python/language/latest
-
-.. note::
-
-    This library currently does not run on Google App Engine Standard.
-    We are actively working on adding this support.
+.. _Natural Language API: https://cloud.google.com/natural-language/docs/
+.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/language/latest
+.. _Product Documentation:  https://cloud.google.com/natural-language/docs/
 
 Quick Start
 -----------
@@ -38,12 +30,12 @@ In order to use this library, you first need to go through the following steps:
 
 1. `Select or create a Cloud Platform project.`_
 2. `Enable billing for your project.`_
-3. `Enable the Google Cloud Language API.`_
+3. `Enable the Natural Language API.`_
 4. `Setup Authentication.`_
 
 .. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
 .. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
-.. _Enable the Google Cloud Language API.:  https://cloud.google.com/natural-language
+.. _Enable the Natural Language API.:  https://cloud.google.com/natural-language/docs/
 .. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
 
 Installation
@@ -60,14 +52,30 @@ dependencies.
 .. _`virtualenv`: https://virtualenv.pypa.io/en/latest/
 
 
+Code samples and snippets
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Code samples and snippets live in the `samples/` folder.
+
+
 Supported Python Versions
 ^^^^^^^^^^^^^^^^^^^^^^^^^
-Python >= 3.5
+Our client libraries are compatible with all current `active`_ and `maintenance`_ versions of
+Python.
+
+Python >= 3.7
 
-Deprecated Python Versions
-^^^^^^^^^^^^^^^^^^^^^^^^^^
-Python == 2.7. Python 2.7 support will be removed on January 1, 2020.
+.. _active: https://devguide.python.org/devcycle/#in-development-main-branch
+.. _maintenance: https://devguide.python.org/devcycle/#maintenance-branches
 
+Unsupported Python Versions
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Python <= 3.6
+
+If you are using an `end-of-life`_
+version of Python, we recommend that you update as soon as possible to an actively supported version.
+
+.. _end-of-life: https://devguide.python.org/devcycle/#end-of-life-branches
 
 Mac/Linux
 ^^^^^^^^^
@@ -90,13 +98,15 @@ Windows
     <your-env>\Scripts\activate
     <your-env>\Scripts\pip.exe install google-cloud-language
 
-
 Next Steps
 ~~~~~~~~~~
 
--  Read the `Usage documentation`_ for the language client
-   to see available methods on the client.
--  Read the `Product documentation`_ to learn
+-  Read the `Client Library Documentation`_ for Natural Language API
+   to see other available methods on the client.
+-  Read the `Natural Language API Product documentation`_ to learn
    more about the product and see How-to Guides.
+-  View this `README`_ to see the full list of Cloud
+   APIs that we cover.
 
-.. _Usage documentation: https://googleapis.dev/python/language/latest
+.. _Natural Language API Product documentation:  https://cloud.google.com/natural-language/docs/
+.. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst
diff --git a/SECURITY.md b/SECURITY.md
new file mode 100644
index 00000000..8b58ae9c
--- /dev/null
+++ b/SECURITY.md
@@ -0,0 +1,7 @@
+# Security Policy
+
+To report a security issue, please use [g.co/vulnz](https://g.co/vulnz).
+
+The Google Security Team will respond within 5 working days of your report on g.co/vulnz.
+
+We use g.co/vulnz for our intake, and do coordination and disclosure here using GitHub Security Advisory to privately discuss and fix the issue.
diff --git a/docs/README.rst b/docs/README.rst
deleted file mode 120000
index 89a01069..00000000
--- a/docs/README.rst
+++ /dev/null
@@ -1 +0,0 @@
-../README.rst
\ No newline at end of file
diff --git a/docs/_static/custom.css b/docs/_static/custom.css
deleted file mode 100644
index 0abaf229..00000000
--- a/docs/_static/custom.css
+++ /dev/null
@@ -1,4 +0,0 @@
-div#python2-eol {
-	border-color: red;
-	border-width: medium;
-} 
\ No newline at end of file
diff --git a/docs/_templates/layout.html b/docs/_templates/layout.html
deleted file mode 100644
index 228529ef..00000000
--- a/docs/_templates/layout.html
+++ /dev/null
@@ -1,50 +0,0 @@
-
-{% extends "!layout.html" %}
-{%- block content %}
-{%- if theme_fixed_sidebar|lower == 'true' %}
-  <div class="document">
-    {{ sidebar() }}
-    {%- block document %}
-      <div class="documentwrapper">
-      {%- if render_sidebar %}
-        <div class="bodywrapper">
-      {%- endif %}
-
-          {%- block relbar_top %}
-            {%- if theme_show_relbar_top|tobool %}
-              <div class="related top">
-                &nbsp;
-                {{- rellink_markup () }}
-              </div>
-            {%- endif %}
-          {% endblock %}
-
-          <div class="body" role="main">
-          	<div class="admonition" id="python2-eol"> 
-          	 On January 1, 2020 this library will no longer support Python 2 on the latest released version. 
-          	 Previously released library versions will continue to be available. For more information please
-          	 visit <a href="https://cloud.google.com/python/docs/python2-sunset/">Python 2 support on Google Cloud</a>.
-          	</div>
-            {% block body %} {% endblock %}
-          </div>
-
-          {%- block relbar_bottom %}
-            {%- if theme_show_relbar_bottom|tobool %}
-              <div class="related bottom">
-                &nbsp;
-                {{- rellink_markup () }}
-              </div>
-            {%- endif %}
-          {% endblock %}
-
-      {%- if render_sidebar %}
-        </div>
-      {%- endif %}
-      </div>
-    {%- endblock %}
-    <div class="clearer"></div>
-  </div>
-{%- else %}
-{{ super() }}
-{%- endif %}
-{%- endblock %}
diff --git a/docs/api.rst b/docs/api.rst
deleted file mode 100644
index 4d714615..00000000
--- a/docs/api.rst
+++ /dev/null
@@ -1,30 +0,0 @@
-Language Client API Reference
-=============================
-
-This package includes clients for multiple versions of the Natural Language
-API. By default, you will get ``v1``, the latest GA version.
-
-.. toctree::
-  :maxdepth: 2
-
-  gapic/v1/api
-  gapic/v1/types
-
-If you are interested in beta features ahead of the latest GA, you may
-opt-in to the v1.1 beta, which is spelled ``v1beta2``. In order to do this,
-you will want to import from ``google.cloud.language_v1beta2`` in lieu of
-``google.cloud.language``.
-
-An API and type reference is provided for the v1.1 beta also:
-
-.. toctree::
-  :maxdepth: 2
-
-  gapic/v1beta2/api
-  gapic/v1beta2/types
-
-.. note::
-
-  The client for the beta API is provided on a provisional basis. The API
-  surface is subject to change, and it is possible that this client will be
-  deprecated or removed after its features become GA.
diff --git a/docs/changelog.md b/docs/changelog.md
deleted file mode 120000
index 04c99a55..00000000
--- a/docs/changelog.md
+++ /dev/null
@@ -1 +0,0 @@
-../CHANGELOG.md
\ No newline at end of file
diff --git a/docs/conf.py b/docs/conf.py
deleted file mode 100644
index 1fdbd3b5..00000000
--- a/docs/conf.py
+++ /dev/null
@@ -1,355 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# google-cloud-language documentation build configuration file
-#
-# This file is execfile()d with the current directory set to its
-# containing dir.
-#
-# Note that not all possible configuration values are present in this
-# autogenerated file.
-#
-# All configuration values have a default; values that are commented out
-# serve to show the default.
-
-import sys
-import os
-import shlex
-
-# If extensions (or modules to document with autodoc) are in another directory,
-# add these directories to sys.path here. If the directory is relative to the
-# documentation root, use os.path.abspath to make it absolute, like shown here.
-sys.path.insert(0, os.path.abspath(".."))
-
-__version__ = ""
-
-# -- General configuration ------------------------------------------------
-
-# If your documentation needs a minimal Sphinx version, state it here.
-needs_sphinx = "1.6.3"
-
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
-# ones.
-extensions = [
-    "sphinx.ext.autodoc",
-    "sphinx.ext.autosummary",
-    "sphinx.ext.intersphinx",
-    "sphinx.ext.coverage",
-    "sphinx.ext.napoleon",
-    "sphinx.ext.todo",
-    "sphinx.ext.viewcode",
-    "recommonmark",
-]
-
-# autodoc/autosummary flags
-autoclass_content = "both"
-autodoc_default_options = {"members": True}
-autosummary_generate = True
-
-
-# Add any paths that contain templates here, relative to this directory.
-templates_path = ["_templates"]
-
-# The suffix(es) of source filenames.
-# You can specify multiple suffix as a list of string:
-# source_suffix = ['.rst', '.md']
-source_suffix = [".rst", ".md"]
-
-# The encoding of source files.
-# source_encoding = 'utf-8-sig'
-
-# The master toctree document.
-master_doc = "index"
-
-# General information about the project.
-project = u"google-cloud-language"
-copyright = u"2019, Google"
-author = u"Google APIs"
-
-# The version info for the project you're documenting, acts as replacement for
-# |version| and |release|, also used in various other places throughout the
-# built documents.
-#
-# The full version, including alpha/beta/rc tags.
-release = __version__
-# The short X.Y version.
-version = ".".join(release.split(".")[0:2])
-
-# The language for content autogenerated by Sphinx. Refer to documentation
-# for a list of supported languages.
-#
-# This is also used if you do content translation via gettext catalogs.
-# Usually you set "language" from the command line for these cases.
-language = None
-
-# There are two options for replacing |today|: either, you set today to some
-# non-false value, then it is used:
-# today = ''
-# Else, today_fmt is used as the format for a strftime call.
-# today_fmt = '%B %d, %Y'
-
-# List of patterns, relative to source directory, that match files and
-# directories to ignore when looking for source files.
-exclude_patterns = ["_build"]
-
-# The reST default role (used for this markup: `text`) to use for all
-# documents.
-# default_role = None
-
-# If true, '()' will be appended to :func: etc. cross-reference text.
-# add_function_parentheses = True
-
-# If true, the current module name will be prepended to all description
-# unit titles (such as .. function::).
-# add_module_names = True
-
-# If true, sectionauthor and moduleauthor directives will be shown in the
-# output. They are ignored by default.
-# show_authors = False
-
-# The name of the Pygments (syntax highlighting) style to use.
-pygments_style = "sphinx"
-
-# A list of ignored prefixes for module index sorting.
-# modindex_common_prefix = []
-
-# If true, keep warnings as "system message" paragraphs in the built documents.
-# keep_warnings = False
-
-# If true, `todo` and `todoList` produce output, else they produce nothing.
-todo_include_todos = True
-
-
-# -- Options for HTML output ----------------------------------------------
-
-# The theme to use for HTML and HTML Help pages.  See the documentation for
-# a list of builtin themes.
-html_theme = "alabaster"
-
-# Theme options are theme-specific and customize the look and feel of a theme
-# further.  For a list of options available for each theme, see the
-# documentation.
-html_theme_options = {
-    "description": "Google Cloud Client Libraries for google-cloud-language",
-    "github_user": "googleapis",
-    "github_repo": "python-language",
-    "github_banner": True,
-    "font_family": "'Roboto', Georgia, sans",
-    "head_font_family": "'Roboto', Georgia, serif",
-    "code_font_family": "'Roboto Mono', 'Consolas', monospace",
-}
-
-# Add any paths that contain custom themes here, relative to this directory.
-# html_theme_path = []
-
-# The name for this set of Sphinx documents.  If None, it defaults to
-# "<project> v<release> documentation".
-# html_title = None
-
-# A shorter title for the navigation bar.  Default is the same as html_title.
-# html_short_title = None
-
-# The name of an image file (relative to this directory) to place at the top
-# of the sidebar.
-# html_logo = None
-
-# The name of an image file (within the static path) to use as favicon of the
-# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
-# pixels large.
-# html_favicon = None
-
-# Add any paths that contain custom static files (such as style sheets) here,
-# relative to this directory. They are copied after the builtin static files,
-# so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ["_static"]
-
-# Add any extra paths that contain custom files (such as robots.txt or
-# .htaccess) here, relative to this directory. These files are copied
-# directly to the root of the documentation.
-# html_extra_path = []
-
-# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
-# using the given strftime format.
-# html_last_updated_fmt = '%b %d, %Y'
-
-# If true, SmartyPants will be used to convert quotes and dashes to
-# typographically correct entities.
-# html_use_smartypants = True
-
-# Custom sidebar templates, maps document names to template names.
-# html_sidebars = {}
-
-# Additional templates that should be rendered to pages, maps page names to
-# template names.
-# html_additional_pages = {}
-
-# If false, no module index is generated.
-# html_domain_indices = True
-
-# If false, no index is generated.
-# html_use_index = True
-
-# If true, the index is split into individual pages for each letter.
-# html_split_index = False
-
-# If true, links to the reST sources are added to the pages.
-# html_show_sourcelink = True
-
-# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
-# html_show_sphinx = True
-
-# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
-# html_show_copyright = True
-
-# If true, an OpenSearch description file will be output, and all pages will
-# contain a <link> tag referring to it.  The value of this option must be the
-# base URL from which the finished HTML is served.
-# html_use_opensearch = ''
-
-# This is the file name suffix for HTML files (e.g. ".xhtml").
-# html_file_suffix = None
-
-# Language to be used for generating the HTML full-text search index.
-# Sphinx supports the following languages:
-#   'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja'
-#   'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr'
-# html_search_language = 'en'
-
-# A dictionary with options for the search language support, empty by default.
-# Now only 'ja' uses this config value
-# html_search_options = {'type': 'default'}
-
-# The name of a javascript file (relative to the configuration directory) that
-# implements a search results scorer. If empty, the default will be used.
-# html_search_scorer = 'scorer.js'
-
-# Output file base name for HTML help builder.
-htmlhelp_basename = "google-cloud-language-doc"
-
-# -- Options for warnings ------------------------------------------------------
-
-
-suppress_warnings = [
-    # Temporarily suppress this to avoid "more than one target found for
-    # cross-reference" warning, which are intractable for us to avoid while in
-    # a mono-repo.
-    # See https://github.com/sphinx-doc/sphinx/blob
-    # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843
-    "ref.python"
-]
-
-# -- Options for LaTeX output ---------------------------------------------
-
-latex_elements = {
-    # The paper size ('letterpaper' or 'a4paper').
-    #'papersize': 'letterpaper',
-    # The font size ('10pt', '11pt' or '12pt').
-    #'pointsize': '10pt',
-    # Additional stuff for the LaTeX preamble.
-    #'preamble': '',
-    # Latex figure (float) alignment
-    #'figure_align': 'htbp',
-}
-
-# Grouping the document tree into LaTeX files. List of tuples
-# (source start file, target name, title,
-#  author, documentclass [howto, manual, or own class]).
-latex_documents = [
-    (
-        master_doc,
-        "google-cloud-language.tex",
-        u"google-cloud-language Documentation",
-        author,
-        "manual",
-    )
-]
-
-# The name of an image file (relative to this directory) to place at the top of
-# the title page.
-# latex_logo = None
-
-# For "manual" documents, if this is true, then toplevel headings are parts,
-# not chapters.
-# latex_use_parts = False
-
-# If true, show page references after internal links.
-# latex_show_pagerefs = False
-
-# If true, show URL addresses after external links.
-# latex_show_urls = False
-
-# Documents to append as an appendix to all manuals.
-# latex_appendices = []
-
-# If false, no module index is generated.
-# latex_domain_indices = True
-
-
-# -- Options for manual page output ---------------------------------------
-
-# One entry per manual page. List of tuples
-# (source start file, name, description, authors, manual section).
-man_pages = [
-    (
-        master_doc,
-        "google-cloud-language",
-        u"google-cloud-language Documentation",
-        [author],
-        1,
-    )
-]
-
-# If true, show URL addresses after external links.
-# man_show_urls = False
-
-
-# -- Options for Texinfo output -------------------------------------------
-
-# Grouping the document tree into Texinfo files. List of tuples
-# (source start file, target name, title, author,
-#  dir menu entry, description, category)
-texinfo_documents = [
-    (
-        master_doc,
-        "google-cloud-language",
-        u"google-cloud-language Documentation",
-        author,
-        "google-cloud-language",
-        "google-cloud-language Library",
-        "APIs",
-    )
-]
-
-# Documents to append as an appendix to all manuals.
-# texinfo_appendices = []
-
-# If false, no module index is generated.
-# texinfo_domain_indices = True
-
-# How to display URL addresses: 'footnote', 'no', or 'inline'.
-# texinfo_show_urls = 'footnote'
-
-# If true, do not generate a @detailmenu in the "Top" node's menu.
-# texinfo_no_detailmenu = False
-
-
-# Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {
-    "python": ("http://python.readthedocs.org/en/latest/", None),
-    "google-auth": ("https://google-auth.readthedocs.io/en/stable", None),
-    "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None),
-    "grpc": ("https://grpc.io/grpc/python/", None),
-}
-
-
-# Napoleon settings
-napoleon_google_docstring = True
-napoleon_numpy_docstring = True
-napoleon_include_private_with_doc = False
-napoleon_include_special_with_doc = True
-napoleon_use_admonition_for_examples = False
-napoleon_use_admonition_for_notes = False
-napoleon_use_admonition_for_references = False
-napoleon_use_ivar = False
-napoleon_use_param = True
-napoleon_use_rtype = True
diff --git a/docs/gapic/v1/api.rst b/docs/gapic/v1/api.rst
deleted file mode 100644
index 2c5fd4fd..00000000
--- a/docs/gapic/v1/api.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-Natural Language Client API
-===========================
-
-.. automodule:: google.cloud.language_v1
-  :members:
-  :inherited-members:
diff --git a/docs/gapic/v1/types.rst b/docs/gapic/v1/types.rst
deleted file mode 100644
index 90d27a4b..00000000
--- a/docs/gapic/v1/types.rst
+++ /dev/null
@@ -1,5 +0,0 @@
-Natural Language Client Types
-=============================
-
-.. automodule:: google.cloud.language_v1.types
-  :members:
diff --git a/docs/gapic/v1beta2/api.rst b/docs/gapic/v1beta2/api.rst
deleted file mode 100644
index 330d7e6e..00000000
--- a/docs/gapic/v1beta2/api.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-Natural Language Beta Client API
-================================
-
-.. automodule:: google.cloud.language_v1beta2
-  :members:
-  :inherited-members:
diff --git a/docs/gapic/v1beta2/types.rst b/docs/gapic/v1beta2/types.rst
deleted file mode 100644
index d9a7eb17..00000000
--- a/docs/gapic/v1beta2/types.rst
+++ /dev/null
@@ -1,5 +0,0 @@
-Natural Language Beta Client Types
-==================================
-
-.. automodule:: google.cloud.language_v1beta2.types
-  :members:
diff --git a/docs/index.rst b/docs/index.rst
deleted file mode 100644
index 368f811d..00000000
--- a/docs/index.rst
+++ /dev/null
@@ -1,11 +0,0 @@
-.. include:: README.rst
-
-.. include:: multiprocessing.rst
-
-
-.. toctree::
-  :maxdepth: 2
-
-  usage
-  api
-  changelog
diff --git a/docs/multiprocessing.rst b/docs/multiprocessing.rst
deleted file mode 100644
index 1cb29d4c..00000000
--- a/docs/multiprocessing.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-.. note::
-
-   Because this client uses :mod:`grpcio` library, it is safe to
-   share instances across threads. In multiprocessing scenarios, the best
-   practice is to create client instances *after* the invocation of
-   :func:`os.fork` by :class:`multiprocessing.Pool` or
-   :class:`multiprocessing.Process`.
diff --git a/docs/usage.rst b/docs/usage.rst
deleted file mode 100644
index f2e45934..00000000
--- a/docs/usage.rst
+++ /dev/null
@@ -1,199 +0,0 @@
-Using the Language Client
-=========================
-
-Documents
-*********
-
-The Google Natural Language API has the following supported methods:
-
-- `analyzeEntities`_
-- `analyzeSentiment`_
-- `analyzeEntitySentiment`_
-- `annotateText`_
-- `classifyText`_
-
-and each method uses a :class:`~.language_v1.types.Document` for representing
-text.
-
-  .. code-block:: python
-
-      >>> document = language.types.Document(
-      ...     content='Google, headquartered in Mountain View, unveiled the '
-      ...             'new Android phone at the Consumer Electronic Show.  '
-      ...             'Sundar Pichai said in his keynote that users love '
-      ...             'their new Android phones.',
-      ...     language='en',
-      ...     type='PLAIN_TEXT',
-      ... )
-
-
-The document's language defaults to ``None``, which will cause the API to
-auto-detect the language.
-
-In addition, you can construct an HTML document:
-
-  .. code-block:: python
-
-      >>> html_content = """\
-      ... <html>
-      ...   <head>
-      ...     <title>El Tiempo de las Historias</time>
-      ...   </head>
-      ...   <body>
-      ...     <p>La vaca salt&oacute; sobre la luna.</p>
-      ...   </body>
-      ... </html>
-      ... """
-      >>> document = language.types.Document(
-      ...     content=html_content,
-      ...     language='es',
-      ...     type='HTML',
-      ... )
-
-The ``language`` argument can be either ISO-639-1 or BCP-47 language
-codes. The API reference page contains the full list of `supported languages`_.
-
-.. _supported languages: https://cloud.google.com/natural-language/docs/languages
-
-
-In addition to supplying the text / HTML content, a document can refer
-to content stored in `Google Cloud Storage`_.
-
-  .. code-block:: python
-
-     >>> document = language.types.Document(
-     ...     gcs_content_uri='gs://my-text-bucket/sentiment-me.txt',
-     ...     type=language.enums.HTML,
-     ... )
-
-.. _analyzeEntities: https://cloud.google.com/natural-language/docs/reference/rest/v1/documents/analyzeEntities
-.. _analyzeSentiment: https://cloud.google.com/natural-language/docs/reference/rest/v1/documents/analyzeSentiment
-.. _analyzeEntitySentiment: https://cloud.google.com/natural-language/docs/reference/rest/v1/documents/analyzeEntitySentiment
-.. _annotateText: https://cloud.google.com/natural-language/docs/reference/rest/v1/documents/annotateText
-.. _classifyText: https://cloud.google.com/natural-language/docs/reference/rest/v1/documents/classifyText
-.. _Google Cloud Storage: https://cloud.google.com/storage/
-
-Analyze Entities
-****************
-
-The :meth:`~.language_v1.LanguageServiceClient.analyze_entities`
-method finds named entities (i.e. proper names) in the text. This method
-returns a :class:`~.language_v1.types.AnalyzeEntitiesResponse`.
-
-  .. code-block:: python
-
-     >>> document = language.types.Document(
-     ...     content='Michelangelo Caravaggio, Italian painter, is '
-     ...             'known for "The Calling of Saint Matthew".',
-     ...     type=language.enums.Document.Type.PLAIN_TEXT,
-     ... )
-     >>> response = client.analyze_entities(
-     ...     document=document,
-     ...     encoding_type='UTF32',
-     ... )
-     >>> for entity in response.entities:
-     ...     print('=' * 20)
-     ...     print('         name: {0}'.format(entity.name))
-     ...     print('         type: {0}'.format(entity.type))
-     ...     print('     metadata: {0}'.format(entity.metadata))
-     ...     print('     salience: {0}'.format(entity.salience))
-     ====================
-              name: Michelangelo Caravaggio
-              type: PERSON
-          metadata: {'wikipedia_url': 'https://en.wikipedia.org/wiki/Caravaggio'}
-          salience: 0.7615959
-     ====================
-              name: Italian
-              type: LOCATION
-          metadata: {'wikipedia_url': 'https://en.wikipedia.org/wiki/Italy'}
-          salience: 0.19960518
-     ====================
-              name: The Calling of Saint Matthew
-              type: EVENT
-          metadata: {'wikipedia_url': 'https://en.wikipedia.org/wiki/The_Calling_of_St_Matthew_(Caravaggio)'}
-          salience: 0.038798928
-
-.. note::
-
-  It is recommended to send an ``encoding_type`` argument to Natural
-  Language methods, so they provide useful offsets for the data they return.
-  While the correct value varies by environment, in Python you *usually*
-  want ``UTF32``.
-
-
-Analyze Sentiment
-*****************
-
-The :meth:`~.language_v1.LanguageServiceClient.analyze_sentiment` method
-analyzes the sentiment of the provided text. This method returns a
-:class:`~.language_v1.types.AnalyzeSentimentResponse`.
-
-  .. code-block:: python
-
-     >>> document = language.types.Document(
-     ...     content='Jogging is not very fun.',
-     ...     type='PLAIN_TEXT',
-     ... )
-     >>> response = client.analyze_sentiment(
-     ...     document=document,
-     ...     encoding_type='UTF32',
-     ... )
-     >>> sentiment = response.document_sentiment
-     >>> print(sentiment.score)
-     -1
-     >>> print(sentiment.magnitude)
-     0.8
-
-.. note::
-
-  It is recommended to send an ``encoding_type`` argument to Natural
-  Language methods, so they provide useful offsets for the data they return.
-  While the correct value varies by environment, in Python you *usually*
-  want ``UTF32``.
-
-
-Analyze Entity Sentiment
-************************
-
-The :meth:`~.language_v1.LanguageServiceClient.analyze_entity_sentiment`
-method is effectively the amalgamation of
-:meth:`~.language_v1.LanguageServiceClient.analyze_entities` and
-:meth:`~.language_v1.LanguageServiceClient.analyze_sentiment`.
-This method returns a
-:class:`~.language_v1.types.AnalyzeEntitySentimentResponse`.
-
-.. code-block:: python
-
-    >>> document = language.types.Document(
-    ...     content='Mona said that jogging is very fun.',
-    ...     type='PLAIN_TEXT',
-    ... )
-    >>> response = client.analyze_entity_sentiment(
-    ...     document=document,
-    ...     encoding_type='UTF32',
-    ... )
-    >>> entities = response.entities
-    >>> entities[0].name
-    'Mona'
-    >>> entities[1].name
-    'jogging'
-    >>> entities[1].sentiment.magnitude
-    0.8
-    >>> entities[1].sentiment.score
-    0.8
-
-.. note::
-
-    It is recommended to send an ``encoding_type`` argument to Natural
-    Language methods, so they provide useful offsets for the data they return.
-    While the correct value varies by environment, in Python you *usually*
-    want ``UTF32``.
-
-
-Annotate Text
-*************
-
-The :meth:`~.language_v1.LanguageServiceClient.annotate_text` method
-analyzes a document and is intended for users who are familiar with
-machine learning and need in-depth text features to build upon. This method
-returns a :class:`~.language_v1.types.AnnotateTextResponse`.
diff --git a/google/__init__.py b/google/__init__.py
deleted file mode 100644
index 0e1bc513..00000000
--- a/google/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# Copyright 2016 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-try:
-    import pkg_resources
-
-    pkg_resources.declare_namespace(__name__)
-except ImportError:
-    import pkgutil
-
-    __path__ = pkgutil.extend_path(__path__, __name__)
diff --git a/google/cloud/__init__.py b/google/cloud/__init__.py
deleted file mode 100644
index 0e1bc513..00000000
--- a/google/cloud/__init__.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# Copyright 2016 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-try:
-    import pkg_resources
-
-    pkg_resources.declare_namespace(__name__)
-except ImportError:
-    import pkgutil
-
-    __path__ = pkgutil.extend_path(__path__, __name__)
diff --git a/google/cloud/language.py b/google/cloud/language.py
deleted file mode 100644
index 624bd119..00000000
--- a/google/cloud/language.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright 2017, Google LLC All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import absolute_import
-
-from google.cloud.language_v1 import LanguageServiceClient
-from google.cloud.language_v1 import enums
-from google.cloud.language_v1 import types
-
-__all__ = ("enums", "types", "LanguageServiceClient")
diff --git a/google/cloud/language_v1/__init__.py b/google/cloud/language_v1/__init__.py
deleted file mode 100644
index a44fe4c9..00000000
--- a/google/cloud/language_v1/__init__.py
+++ /dev/null
@@ -1,27 +0,0 @@
-# Copyright 2017, Google LLC All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import absolute_import
-
-from google.cloud.language_v1 import types
-from google.cloud.language_v1.gapic import enums
-from google.cloud.language_v1.gapic import language_service_client
-
-
-class LanguageServiceClient(language_service_client.LanguageServiceClient):
-    __doc__ = language_service_client.LanguageServiceClient.__doc__
-    enums = enums
-
-
-__all__ = ("enums", "types", "LanguageServiceClient")
diff --git a/google/cloud/language_v1/gapic/__init__.py b/google/cloud/language_v1/gapic/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/google/cloud/language_v1/gapic/enums.py b/google/cloud/language_v1/gapic/enums.py
deleted file mode 100644
index 28fefea5..00000000
--- a/google/cloud/language_v1/gapic/enums.py
+++ /dev/null
@@ -1,593 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Wrappers for protocol buffer enum types."""
-
-import enum
-
-
-class EncodingType(enum.IntEnum):
-    """
-    Represents the text encoding that the caller uses to process the
-    output. Providing an ``EncodingType`` is recommended because the API
-    provides the beginning offsets for various outputs, such as tokens and
-    mentions, and languages that natively use different text encodings may
-    access offsets differently.
-
-    Attributes:
-      NONE (int): If ``EncodingType`` is not specified, encoding-dependent information
-      (such as ``begin_offset``) will be set at ``-1``.
-      UTF8 (int): Encoding-dependent information (such as ``begin_offset``) is
-      calculated based on the UTF-8 encoding of the input. C++ and Go are
-      examples of languages that use this encoding natively.
-      UTF16 (int): Encoding-dependent information (such as ``begin_offset``) is
-      calculated based on the UTF-16 encoding of the input. Java and
-      JavaScript are examples of languages that use this encoding natively.
-      UTF32 (int): Encoding-dependent information (such as ``begin_offset``) is
-      calculated based on the UTF-32 encoding of the input. Python is an
-      example of a language that uses this encoding natively.
-    """
-
-    NONE = 0
-    UTF8 = 1
-    UTF16 = 2
-    UTF32 = 3
-
-
-class DependencyEdge(object):
-    class Label(enum.IntEnum):
-        """
-        The parse label enum for the token.
-
-        Attributes:
-          UNKNOWN (int): Unknown
-          ABBREV (int): Abbreviation modifier
-          ACOMP (int): Adjectival complement
-          ADVCL (int): Adverbial clause modifier
-          ADVMOD (int): Adverbial modifier
-          AMOD (int): Adjectival modifier of an NP
-          APPOS (int): Appositional modifier of an NP
-          ATTR (int): Attribute dependent of a copular verb
-          AUX (int): Auxiliary (non-main) verb
-          AUXPASS (int): Passive auxiliary
-          CC (int): Coordinating conjunction
-          CCOMP (int): Clausal complement of a verb or adjective
-          CONJ (int): Conjunct
-          CSUBJ (int): Clausal subject
-          CSUBJPASS (int): Clausal passive subject
-          DEP (int): Dependency (unable to determine)
-          DET (int): Determiner
-          DISCOURSE (int): Discourse
-          DOBJ (int): Direct object
-          EXPL (int): Expletive
-          GOESWITH (int): Goes with (part of a word in a text not well edited)
-          IOBJ (int): Indirect object
-          MARK (int): Marker (word introducing a subordinate clause)
-          MWE (int): Multi-word expression
-          MWV (int): Multi-word verbal expression
-          NEG (int): Negation modifier
-          NN (int): Noun compound modifier
-          NPADVMOD (int): Noun phrase used as an adverbial modifier
-          NSUBJ (int): Nominal subject
-          NSUBJPASS (int): Passive nominal subject
-          NUM (int): Numeric modifier of a noun
-          NUMBER (int): Element of compound number
-          P (int): Punctuation mark
-          PARATAXIS (int): Parataxis relation
-          PARTMOD (int): Participial modifier
-          PCOMP (int): The complement of a preposition is a clause
-          POBJ (int): Object of a preposition
-          POSS (int): Possession modifier
-          POSTNEG (int): Postverbal negative particle
-          PRECOMP (int): Predicate complement
-          PRECONJ (int): Preconjunt
-          PREDET (int): Predeterminer
-          PREF (int): Prefix
-          PREP (int): Prepositional modifier
-          PRONL (int): The relationship between a verb and verbal morpheme
-          PRT (int): Particle
-          PS (int): Associative or possessive marker
-          QUANTMOD (int): Quantifier phrase modifier
-          RCMOD (int): Relative clause modifier
-          RCMODREL (int): Complementizer in relative clause
-          RDROP (int): Ellipsis without a preceding predicate
-          REF (int): Referent
-          REMNANT (int): Remnant
-          REPARANDUM (int): Reparandum
-          ROOT (int): Root
-          SNUM (int): Suffix specifying a unit of number
-          SUFF (int): Suffix
-          TMOD (int): Temporal modifier
-          TOPIC (int): Topic marker
-          VMOD (int): Clause headed by an infinite form of the verb that modifies a noun
-          VOCATIVE (int): Vocative
-          XCOMP (int): Open clausal complement
-          SUFFIX (int): Name suffix
-          TITLE (int): Name title
-          ADVPHMOD (int): Adverbial phrase modifier
-          AUXCAUS (int): Causative auxiliary
-          AUXVV (int): Helper auxiliary
-          DTMOD (int): Rentaishi (Prenominal modifier)
-          FOREIGN (int): Foreign words
-          KW (int): Keyword
-          LIST (int): List for chains of comparable items
-          NOMC (int): Nominalized clause
-          NOMCSUBJ (int): Nominalized clausal subject
-          NOMCSUBJPASS (int): Nominalized clausal passive
-          NUMC (int): Compound of numeric modifier
-          COP (int): Copula
-          DISLOCATED (int): Dislocated relation (for fronted/topicalized elements)
-          ASP (int): Aspect marker
-          GMOD (int): Genitive modifier
-          GOBJ (int): Genitive object
-          INFMOD (int): Infinitival modifier
-          MES (int): Measure
-          NCOMP (int): Nominal complement of a noun
-        """
-
-        UNKNOWN = 0
-        ABBREV = 1
-        ACOMP = 2
-        ADVCL = 3
-        ADVMOD = 4
-        AMOD = 5
-        APPOS = 6
-        ATTR = 7
-        AUX = 8
-        AUXPASS = 9
-        CC = 10
-        CCOMP = 11
-        CONJ = 12
-        CSUBJ = 13
-        CSUBJPASS = 14
-        DEP = 15
-        DET = 16
-        DISCOURSE = 17
-        DOBJ = 18
-        EXPL = 19
-        GOESWITH = 20
-        IOBJ = 21
-        MARK = 22
-        MWE = 23
-        MWV = 24
-        NEG = 25
-        NN = 26
-        NPADVMOD = 27
-        NSUBJ = 28
-        NSUBJPASS = 29
-        NUM = 30
-        NUMBER = 31
-        P = 32
-        PARATAXIS = 33
-        PARTMOD = 34
-        PCOMP = 35
-        POBJ = 36
-        POSS = 37
-        POSTNEG = 38
-        PRECOMP = 39
-        PRECONJ = 40
-        PREDET = 41
-        PREF = 42
-        PREP = 43
-        PRONL = 44
-        PRT = 45
-        PS = 46
-        QUANTMOD = 47
-        RCMOD = 48
-        RCMODREL = 49
-        RDROP = 50
-        REF = 51
-        REMNANT = 52
-        REPARANDUM = 53
-        ROOT = 54
-        SNUM = 55
-        SUFF = 56
-        TMOD = 57
-        TOPIC = 58
-        VMOD = 59
-        VOCATIVE = 60
-        XCOMP = 61
-        SUFFIX = 62
-        TITLE = 63
-        ADVPHMOD = 64
-        AUXCAUS = 65
-        AUXVV = 66
-        DTMOD = 67
-        FOREIGN = 68
-        KW = 69
-        LIST = 70
-        NOMC = 71
-        NOMCSUBJ = 72
-        NOMCSUBJPASS = 73
-        NUMC = 74
-        COP = 75
-        DISLOCATED = 76
-        ASP = 77
-        GMOD = 78
-        GOBJ = 79
-        INFMOD = 80
-        MES = 81
-        NCOMP = 82
-
-
-class Document(object):
-    class Type(enum.IntEnum):
-        """
-        The document types enum.
-
-        Attributes:
-          TYPE_UNSPECIFIED (int): The content type is not specified.
-          PLAIN_TEXT (int): Plain text
-          HTML (int): HTML
-        """
-
-        TYPE_UNSPECIFIED = 0
-        PLAIN_TEXT = 1
-        HTML = 2
-
-
-class Entity(object):
-    class Type(enum.IntEnum):
-        """
-        The type of the entity. For most entity types, the associated
-        metadata is a Wikipedia URL (``wikipedia_url``) and Knowledge Graph MID
-        (``mid``). The table below lists the associated fields for entities that
-        have different metadata.
-
-        Attributes:
-          UNKNOWN (int): Unknown
-          PERSON (int): Person
-          LOCATION (int): Location
-          ORGANIZATION (int): Organization
-          EVENT (int): Event
-          WORK_OF_ART (int): Artwork
-          CONSUMER_GOOD (int): Consumer product
-          OTHER (int): Other types of entities
-          PHONE_NUMBER (int): Phone number The metadata lists the phone number, formatted
-          according to local convention, plus whichever additional elements appear
-          in the text:
-
-          .. raw:: html
-
-              <li><code>number</code> &ndash; the actual number, broken down into
-              sections as per local convention</li> <li><code>national_prefix</code>
-              &ndash; country code, if detected</li> <li><code>area_code</code> &ndash;
-              region or area code, if detected</li> <li><code>extension</code> &ndash;
-              phone extension (to be dialed after connection), if detected</li></ul>
-          ADDRESS (int): Address The metadata identifies the street number and locality plus
-          whichever additional elements appear in the text:
-
-          .. raw:: html
-
-              <li><code>street_number</code> &ndash; street number</li>
-              <li><code>locality</code> &ndash; city or town</li>
-              <li><code>street_name</code> &ndash; street/route name, if detected</li>
-              <li><code>postal_code</code> &ndash; postal code, if detected</li>
-              <li><code>country</code> &ndash; country, if detected</li>
-              <li><code>broad_region</code> &ndash; administrative area, such as the
-              state, if detected</li> <li><code>narrow_region</code> &ndash; smaller
-              administrative area, such as county, if detected</li>
-              <li><code>sublocality</code> &ndash; used in Asian addresses to demark a
-              district within a city, if detected</li></ul>
-          DATE (int): Date<br><br>
-          The metadata identifies the components of the date:<ul>
-          <li><code>year</code> &ndash; four digit year, if detected</li>
-          <li><code>month</code> &ndash; two digit month number, if detected</li>
-          <li><code>day</code> &ndash; two digit day number, if detected</li></ul>
-          NUMBER (int): Number<br><br>
-          The metadata is the number itself.
-          PRICE (int): Price<br><br>
-          The metadata identifies the <code>value</code> and <code>currency</code>.
-        """
-
-        UNKNOWN = 0
-        PERSON = 1
-        LOCATION = 2
-        ORGANIZATION = 3
-        EVENT = 4
-        WORK_OF_ART = 5
-        CONSUMER_GOOD = 6
-        OTHER = 7
-        PHONE_NUMBER = 9
-        ADDRESS = 10
-        DATE = 11
-        NUMBER = 12
-        PRICE = 13
-
-
-class EntityMention(object):
-    class Type(enum.IntEnum):
-        """
-        The supported types of mentions.
-
-        Attributes:
-          TYPE_UNKNOWN (int): Unknown
-          PROPER (int): Proper name
-          COMMON (int): Common noun (or noun compound)
-        """
-
-        TYPE_UNKNOWN = 0
-        PROPER = 1
-        COMMON = 2
-
-
-class PartOfSpeech(object):
-    class Aspect(enum.IntEnum):
-        """
-        The characteristic of a verb that expresses time flow during an event.
-
-        Attributes:
-          ASPECT_UNKNOWN (int): Aspect is not applicable in the analyzed language or is not predicted.
-          PERFECTIVE (int): Perfective
-          IMPERFECTIVE (int): Imperfective
-          PROGRESSIVE (int): Progressive
-        """
-
-        ASPECT_UNKNOWN = 0
-        PERFECTIVE = 1
-        IMPERFECTIVE = 2
-        PROGRESSIVE = 3
-
-    class Case(enum.IntEnum):
-        """
-        The grammatical function performed by a noun or pronoun in a phrase,
-        clause, or sentence. In some languages, other parts of speech, such as
-        adjective and determiner, take case inflection in agreement with the noun.
-
-        Attributes:
-          CASE_UNKNOWN (int): Case is not applicable in the analyzed language or is not predicted.
-          ACCUSATIVE (int): Accusative
-          ADVERBIAL (int): Adverbial
-          COMPLEMENTIVE (int): Complementive
-          DATIVE (int): Dative
-          GENITIVE (int): Genitive
-          INSTRUMENTAL (int): Instrumental
-          LOCATIVE (int): Locative
-          NOMINATIVE (int): Nominative
-          OBLIQUE (int): Oblique
-          PARTITIVE (int): Partitive
-          PREPOSITIONAL (int): Prepositional
-          REFLEXIVE_CASE (int): Reflexive
-          RELATIVE_CASE (int): Relative
-          VOCATIVE (int): Vocative
-        """
-
-        CASE_UNKNOWN = 0
-        ACCUSATIVE = 1
-        ADVERBIAL = 2
-        COMPLEMENTIVE = 3
-        DATIVE = 4
-        GENITIVE = 5
-        INSTRUMENTAL = 6
-        LOCATIVE = 7
-        NOMINATIVE = 8
-        OBLIQUE = 9
-        PARTITIVE = 10
-        PREPOSITIONAL = 11
-        REFLEXIVE_CASE = 12
-        RELATIVE_CASE = 13
-        VOCATIVE = 14
-
-    class Form(enum.IntEnum):
-        """
-        Depending on the language, Form can be categorizing different forms of
-        verbs, adjectives, adverbs, etc. For example, categorizing inflected
-        endings of verbs and adjectives or distinguishing between short and long
-        forms of adjectives and participles
-
-        Attributes:
-          FORM_UNKNOWN (int): Form is not applicable in the analyzed language or is not predicted.
-          ADNOMIAL (int): Adnomial
-          AUXILIARY (int): Auxiliary
-          COMPLEMENTIZER (int): Complementizer
-          FINAL_ENDING (int): Final ending
-          GERUND (int): Gerund
-          REALIS (int): Realis
-          IRREALIS (int): Irrealis
-          SHORT (int): Short form
-          LONG (int): Long form
-          ORDER (int): Order form
-          SPECIFIC (int): Specific form
-        """
-
-        FORM_UNKNOWN = 0
-        ADNOMIAL = 1
-        AUXILIARY = 2
-        COMPLEMENTIZER = 3
-        FINAL_ENDING = 4
-        GERUND = 5
-        REALIS = 6
-        IRREALIS = 7
-        SHORT = 8
-        LONG = 9
-        ORDER = 10
-        SPECIFIC = 11
-
-    class Gender(enum.IntEnum):
-        """
-        Gender classes of nouns reflected in the behaviour of associated words.
-
-        Attributes:
-          GENDER_UNKNOWN (int): Gender is not applicable in the analyzed language or is not predicted.
-          FEMININE (int): Feminine
-          MASCULINE (int): Masculine
-          NEUTER (int): Neuter
-        """
-
-        GENDER_UNKNOWN = 0
-        FEMININE = 1
-        MASCULINE = 2
-        NEUTER = 3
-
-    class Mood(enum.IntEnum):
-        """
-        The grammatical feature of verbs, used for showing modality and attitude.
-
-        Attributes:
-          MOOD_UNKNOWN (int): Mood is not applicable in the analyzed language or is not predicted.
-          CONDITIONAL_MOOD (int): Conditional
-          IMPERATIVE (int): Imperative
-          INDICATIVE (int): Indicative
-          INTERROGATIVE (int): Interrogative
-          JUSSIVE (int): Jussive
-          SUBJUNCTIVE (int): Subjunctive
-        """
-
-        MOOD_UNKNOWN = 0
-        CONDITIONAL_MOOD = 1
-        IMPERATIVE = 2
-        INDICATIVE = 3
-        INTERROGATIVE = 4
-        JUSSIVE = 5
-        SUBJUNCTIVE = 6
-
-    class Number(enum.IntEnum):
-        """
-        Count distinctions.
-
-        Attributes:
-          NUMBER_UNKNOWN (int): Number is not applicable in the analyzed language or is not predicted.
-          SINGULAR (int): Singular
-          PLURAL (int): Plural
-          DUAL (int): Dual
-        """
-
-        NUMBER_UNKNOWN = 0
-        SINGULAR = 1
-        PLURAL = 2
-        DUAL = 3
-
-    class Person(enum.IntEnum):
-        """
-        The distinction between the speaker, second person, third person, etc.
-
-        Attributes:
-          PERSON_UNKNOWN (int): Person is not applicable in the analyzed language or is not predicted.
-          FIRST (int): First
-          SECOND (int): Second
-          THIRD (int): Third
-          REFLEXIVE_PERSON (int): Reflexive
-        """
-
-        PERSON_UNKNOWN = 0
-        FIRST = 1
-        SECOND = 2
-        THIRD = 3
-        REFLEXIVE_PERSON = 4
-
-    class Proper(enum.IntEnum):
-        """
-        This category shows if the token is part of a proper name.
-
-        Attributes:
-          PROPER_UNKNOWN (int): Proper is not applicable in the analyzed language or is not predicted.
-          PROPER (int): Proper
-          NOT_PROPER (int): Not proper
-        """
-
-        PROPER_UNKNOWN = 0
-        PROPER = 1
-        NOT_PROPER = 2
-
-    class Reciprocity(enum.IntEnum):
-        """
-        Reciprocal features of a pronoun.
-
-        Attributes:
-          RECIPROCITY_UNKNOWN (int): Reciprocity is not applicable in the analyzed language or is not
-          predicted.
-          RECIPROCAL (int): Reciprocal
-          NON_RECIPROCAL (int): Non-reciprocal
-        """
-
-        RECIPROCITY_UNKNOWN = 0
-        RECIPROCAL = 1
-        NON_RECIPROCAL = 2
-
-    class Tag(enum.IntEnum):
-        """
-        The part of speech tags enum.
-
-        Attributes:
-          UNKNOWN (int): Unknown
-          ADJ (int): Adjective
-          ADP (int): Adposition (preposition and postposition)
-          ADV (int): Adverb
-          CONJ (int): Conjunction
-          DET (int): Determiner
-          NOUN (int): Noun (common and proper)
-          NUM (int): Cardinal number
-          PRON (int): Pronoun
-          PRT (int): Particle or other function word
-          PUNCT (int): Punctuation
-          VERB (int): Verb (all tenses and modes)
-          X (int): Other: foreign words, typos, abbreviations
-          AFFIX (int): Affix
-        """
-
-        UNKNOWN = 0
-        ADJ = 1
-        ADP = 2
-        ADV = 3
-        CONJ = 4
-        DET = 5
-        NOUN = 6
-        NUM = 7
-        PRON = 8
-        PRT = 9
-        PUNCT = 10
-        VERB = 11
-        X = 12
-        AFFIX = 13
-
-    class Tense(enum.IntEnum):
-        """
-        Time reference.
-
-        Attributes:
-          TENSE_UNKNOWN (int): Tense is not applicable in the analyzed language or is not predicted.
-          CONDITIONAL_TENSE (int): Conditional
-          FUTURE (int): Future
-          PAST (int): Past
-          PRESENT (int): Present
-          IMPERFECT (int): Imperfect
-          PLUPERFECT (int): Pluperfect
-        """
-
-        TENSE_UNKNOWN = 0
-        CONDITIONAL_TENSE = 1
-        FUTURE = 2
-        PAST = 3
-        PRESENT = 4
-        IMPERFECT = 5
-        PLUPERFECT = 6
-
-    class Voice(enum.IntEnum):
-        """
-        The relationship between the action that a verb expresses and the
-        participants identified by its arguments.
-
-        Attributes:
-          VOICE_UNKNOWN (int): Voice is not applicable in the analyzed language or is not predicted.
-          ACTIVE (int): Active
-          CAUSATIVE (int): Causative
-          PASSIVE (int): Passive
-        """
-
-        VOICE_UNKNOWN = 0
-        ACTIVE = 1
-        CAUSATIVE = 2
-        PASSIVE = 3
diff --git a/google/cloud/language_v1/gapic/language_service_client.py b/google/cloud/language_v1/gapic/language_service_client.py
deleted file mode 100644
index 4dba1b05..00000000
--- a/google/cloud/language_v1/gapic/language_service_client.py
+++ /dev/null
@@ -1,578 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Accesses the google.cloud.language.v1 LanguageService API."""
-
-import pkg_resources
-import warnings
-
-from google.oauth2 import service_account
-import google.api_core.client_options
-import google.api_core.gapic_v1.client_info
-import google.api_core.gapic_v1.config
-import google.api_core.gapic_v1.method
-import google.api_core.grpc_helpers
-import grpc
-
-from google.cloud.language_v1.gapic import enums
-from google.cloud.language_v1.gapic import language_service_client_config
-from google.cloud.language_v1.gapic.transports import language_service_grpc_transport
-from google.cloud.language_v1.proto import language_service_pb2
-from google.cloud.language_v1.proto import language_service_pb2_grpc
-
-
-_GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution("google-cloud-language").version
-
-
-class LanguageServiceClient(object):
-    """
-    Provides text analysis operations such as sentiment analysis and entity
-    recognition.
-    """
-
-    SERVICE_ADDRESS = "language.googleapis.com:443"
-    """The default address of the service."""
-
-    # The name of the interface for this client. This is the key used to
-    # find the method configuration in the client_config dictionary.
-    _INTERFACE_NAME = "google.cloud.language.v1.LanguageService"
-
-    @classmethod
-    def from_service_account_file(cls, filename, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-        file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            LanguageServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    def __init__(
-        self,
-        transport=None,
-        channel=None,
-        credentials=None,
-        client_config=None,
-        client_info=None,
-        client_options=None,
-    ):
-        """Constructor.
-
-        Args:
-            transport (Union[~.LanguageServiceGrpcTransport,
-                    Callable[[~.Credentials, type], ~.LanguageServiceGrpcTransport]): A transport
-                instance, responsible for actually making the API calls.
-                The default transport uses the gRPC protocol.
-                This argument may also be a callable which returns a
-                transport instance. Callables will be sent the credentials
-                as the first argument and the default transport class as
-                the second argument.
-            channel (grpc.Channel): DEPRECATED. A ``Channel`` instance
-                through which to make calls. This argument is mutually exclusive
-                with ``credentials``; providing both will raise an exception.
-            credentials (google.auth.credentials.Credentials): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is mutually exclusive with providing a
-                transport instance to ``transport``; doing so will raise
-                an exception.
-            client_config (dict): DEPRECATED. A dictionary of call options for
-                each method. If not specified, the default configuration is used.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            client_options (Union[dict, google.api_core.client_options.ClientOptions]):
-                Client options used to set user options on the client. API Endpoint
-                should be set through client_options.
-        """
-        # Raise deprecation warnings for things we want to go away.
-        if client_config is not None:
-            warnings.warn(
-                "The `client_config` argument is deprecated.",
-                PendingDeprecationWarning,
-                stacklevel=2,
-            )
-        else:
-            client_config = language_service_client_config.config
-
-        if channel:
-            warnings.warn(
-                "The `channel` argument is deprecated; use " "`transport` instead.",
-                PendingDeprecationWarning,
-                stacklevel=2,
-            )
-
-        api_endpoint = self.SERVICE_ADDRESS
-        if client_options:
-            if type(client_options) == dict:
-                client_options = google.api_core.client_options.from_dict(
-                    client_options
-                )
-            if client_options.api_endpoint:
-                api_endpoint = client_options.api_endpoint
-
-        # Instantiate the transport.
-        # The transport is responsible for handling serialization and
-        # deserialization and actually sending data to the service.
-        if transport:
-            if callable(transport):
-                self.transport = transport(
-                    credentials=credentials,
-                    default_class=language_service_grpc_transport.LanguageServiceGrpcTransport,
-                    address=api_endpoint,
-                )
-            else:
-                if credentials:
-                    raise ValueError(
-                        "Received both a transport instance and "
-                        "credentials; these are mutually exclusive."
-                    )
-                self.transport = transport
-        else:
-            self.transport = language_service_grpc_transport.LanguageServiceGrpcTransport(
-                address=api_endpoint, channel=channel, credentials=credentials
-            )
-
-        if client_info is None:
-            client_info = google.api_core.gapic_v1.client_info.ClientInfo(
-                gapic_version=_GAPIC_LIBRARY_VERSION
-            )
-        else:
-            client_info.gapic_version = _GAPIC_LIBRARY_VERSION
-        self._client_info = client_info
-
-        # Parse out the default settings for retry and timeout for each RPC
-        # from the client configuration.
-        # (Ordinarily, these are the defaults specified in the `*_config.py`
-        # file next to this one.)
-        self._method_configs = google.api_core.gapic_v1.config.parse_method_configs(
-            client_config["interfaces"][self._INTERFACE_NAME]
-        )
-
-        # Save a dictionary of cached API call functions.
-        # These are the actual callables which invoke the proper
-        # transport methods, wrapped with `wrap_method` to add retry,
-        # timeout, and the like.
-        self._inner_api_calls = {}
-
-    # Service calls
-    def analyze_sentiment(
-        self,
-        document,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Analyzes the sentiment of the provided text.
-
-        Example:
-            >>> from google.cloud import language_v1
-            >>>
-            >>> client = language_v1.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.analyze_sentiment(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1.types.Document]): Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1.types.Document`
-            encoding_type (~google.cloud.language_v1.enums.EncodingType): The encoding type used by the API to calculate sentence offsets.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1.types.AnalyzeSentimentResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "analyze_sentiment" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "analyze_sentiment"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.analyze_sentiment,
-                default_retry=self._method_configs["AnalyzeSentiment"].retry,
-                default_timeout=self._method_configs["AnalyzeSentiment"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnalyzeSentimentRequest(
-            document=document, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["analyze_sentiment"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def analyze_entities(
-        self,
-        document,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Finds named entities (currently proper names and common nouns) in the text
-        along with entity types, salience, mentions for each entity, and
-        other properties.
-
-        Example:
-            >>> from google.cloud import language_v1
-            >>>
-            >>> client = language_v1.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.analyze_entities(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1.types.Document]): Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1.types.Document`
-            encoding_type (~google.cloud.language_v1.enums.EncodingType): The encoding type used by the API to calculate offsets.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1.types.AnalyzeEntitiesResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "analyze_entities" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "analyze_entities"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.analyze_entities,
-                default_retry=self._method_configs["AnalyzeEntities"].retry,
-                default_timeout=self._method_configs["AnalyzeEntities"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnalyzeEntitiesRequest(
-            document=document, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["analyze_entities"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def analyze_entity_sentiment(
-        self,
-        document,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Finds entities, similar to ``AnalyzeEntities`` in the text and
-        analyzes sentiment associated with each entity and its mentions.
-
-        Example:
-            >>> from google.cloud import language_v1
-            >>>
-            >>> client = language_v1.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.analyze_entity_sentiment(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1.types.Document]): Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1.types.Document`
-            encoding_type (~google.cloud.language_v1.enums.EncodingType): The encoding type used by the API to calculate offsets.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1.types.AnalyzeEntitySentimentResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "analyze_entity_sentiment" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "analyze_entity_sentiment"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.analyze_entity_sentiment,
-                default_retry=self._method_configs["AnalyzeEntitySentiment"].retry,
-                default_timeout=self._method_configs["AnalyzeEntitySentiment"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnalyzeEntitySentimentRequest(
-            document=document, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["analyze_entity_sentiment"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def analyze_syntax(
-        self,
-        document,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Analyzes the syntax of the text and provides sentence boundaries and
-        tokenization along with part of speech tags, dependency trees, and other
-        properties.
-
-        Example:
-            >>> from google.cloud import language_v1
-            >>>
-            >>> client = language_v1.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.analyze_syntax(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1.types.Document]): Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1.types.Document`
-            encoding_type (~google.cloud.language_v1.enums.EncodingType): The encoding type used by the API to calculate offsets.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1.types.AnalyzeSyntaxResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "analyze_syntax" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "analyze_syntax"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.analyze_syntax,
-                default_retry=self._method_configs["AnalyzeSyntax"].retry,
-                default_timeout=self._method_configs["AnalyzeSyntax"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnalyzeSyntaxRequest(
-            document=document, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["analyze_syntax"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def classify_text(
-        self,
-        document,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Classifies a document into categories.
-
-        Example:
-            >>> from google.cloud import language_v1
-            >>>
-            >>> client = language_v1.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.classify_text(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1.types.Document]): Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1.types.Document`
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1.types.ClassifyTextResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "classify_text" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "classify_text"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.classify_text,
-                default_retry=self._method_configs["ClassifyText"].retry,
-                default_timeout=self._method_configs["ClassifyText"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.ClassifyTextRequest(document=document)
-        return self._inner_api_calls["classify_text"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def annotate_text(
-        self,
-        document,
-        features,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        A convenience method that provides all the features that analyzeSentiment,
-        analyzeEntities, and analyzeSyntax provide in one call.
-
-        Example:
-            >>> from google.cloud import language_v1
-            >>>
-            >>> client = language_v1.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> # TODO: Initialize `features`:
-            >>> features = {}
-            >>>
-            >>> response = client.annotate_text(document, features)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1.types.Document]): Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1.types.Document`
-            features (Union[dict, ~google.cloud.language_v1.types.Features]): The enabled features.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1.types.Features`
-            encoding_type (~google.cloud.language_v1.enums.EncodingType): The encoding type used by the API to calculate offsets.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1.types.AnnotateTextResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "annotate_text" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "annotate_text"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.annotate_text,
-                default_retry=self._method_configs["AnnotateText"].retry,
-                default_timeout=self._method_configs["AnnotateText"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnnotateTextRequest(
-            document=document, features=features, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["annotate_text"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
diff --git a/google/cloud/language_v1/gapic/language_service_client_config.py b/google/cloud/language_v1/gapic/language_service_client_config.py
deleted file mode 100644
index 061d053e..00000000
--- a/google/cloud/language_v1/gapic/language_service_client_config.py
+++ /dev/null
@@ -1,53 +0,0 @@
-config = {
-    "interfaces": {
-        "google.cloud.language.v1.LanguageService": {
-            "retry_codes": {
-                "idempotent": ["DEADLINE_EXCEEDED", "UNAVAILABLE"],
-                "non_idempotent": [],
-            },
-            "retry_params": {
-                "default": {
-                    "initial_retry_delay_millis": 100,
-                    "retry_delay_multiplier": 1.3,
-                    "max_retry_delay_millis": 60000,
-                    "initial_rpc_timeout_millis": 20000,
-                    "rpc_timeout_multiplier": 1.0,
-                    "max_rpc_timeout_millis": 20000,
-                    "total_timeout_millis": 600000,
-                }
-            },
-            "methods": {
-                "AnalyzeSentiment": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "AnalyzeEntities": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "AnalyzeEntitySentiment": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "AnalyzeSyntax": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "ClassifyText": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "AnnotateText": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-            },
-        }
-    }
-}
diff --git a/google/cloud/language_v1/gapic/transports/__init__.py b/google/cloud/language_v1/gapic/transports/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/google/cloud/language_v1/gapic/transports/language_service_grpc_transport.py b/google/cloud/language_v1/gapic/transports/language_service_grpc_transport.py
deleted file mode 100644
index 5784072c..00000000
--- a/google/cloud/language_v1/gapic/transports/language_service_grpc_transport.py
+++ /dev/null
@@ -1,197 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-import google.api_core.grpc_helpers
-
-from google.cloud.language_v1.proto import language_service_pb2_grpc
-
-
-class LanguageServiceGrpcTransport(object):
-    """gRPC transport class providing stubs for
-    google.cloud.language.v1 LanguageService API.
-
-    The transport provides access to the raw gRPC stubs,
-    which can be used to take advantage of advanced
-    features of gRPC.
-    """
-
-    # The scopes needed to make gRPC calls to all of the methods defined
-    # in this service.
-    _OAUTH_SCOPES = (
-        "https://www.googleapis.com/auth/cloud-language",
-        "https://www.googleapis.com/auth/cloud-platform",
-    )
-
-    def __init__(
-        self, channel=None, credentials=None, address="language.googleapis.com:443"
-    ):
-        """Instantiate the transport class.
-
-        Args:
-            channel (grpc.Channel): A ``Channel`` instance through
-                which to make calls. This argument is mutually exclusive
-                with ``credentials``; providing both will raise an exception.
-            credentials (google.auth.credentials.Credentials): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            address (str): The address where the service is hosted.
-        """
-        # If both `channel` and `credentials` are specified, raise an
-        # exception (channels come with credentials baked in already).
-        if channel is not None and credentials is not None:
-            raise ValueError(
-                "The `channel` and `credentials` arguments are mutually " "exclusive."
-            )
-
-        # Create the channel.
-        if channel is None:
-            channel = self.create_channel(
-                address=address,
-                credentials=credentials,
-                options={
-                    "grpc.max_send_message_length": -1,
-                    "grpc.max_receive_message_length": -1,
-                }.items(),
-            )
-
-        self._channel = channel
-
-        # gRPC uses objects called "stubs" that are bound to the
-        # channel and provide a basic method for each RPC.
-        self._stubs = {
-            "language_service_stub": language_service_pb2_grpc.LanguageServiceStub(
-                channel
-            )
-        }
-
-    @classmethod
-    def create_channel(
-        cls, address="language.googleapis.com:443", credentials=None, **kwargs
-    ):
-        """Create and return a gRPC channel object.
-
-        Args:
-            address (str): The host for the channel to use.
-            credentials (~.Credentials): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            kwargs (dict): Keyword arguments, which are passed to the
-                channel creation.
-
-        Returns:
-            grpc.Channel: A gRPC channel object.
-        """
-        return google.api_core.grpc_helpers.create_channel(
-            address, credentials=credentials, scopes=cls._OAUTH_SCOPES, **kwargs
-        )
-
-    @property
-    def channel(self):
-        """The gRPC channel used by the transport.
-
-        Returns:
-            grpc.Channel: A gRPC channel object.
-        """
-        return self._channel
-
-    @property
-    def analyze_sentiment(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.analyze_sentiment`.
-
-        Analyzes the sentiment of the provided text.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnalyzeSentiment
-
-    @property
-    def analyze_entities(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.analyze_entities`.
-
-        Finds named entities (currently proper names and common nouns) in the text
-        along with entity types, salience, mentions for each entity, and
-        other properties.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnalyzeEntities
-
-    @property
-    def analyze_entity_sentiment(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.analyze_entity_sentiment`.
-
-        Finds entities, similar to ``AnalyzeEntities`` in the text and
-        analyzes sentiment associated with each entity and its mentions.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnalyzeEntitySentiment
-
-    @property
-    def analyze_syntax(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.analyze_syntax`.
-
-        Analyzes the syntax of the text and provides sentence boundaries and
-        tokenization along with part of speech tags, dependency trees, and other
-        properties.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnalyzeSyntax
-
-    @property
-    def classify_text(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.classify_text`.
-
-        Classifies a document into categories.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].ClassifyText
-
-    @property
-    def annotate_text(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.annotate_text`.
-
-        A convenience method that provides all the features that analyzeSentiment,
-        analyzeEntities, and analyzeSyntax provide in one call.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnnotateText
diff --git a/google/cloud/language_v1/proto/__init__.py b/google/cloud/language_v1/proto/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/google/cloud/language_v1/proto/language_service.proto b/google/cloud/language_v1/proto/language_service.proto
deleted file mode 100644
index e8e4fd8d..00000000
--- a/google/cloud/language_v1/proto/language_service.proto
+++ /dev/null
@@ -1,1122 +0,0 @@
-// Copyright 2019 Google LLC.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-//
-
-syntax = "proto3";
-
-package google.cloud.language.v1;
-
-import "google/api/annotations.proto";
-import "google/api/client.proto";
-import "google/api/field_behavior.proto";
-
-option go_package = "google.golang.org/genproto/googleapis/cloud/language/v1;language";
-option java_multiple_files = true;
-option java_outer_classname = "LanguageServiceProto";
-option java_package = "com.google.cloud.language.v1";
-
-
-// Provides text analysis operations such as sentiment analysis and entity
-// recognition.
-service LanguageService {
-  option (google.api.default_host) = "language.googleapis.com";
-  option (google.api.oauth_scopes) =
-    "https://www.googleapis.com/auth/cloud-language,"
-    "https://www.googleapis.com/auth/cloud-platform";
-  // Analyzes the sentiment of the provided text.
-  rpc AnalyzeSentiment(AnalyzeSentimentRequest) returns (AnalyzeSentimentResponse) {
-    option (google.api.http) = {
-      post: "/v1/documents:analyzeSentiment"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,encoding_type";
-    option (google.api.method_signature) = "document";
-  }
-
-  // Finds named entities (currently proper names and common nouns) in the text
-  // along with entity types, salience, mentions for each entity, and
-  // other properties.
-  rpc AnalyzeEntities(AnalyzeEntitiesRequest) returns (AnalyzeEntitiesResponse) {
-    option (google.api.http) = {
-      post: "/v1/documents:analyzeEntities"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,encoding_type";
-    option (google.api.method_signature) = "document";
-  }
-
-  // Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1.LanguageService.AnalyzeEntities] in the text and analyzes
-  // sentiment associated with each entity and its mentions.
-  rpc AnalyzeEntitySentiment(AnalyzeEntitySentimentRequest) returns (AnalyzeEntitySentimentResponse) {
-    option (google.api.http) = {
-      post: "/v1/documents:analyzeEntitySentiment"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,encoding_type";
-    option (google.api.method_signature) = "document";
-  }
-
-  // Analyzes the syntax of the text and provides sentence boundaries and
-  // tokenization along with part of speech tags, dependency trees, and other
-  // properties.
-  rpc AnalyzeSyntax(AnalyzeSyntaxRequest) returns (AnalyzeSyntaxResponse) {
-    option (google.api.http) = {
-      post: "/v1/documents:analyzeSyntax"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,encoding_type";
-    option (google.api.method_signature) = "document";
-  }
-
-  // Classifies a document into categories.
-  rpc ClassifyText(ClassifyTextRequest) returns (ClassifyTextResponse) {
-    option (google.api.http) = {
-      post: "/v1/documents:classifyText"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document";
-  }
-
-  // A convenience method that provides all the features that analyzeSentiment,
-  // analyzeEntities, and analyzeSyntax provide in one call.
-  rpc AnnotateText(AnnotateTextRequest) returns (AnnotateTextResponse) {
-    option (google.api.http) = {
-      post: "/v1/documents:annotateText"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,features,encoding_type";
-    option (google.api.method_signature) = "document,features";
-  }
-}
-
-// ################################################################ #
-//
-// Represents the input to API methods.
-message Document {
-  // The document types enum.
-  enum Type {
-    // The content type is not specified.
-    TYPE_UNSPECIFIED = 0;
-
-    // Plain text
-    PLAIN_TEXT = 1;
-
-    // HTML
-    HTML = 2;
-  }
-
-  // Required. If the type is not set or is `TYPE_UNSPECIFIED`,
-  // returns an `INVALID_ARGUMENT` error.
-  Type type = 1;
-
-  // The source of the document: a string containing the content or a
-  // Google Cloud Storage URI.
-  oneof source {
-    // The content of the input in string format.
-    // Cloud audit logging exempt since it is based on user data.
-    string content = 2;
-
-    // The Google Cloud Storage URI where the file content is located.
-    // This URI must be of the form: gs://bucket_name/object_name. For more
-    // details, see https://cloud.google.com/storage/docs/reference-uris.
-    // NOTE: Cloud Storage object versioning is not supported.
-    string gcs_content_uri = 3;
-  }
-
-  // The language of the document (if not specified, the language is
-  // automatically detected). Both ISO and BCP-47 language codes are
-  // accepted.<br>
-  // [Language
-  // Support](https://cloud.google.com/natural-language/docs/languages) lists
-  // currently supported languages for each API method. If the language (either
-  // specified by the caller or automatically detected) is not supported by the
-  // called API method, an `INVALID_ARGUMENT` error is returned.
-  string language = 4;
-}
-
-// Represents a sentence in the input document.
-message Sentence {
-  // The sentence text.
-  TextSpan text = 1;
-
-  // For calls to [AnalyzeSentiment][] or if
-  // [AnnotateTextRequest.Features.extract_document_sentiment][google.cloud.language.v1.AnnotateTextRequest.Features.extract_document_sentiment] is set to
-  // true, this field will contain the sentiment for the sentence.
-  Sentiment sentiment = 2;
-}
-
-// Represents a phrase in the text that is a known entity, such as
-// a person, an organization, or location. The API associates information, such
-// as salience and mentions, with entities.
-message Entity {
-  // The type of the entity. For most entity types, the associated metadata is a
-  // Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`). The table
-  // below lists the associated fields for entities that have different
-  // metadata.
-  enum Type {
-    // Unknown
-    UNKNOWN = 0;
-
-    // Person
-    PERSON = 1;
-
-    // Location
-    LOCATION = 2;
-
-    // Organization
-    ORGANIZATION = 3;
-
-    // Event
-    EVENT = 4;
-
-    // Artwork
-    WORK_OF_ART = 5;
-
-    // Consumer product
-    CONSUMER_GOOD = 6;
-
-    // Other types of entities
-    OTHER = 7;
-
-    // Phone number<br><br>
-    // The metadata lists the phone number, formatted according to local
-    // convention, plus whichever additional elements appear in the text:<ul>
-    // <li><code>number</code> &ndash; the actual number, broken down into
-    // sections as per local convention</li> <li><code>national_prefix</code>
-    // &ndash; country code, if detected</li> <li><code>area_code</code> &ndash;
-    // region or area code, if detected</li> <li><code>extension</code> &ndash;
-    // phone extension (to be dialed after connection), if detected</li></ul>
-    PHONE_NUMBER = 9;
-
-    // Address<br><br>
-    // The metadata identifies the street number and locality plus whichever
-    // additional elements appear in the text:<ul>
-    // <li><code>street_number</code> &ndash; street number</li>
-    // <li><code>locality</code> &ndash; city or town</li>
-    // <li><code>street_name</code> &ndash; street/route name, if detected</li>
-    // <li><code>postal_code</code> &ndash; postal code, if detected</li>
-    // <li><code>country</code> &ndash; country, if detected</li>
-    // <li><code>broad_region</code> &ndash; administrative area, such as the
-    // state, if detected</li> <li><code>narrow_region</code> &ndash; smaller
-    // administrative area, such as county, if detected</li>
-    // <li><code>sublocality</code> &ndash; used in Asian addresses to demark a
-    // district within a city, if detected</li></ul>
-    ADDRESS = 10;
-
-    // Date<br><br>
-    // The metadata identifies the components of the date:<ul>
-    // <li><code>year</code> &ndash; four digit year, if detected</li>
-    // <li><code>month</code> &ndash; two digit month number, if detected</li>
-    // <li><code>day</code> &ndash; two digit day number, if detected</li></ul>
-    DATE = 11;
-
-    // Number<br><br>
-    // The metadata is the number itself.
-    NUMBER = 12;
-
-    // Price<br><br>
-    // The metadata identifies the <code>value</code> and <code>currency</code>.
-    PRICE = 13;
-  }
-
-  // The representative name for the entity.
-  string name = 1;
-
-  // The entity type.
-  Type type = 2;
-
-  // Metadata associated with the entity.
-  //
-  // For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`)
-  // and Knowledge Graph MID (`mid`), if they are available. For the metadata
-  // associated with other entity types, see the Type table below.
-  map<string, string> metadata = 3;
-
-  // The salience score associated with the entity in the [0, 1.0] range.
-  //
-  // The salience score for an entity provides information about the
-  // importance or centrality of that entity to the entire document text.
-  // Scores closer to 0 are less salient, while scores closer to 1.0 are highly
-  // salient.
-  float salience = 4;
-
-  // The mentions of this entity in the input document. The API currently
-  // supports proper noun mentions.
-  repeated EntityMention mentions = 5;
-
-  // For calls to [AnalyzeEntitySentiment][] or if
-  // [AnnotateTextRequest.Features.extract_entity_sentiment][google.cloud.language.v1.AnnotateTextRequest.Features.extract_entity_sentiment] is set to
-  // true, this field will contain the aggregate sentiment expressed for this
-  // entity in the provided document.
-  Sentiment sentiment = 6;
-}
-
-// Represents the text encoding that the caller uses to process the output.
-// Providing an `EncodingType` is recommended because the API provides the
-// beginning offsets for various outputs, such as tokens and mentions, and
-// languages that natively use different text encodings may access offsets
-// differently.
-enum EncodingType {
-  // If `EncodingType` is not specified, encoding-dependent information (such as
-  // `begin_offset`) will be set at `-1`.
-  NONE = 0;
-
-  // Encoding-dependent information (such as `begin_offset`) is calculated based
-  // on the UTF-8 encoding of the input. C++ and Go are examples of languages
-  // that use this encoding natively.
-  UTF8 = 1;
-
-  // Encoding-dependent information (such as `begin_offset`) is calculated based
-  // on the UTF-16 encoding of the input. Java and JavaScript are examples of
-  // languages that use this encoding natively.
-  UTF16 = 2;
-
-  // Encoding-dependent information (such as `begin_offset`) is calculated based
-  // on the UTF-32 encoding of the input. Python is an example of a language
-  // that uses this encoding natively.
-  UTF32 = 3;
-}
-
-// Represents the smallest syntactic building block of the text.
-message Token {
-  // The token text.
-  TextSpan text = 1;
-
-  // Parts of speech tag for this token.
-  PartOfSpeech part_of_speech = 2;
-
-  // Dependency tree parse for this token.
-  DependencyEdge dependency_edge = 3;
-
-  // [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
-  string lemma = 4;
-}
-
-// Represents the feeling associated with the entire text or entities in
-// the text.
-message Sentiment {
-  // A non-negative number in the [0, +inf) range, which represents
-  // the absolute magnitude of sentiment regardless of score (positive or
-  // negative).
-  float magnitude = 2;
-
-  // Sentiment score between -1.0 (negative sentiment) and 1.0
-  // (positive sentiment).
-  float score = 3;
-}
-
-// Represents part of speech information for a token. Parts of speech
-// are as defined in
-// http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
-message PartOfSpeech {
-  // The part of speech tags enum.
-  enum Tag {
-    // Unknown
-    UNKNOWN = 0;
-
-    // Adjective
-    ADJ = 1;
-
-    // Adposition (preposition and postposition)
-    ADP = 2;
-
-    // Adverb
-    ADV = 3;
-
-    // Conjunction
-    CONJ = 4;
-
-    // Determiner
-    DET = 5;
-
-    // Noun (common and proper)
-    NOUN = 6;
-
-    // Cardinal number
-    NUM = 7;
-
-    // Pronoun
-    PRON = 8;
-
-    // Particle or other function word
-    PRT = 9;
-
-    // Punctuation
-    PUNCT = 10;
-
-    // Verb (all tenses and modes)
-    VERB = 11;
-
-    // Other: foreign words, typos, abbreviations
-    X = 12;
-
-    // Affix
-    AFFIX = 13;
-  }
-
-  // The characteristic of a verb that expresses time flow during an event.
-  enum Aspect {
-    // Aspect is not applicable in the analyzed language or is not predicted.
-    ASPECT_UNKNOWN = 0;
-
-    // Perfective
-    PERFECTIVE = 1;
-
-    // Imperfective
-    IMPERFECTIVE = 2;
-
-    // Progressive
-    PROGRESSIVE = 3;
-  }
-
-  // The grammatical function performed by a noun or pronoun in a phrase,
-  // clause, or sentence. In some languages, other parts of speech, such as
-  // adjective and determiner, take case inflection in agreement with the noun.
-  enum Case {
-    // Case is not applicable in the analyzed language or is not predicted.
-    CASE_UNKNOWN = 0;
-
-    // Accusative
-    ACCUSATIVE = 1;
-
-    // Adverbial
-    ADVERBIAL = 2;
-
-    // Complementive
-    COMPLEMENTIVE = 3;
-
-    // Dative
-    DATIVE = 4;
-
-    // Genitive
-    GENITIVE = 5;
-
-    // Instrumental
-    INSTRUMENTAL = 6;
-
-    // Locative
-    LOCATIVE = 7;
-
-    // Nominative
-    NOMINATIVE = 8;
-
-    // Oblique
-    OBLIQUE = 9;
-
-    // Partitive
-    PARTITIVE = 10;
-
-    // Prepositional
-    PREPOSITIONAL = 11;
-
-    // Reflexive
-    REFLEXIVE_CASE = 12;
-
-    // Relative
-    RELATIVE_CASE = 13;
-
-    // Vocative
-    VOCATIVE = 14;
-  }
-
-  // Depending on the language, Form can be categorizing different forms of
-  // verbs, adjectives, adverbs, etc. For example, categorizing inflected
-  // endings of verbs and adjectives or distinguishing between short and long
-  // forms of adjectives and participles
-  enum Form {
-    // Form is not applicable in the analyzed language or is not predicted.
-    FORM_UNKNOWN = 0;
-
-    // Adnomial
-    ADNOMIAL = 1;
-
-    // Auxiliary
-    AUXILIARY = 2;
-
-    // Complementizer
-    COMPLEMENTIZER = 3;
-
-    // Final ending
-    FINAL_ENDING = 4;
-
-    // Gerund
-    GERUND = 5;
-
-    // Realis
-    REALIS = 6;
-
-    // Irrealis
-    IRREALIS = 7;
-
-    // Short form
-    SHORT = 8;
-
-    // Long form
-    LONG = 9;
-
-    // Order form
-    ORDER = 10;
-
-    // Specific form
-    SPECIFIC = 11;
-  }
-
-  // Gender classes of nouns reflected in the behaviour of associated words.
-  enum Gender {
-    // Gender is not applicable in the analyzed language or is not predicted.
-    GENDER_UNKNOWN = 0;
-
-    // Feminine
-    FEMININE = 1;
-
-    // Masculine
-    MASCULINE = 2;
-
-    // Neuter
-    NEUTER = 3;
-  }
-
-  // The grammatical feature of verbs, used for showing modality and attitude.
-  enum Mood {
-    // Mood is not applicable in the analyzed language or is not predicted.
-    MOOD_UNKNOWN = 0;
-
-    // Conditional
-    CONDITIONAL_MOOD = 1;
-
-    // Imperative
-    IMPERATIVE = 2;
-
-    // Indicative
-    INDICATIVE = 3;
-
-    // Interrogative
-    INTERROGATIVE = 4;
-
-    // Jussive
-    JUSSIVE = 5;
-
-    // Subjunctive
-    SUBJUNCTIVE = 6;
-  }
-
-  // Count distinctions.
-  enum Number {
-    // Number is not applicable in the analyzed language or is not predicted.
-    NUMBER_UNKNOWN = 0;
-
-    // Singular
-    SINGULAR = 1;
-
-    // Plural
-    PLURAL = 2;
-
-    // Dual
-    DUAL = 3;
-  }
-
-  // The distinction between the speaker, second person, third person, etc.
-  enum Person {
-    // Person is not applicable in the analyzed language or is not predicted.
-    PERSON_UNKNOWN = 0;
-
-    // First
-    FIRST = 1;
-
-    // Second
-    SECOND = 2;
-
-    // Third
-    THIRD = 3;
-
-    // Reflexive
-    REFLEXIVE_PERSON = 4;
-  }
-
-  // This category shows if the token is part of a proper name.
-  enum Proper {
-    // Proper is not applicable in the analyzed language or is not predicted.
-    PROPER_UNKNOWN = 0;
-
-    // Proper
-    PROPER = 1;
-
-    // Not proper
-    NOT_PROPER = 2;
-  }
-
-  // Reciprocal features of a pronoun.
-  enum Reciprocity {
-    // Reciprocity is not applicable in the analyzed language or is not
-    // predicted.
-    RECIPROCITY_UNKNOWN = 0;
-
-    // Reciprocal
-    RECIPROCAL = 1;
-
-    // Non-reciprocal
-    NON_RECIPROCAL = 2;
-  }
-
-  // Time reference.
-  enum Tense {
-    // Tense is not applicable in the analyzed language or is not predicted.
-    TENSE_UNKNOWN = 0;
-
-    // Conditional
-    CONDITIONAL_TENSE = 1;
-
-    // Future
-    FUTURE = 2;
-
-    // Past
-    PAST = 3;
-
-    // Present
-    PRESENT = 4;
-
-    // Imperfect
-    IMPERFECT = 5;
-
-    // Pluperfect
-    PLUPERFECT = 6;
-  }
-
-  // The relationship between the action that a verb expresses and the
-  // participants identified by its arguments.
-  enum Voice {
-    // Voice is not applicable in the analyzed language or is not predicted.
-    VOICE_UNKNOWN = 0;
-
-    // Active
-    ACTIVE = 1;
-
-    // Causative
-    CAUSATIVE = 2;
-
-    // Passive
-    PASSIVE = 3;
-  }
-
-  // The part of speech tag.
-  Tag tag = 1;
-
-  // The grammatical aspect.
-  Aspect aspect = 2;
-
-  // The grammatical case.
-  Case case = 3;
-
-  // The grammatical form.
-  Form form = 4;
-
-  // The grammatical gender.
-  Gender gender = 5;
-
-  // The grammatical mood.
-  Mood mood = 6;
-
-  // The grammatical number.
-  Number number = 7;
-
-  // The grammatical person.
-  Person person = 8;
-
-  // The grammatical properness.
-  Proper proper = 9;
-
-  // The grammatical reciprocity.
-  Reciprocity reciprocity = 10;
-
-  // The grammatical tense.
-  Tense tense = 11;
-
-  // The grammatical voice.
-  Voice voice = 12;
-}
-
-// Represents dependency parse tree information for a token. (For more
-// information on dependency labels, see
-// http://www.aclweb.org/anthology/P13-2017
-message DependencyEdge {
-  // The parse label enum for the token.
-  enum Label {
-    // Unknown
-    UNKNOWN = 0;
-
-    // Abbreviation modifier
-    ABBREV = 1;
-
-    // Adjectival complement
-    ACOMP = 2;
-
-    // Adverbial clause modifier
-    ADVCL = 3;
-
-    // Adverbial modifier
-    ADVMOD = 4;
-
-    // Adjectival modifier of an NP
-    AMOD = 5;
-
-    // Appositional modifier of an NP
-    APPOS = 6;
-
-    // Attribute dependent of a copular verb
-    ATTR = 7;
-
-    // Auxiliary (non-main) verb
-    AUX = 8;
-
-    // Passive auxiliary
-    AUXPASS = 9;
-
-    // Coordinating conjunction
-    CC = 10;
-
-    // Clausal complement of a verb or adjective
-    CCOMP = 11;
-
-    // Conjunct
-    CONJ = 12;
-
-    // Clausal subject
-    CSUBJ = 13;
-
-    // Clausal passive subject
-    CSUBJPASS = 14;
-
-    // Dependency (unable to determine)
-    DEP = 15;
-
-    // Determiner
-    DET = 16;
-
-    // Discourse
-    DISCOURSE = 17;
-
-    // Direct object
-    DOBJ = 18;
-
-    // Expletive
-    EXPL = 19;
-
-    // Goes with (part of a word in a text not well edited)
-    GOESWITH = 20;
-
-    // Indirect object
-    IOBJ = 21;
-
-    // Marker (word introducing a subordinate clause)
-    MARK = 22;
-
-    // Multi-word expression
-    MWE = 23;
-
-    // Multi-word verbal expression
-    MWV = 24;
-
-    // Negation modifier
-    NEG = 25;
-
-    // Noun compound modifier
-    NN = 26;
-
-    // Noun phrase used as an adverbial modifier
-    NPADVMOD = 27;
-
-    // Nominal subject
-    NSUBJ = 28;
-
-    // Passive nominal subject
-    NSUBJPASS = 29;
-
-    // Numeric modifier of a noun
-    NUM = 30;
-
-    // Element of compound number
-    NUMBER = 31;
-
-    // Punctuation mark
-    P = 32;
-
-    // Parataxis relation
-    PARATAXIS = 33;
-
-    // Participial modifier
-    PARTMOD = 34;
-
-    // The complement of a preposition is a clause
-    PCOMP = 35;
-
-    // Object of a preposition
-    POBJ = 36;
-
-    // Possession modifier
-    POSS = 37;
-
-    // Postverbal negative particle
-    POSTNEG = 38;
-
-    // Predicate complement
-    PRECOMP = 39;
-
-    // Preconjunt
-    PRECONJ = 40;
-
-    // Predeterminer
-    PREDET = 41;
-
-    // Prefix
-    PREF = 42;
-
-    // Prepositional modifier
-    PREP = 43;
-
-    // The relationship between a verb and verbal morpheme
-    PRONL = 44;
-
-    // Particle
-    PRT = 45;
-
-    // Associative or possessive marker
-    PS = 46;
-
-    // Quantifier phrase modifier
-    QUANTMOD = 47;
-
-    // Relative clause modifier
-    RCMOD = 48;
-
-    // Complementizer in relative clause
-    RCMODREL = 49;
-
-    // Ellipsis without a preceding predicate
-    RDROP = 50;
-
-    // Referent
-    REF = 51;
-
-    // Remnant
-    REMNANT = 52;
-
-    // Reparandum
-    REPARANDUM = 53;
-
-    // Root
-    ROOT = 54;
-
-    // Suffix specifying a unit of number
-    SNUM = 55;
-
-    // Suffix
-    SUFF = 56;
-
-    // Temporal modifier
-    TMOD = 57;
-
-    // Topic marker
-    TOPIC = 58;
-
-    // Clause headed by an infinite form of the verb that modifies a noun
-    VMOD = 59;
-
-    // Vocative
-    VOCATIVE = 60;
-
-    // Open clausal complement
-    XCOMP = 61;
-
-    // Name suffix
-    SUFFIX = 62;
-
-    // Name title
-    TITLE = 63;
-
-    // Adverbial phrase modifier
-    ADVPHMOD = 64;
-
-    // Causative auxiliary
-    AUXCAUS = 65;
-
-    // Helper auxiliary
-    AUXVV = 66;
-
-    // Rentaishi (Prenominal modifier)
-    DTMOD = 67;
-
-    // Foreign words
-    FOREIGN = 68;
-
-    // Keyword
-    KW = 69;
-
-    // List for chains of comparable items
-    LIST = 70;
-
-    // Nominalized clause
-    NOMC = 71;
-
-    // Nominalized clausal subject
-    NOMCSUBJ = 72;
-
-    // Nominalized clausal passive
-    NOMCSUBJPASS = 73;
-
-    // Compound of numeric modifier
-    NUMC = 74;
-
-    // Copula
-    COP = 75;
-
-    // Dislocated relation (for fronted/topicalized elements)
-    DISLOCATED = 76;
-
-    // Aspect marker
-    ASP = 77;
-
-    // Genitive modifier
-    GMOD = 78;
-
-    // Genitive object
-    GOBJ = 79;
-
-    // Infinitival modifier
-    INFMOD = 80;
-
-    // Measure
-    MES = 81;
-
-    // Nominal complement of a noun
-    NCOMP = 82;
-  }
-
-  // Represents the head of this token in the dependency tree.
-  // This is the index of the token which has an arc going to this token.
-  // The index is the position of the token in the array of tokens returned
-  // by the API method. If this token is a root token, then the
-  // `head_token_index` is its own index.
-  int32 head_token_index = 1;
-
-  // The parse label for the token.
-  Label label = 2;
-}
-
-// Represents a mention for an entity in the text. Currently, proper noun
-// mentions are supported.
-message EntityMention {
-  // The supported types of mentions.
-  enum Type {
-    // Unknown
-    TYPE_UNKNOWN = 0;
-
-    // Proper name
-    PROPER = 1;
-
-    // Common noun (or noun compound)
-    COMMON = 2;
-  }
-
-  // The mention text.
-  TextSpan text = 1;
-
-  // The type of the entity mention.
-  Type type = 2;
-
-  // For calls to [AnalyzeEntitySentiment][] or if
-  // [AnnotateTextRequest.Features.extract_entity_sentiment][google.cloud.language.v1.AnnotateTextRequest.Features.extract_entity_sentiment] is set to
-  // true, this field will contain the sentiment expressed for this mention of
-  // the entity in the provided document.
-  Sentiment sentiment = 3;
-}
-
-// Represents an output piece of text.
-message TextSpan {
-  // The content of the output text.
-  string content = 1;
-
-  // The API calculates the beginning offset of the content in the original
-  // document according to the [EncodingType][google.cloud.language.v1.EncodingType] specified in the API request.
-  int32 begin_offset = 2;
-}
-
-// Represents a category returned from the text classifier.
-message ClassificationCategory {
-  // The name of the category representing the document, from the [predefined
-  // taxonomy](https://cloud.google.com/natural-language/docs/categories).
-  string name = 1;
-
-  // The classifier's confidence of the category. Number represents how certain
-  // the classifier is that this category represents the given text.
-  float confidence = 2;
-}
-
-// The sentiment analysis request message.
-message AnalyzeSentimentRequest {
-  // Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate sentence offsets.
-  EncodingType encoding_type = 2;
-}
-
-// The sentiment analysis response message.
-message AnalyzeSentimentResponse {
-  // The overall sentiment of the input document.
-  Sentiment document_sentiment = 1;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1.Document.language] field for more details.
-  string language = 2;
-
-  // The sentiment for all the sentences in the document.
-  repeated Sentence sentences = 3;
-}
-
-// The entity-level sentiment analysis request message.
-message AnalyzeEntitySentimentRequest {
-  // Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate offsets.
-  EncodingType encoding_type = 2;
-}
-
-// The entity-level sentiment analysis response message.
-message AnalyzeEntitySentimentResponse {
-  // The recognized entities in the input document with associated sentiments.
-  repeated Entity entities = 1;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1.Document.language] field for more details.
-  string language = 2;
-}
-
-// The entity analysis request message.
-message AnalyzeEntitiesRequest {
-  // Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate offsets.
-  EncodingType encoding_type = 2;
-}
-
-// The entity analysis response message.
-message AnalyzeEntitiesResponse {
-  // The recognized entities in the input document.
-  repeated Entity entities = 1;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1.Document.language] field for more details.
-  string language = 2;
-}
-
-// The syntax analysis request message.
-message AnalyzeSyntaxRequest {
-  // Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate offsets.
-  EncodingType encoding_type = 2;
-}
-
-// The syntax analysis response message.
-message AnalyzeSyntaxResponse {
-  // Sentences in the input document.
-  repeated Sentence sentences = 1;
-
-  // Tokens, along with their syntactic information, in the input document.
-  repeated Token tokens = 2;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1.Document.language] field for more details.
-  string language = 3;
-}
-
-// The document classification request message.
-message ClassifyTextRequest {
-  // Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-}
-
-// The document classification response message.
-message ClassifyTextResponse {
-  // Categories representing the input document.
-  repeated ClassificationCategory categories = 1;
-}
-
-// The request message for the text annotation API, which can perform multiple
-// analysis types (sentiment, entities, and syntax) in one call.
-message AnnotateTextRequest {
-  // All available features for sentiment, syntax, and semantic analysis.
-  // Setting each one to true will enable that specific analysis for the input.
-  message Features {
-    // Extract syntax information.
-    bool extract_syntax = 1;
-
-    // Extract entities.
-    bool extract_entities = 2;
-
-    // Extract document-level sentiment.
-    bool extract_document_sentiment = 3;
-
-    // Extract entities and their associated sentiment.
-    bool extract_entity_sentiment = 4;
-
-    // Classify the full document into categories.
-    bool classify_text = 6;
-  }
-
-  // Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // The enabled features.
-  Features features = 2 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate offsets.
-  EncodingType encoding_type = 3;
-}
-
-// The text annotations response message.
-message AnnotateTextResponse {
-  // Sentences in the input document. Populated if the user enables
-  // [AnnotateTextRequest.Features.extract_syntax][google.cloud.language.v1.AnnotateTextRequest.Features.extract_syntax].
-  repeated Sentence sentences = 1;
-
-  // Tokens, along with their syntactic information, in the input document.
-  // Populated if the user enables
-  // [AnnotateTextRequest.Features.extract_syntax][google.cloud.language.v1.AnnotateTextRequest.Features.extract_syntax].
-  repeated Token tokens = 2;
-
-  // Entities, along with their semantic information, in the input document.
-  // Populated if the user enables
-  // [AnnotateTextRequest.Features.extract_entities][google.cloud.language.v1.AnnotateTextRequest.Features.extract_entities].
-  repeated Entity entities = 3;
-
-  // The overall sentiment for the document. Populated if the user enables
-  // [AnnotateTextRequest.Features.extract_document_sentiment][google.cloud.language.v1.AnnotateTextRequest.Features.extract_document_sentiment].
-  Sentiment document_sentiment = 4;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1.Document.language] field for more details.
-  string language = 5;
-
-  // Categories identified in the input document.
-  repeated ClassificationCategory categories = 6;
-}
diff --git a/google/cloud/language_v1/proto/language_service_pb2.py b/google/cloud/language_v1/proto/language_service_pb2.py
deleted file mode 100644
index 675c5ad4..00000000
--- a/google/cloud/language_v1/proto/language_service_pb2.py
+++ /dev/null
@@ -1,4568 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: google/cloud/language_v1/proto/language_service.proto
-
-from google.protobuf.internal import enum_type_wrapper
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.api import client_pb2 as google_dot_api_dot_client__pb2
-from google.api import field_behavior_pb2 as google_dot_api_dot_field__behavior__pb2
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-    name="google/cloud/language_v1/proto/language_service.proto",
-    package="google.cloud.language.v1",
-    syntax="proto3",
-    serialized_options=b"\n\034com.google.cloud.language.v1B\024LanguageServiceProtoP\001Z@google.golang.org/genproto/googleapis/cloud/language/v1;language",
-    create_key=_descriptor._internal_create_key,
-    serialized_pb=b'\n5google/cloud/language_v1/proto/language_service.proto\x12\x18google.cloud.language.v1\x1a\x1cgoogle/api/annotations.proto\x1a\x17google/api/client.proto\x1a\x1fgoogle/api/field_behavior.proto"\xc3\x01\n\x08\x44ocument\x12\x35\n\x04type\x18\x01 \x01(\x0e\x32\'.google.cloud.language.v1.Document.Type\x12\x11\n\x07\x63ontent\x18\x02 \x01(\tH\x00\x12\x19\n\x0fgcs_content_uri\x18\x03 \x01(\tH\x00\x12\x10\n\x08language\x18\x04 \x01(\t"6\n\x04Type\x12\x14\n\x10TYPE_UNSPECIFIED\x10\x00\x12\x0e\n\nPLAIN_TEXT\x10\x01\x12\x08\n\x04HTML\x10\x02\x42\x08\n\x06source"t\n\x08Sentence\x12\x30\n\x04text\x18\x01 \x01(\x0b\x32".google.cloud.language.v1.TextSpan\x12\x36\n\tsentiment\x18\x02 \x01(\x0b\x32#.google.cloud.language.v1.Sentiment"\xff\x03\n\x06\x45ntity\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x33\n\x04type\x18\x02 \x01(\x0e\x32%.google.cloud.language.v1.Entity.Type\x12@\n\x08metadata\x18\x03 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-_ENCODINGTYPE = _descriptor.EnumDescriptor(
-    name="EncodingType",
-    full_name="google.cloud.language.v1.EncodingType",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
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-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
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-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
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-        _descriptor.EnumValueDescriptor(
-            name="UTF32",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=6742,
-    serialized_end=6798,
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-_sym_db.RegisterEnumDescriptor(_ENCODINGTYPE)
-
-EncodingType = enum_type_wrapper.EnumTypeWrapper(_ENCODINGTYPE)
-NONE = 0
-UTF8 = 1
-UTF16 = 2
-UTF32 = 3
-
-
-_DOCUMENT_TYPE = _descriptor.EnumDescriptor(
-    name="Type",
-    full_name="google.cloud.language.v1.Document.Type",
-    filename=None,
-    file=DESCRIPTOR,
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-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
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-    serialized_end=357,
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-_sym_db.RegisterEnumDescriptor(_DOCUMENT_TYPE)
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-_ENTITY_TYPE = _descriptor.EnumDescriptor(
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-    full_name="google.cloud.language.v1.Entity.Type",
-    filename=None,
-    file=DESCRIPTOR,
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-            name="PERSON",
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-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="LOCATION",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
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-            type=None,
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-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
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-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONSUMER_GOOD",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="OTHER",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PHONE_NUMBER",
-            index=8,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADDRESS",
-            index=9,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DATE",
-            index=10,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUMBER",
-            index=11,
-            number=12,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRICE",
-            index=12,
-            number=13,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=814,
-    serialized_end=999,
-)
-_sym_db.RegisterEnumDescriptor(_ENTITY_TYPE)
-
-_PARTOFSPEECH_TAG = _descriptor.EnumDescriptor(
-    name="Tag",
-    full_name="google.cloud.language.v1.PartOfSpeech.Tag",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADJ",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADP",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADV",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONJ",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DET",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOUN",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUM",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRON",
-            index=8,
-            number=8,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRT",
-            index=9,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PUNCT",
-            index=10,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="VERB",
-            index=11,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="X",
-            index=12,
-            number=12,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AFFIX",
-            index=13,
-            number=13,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2016,
-    serialized_end=2157,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_TAG)
-
-_PARTOFSPEECH_ASPECT = _descriptor.EnumDescriptor(
-    name="Aspect",
-    full_name="google.cloud.language.v1.PartOfSpeech.Aspect",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="ASPECT_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PERFECTIVE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IMPERFECTIVE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PROGRESSIVE",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2159,
-    serialized_end=2238,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_ASPECT)
-
-_PARTOFSPEECH_CASE = _descriptor.EnumDescriptor(
-    name="Case",
-    full_name="google.cloud.language.v1.PartOfSpeech.Case",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="CASE_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ACCUSATIVE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADVERBIAL",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="COMPLEMENTIVE",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DATIVE",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GENITIVE",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="INSTRUMENTAL",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="LOCATIVE",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOMINATIVE",
-            index=8,
-            number=8,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="OBLIQUE",
-            index=9,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PARTITIVE",
-            index=10,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PREPOSITIONAL",
-            index=11,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REFLEXIVE_CASE",
-            index=12,
-            number=12,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RELATIVE_CASE",
-            index=13,
-            number=13,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="VOCATIVE",
-            index=14,
-            number=14,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2241,
-    serialized_end=2489,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_CASE)
-
-_PARTOFSPEECH_FORM = _descriptor.EnumDescriptor(
-    name="Form",
-    full_name="google.cloud.language.v1.PartOfSpeech.Form",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="FORM_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADNOMIAL",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUXILIARY",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="COMPLEMENTIZER",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FINAL_ENDING",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GERUND",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REALIS",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IRREALIS",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SHORT",
-            index=8,
-            number=8,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="LONG",
-            index=9,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ORDER",
-            index=10,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SPECIFIC",
-            index=11,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2492,
-    serialized_end=2667,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_FORM)
-
-_PARTOFSPEECH_GENDER = _descriptor.EnumDescriptor(
-    name="Gender",
-    full_name="google.cloud.language.v1.PartOfSpeech.Gender",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="GENDER_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FEMININE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MASCULINE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NEUTER",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2669,
-    serialized_end=2738,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_GENDER)
-
-_PARTOFSPEECH_MOOD = _descriptor.EnumDescriptor(
-    name="Mood",
-    full_name="google.cloud.language.v1.PartOfSpeech.Mood",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="MOOD_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONDITIONAL_MOOD",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IMPERATIVE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="INDICATIVE",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="INTERROGATIVE",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="JUSSIVE",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SUBJUNCTIVE",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2740,
-    serialized_end=2867,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_MOOD)
-
-_PARTOFSPEECH_NUMBER = _descriptor.EnumDescriptor(
-    name="Number",
-    full_name="google.cloud.language.v1.PartOfSpeech.Number",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="NUMBER_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SINGULAR",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PLURAL",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DUAL",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2869,
-    serialized_end=2933,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_NUMBER)
-
-_PARTOFSPEECH_PERSON = _descriptor.EnumDescriptor(
-    name="Person",
-    full_name="google.cloud.language.v1.PartOfSpeech.Person",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="PERSON_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FIRST",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SECOND",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="THIRD",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REFLEXIVE_PERSON",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2935,
-    serialized_end=3019,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_PERSON)
-
-_PARTOFSPEECH_PROPER = _descriptor.EnumDescriptor(
-    name="Proper",
-    full_name="google.cloud.language.v1.PartOfSpeech.Proper",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="PROPER_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PROPER",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOT_PROPER",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3021,
-    serialized_end=3077,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_PROPER)
-
-_PARTOFSPEECH_RECIPROCITY = _descriptor.EnumDescriptor(
-    name="Reciprocity",
-    full_name="google.cloud.language.v1.PartOfSpeech.Reciprocity",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="RECIPROCITY_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RECIPROCAL",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NON_RECIPROCAL",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3079,
-    serialized_end=3153,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_RECIPROCITY)
-
-_PARTOFSPEECH_TENSE = _descriptor.EnumDescriptor(
-    name="Tense",
-    full_name="google.cloud.language.v1.PartOfSpeech.Tense",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="TENSE_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONDITIONAL_TENSE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FUTURE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PAST",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRESENT",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IMPERFECT",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PLUPERFECT",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3155,
-    serialized_end=3270,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_TENSE)
-
-_PARTOFSPEECH_VOICE = _descriptor.EnumDescriptor(
-    name="Voice",
-    full_name="google.cloud.language.v1.PartOfSpeech.Voice",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="VOICE_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ACTIVE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CAUSATIVE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PASSIVE",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3272,
-    serialized_end=3338,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_VOICE)
-
-_DEPENDENCYEDGE_LABEL = _descriptor.EnumDescriptor(
-    name="Label",
-    full_name="google.cloud.language.v1.DependencyEdge.Label",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ABBREV",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ACOMP",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADVCL",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADVMOD",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AMOD",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="APPOS",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ATTR",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUX",
-            index=8,
-            number=8,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUXPASS",
-            index=9,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CC",
-            index=10,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CCOMP",
-            index=11,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONJ",
-            index=12,
-            number=12,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CSUBJ",
-            index=13,
-            number=13,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CSUBJPASS",
-            index=14,
-            number=14,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DEP",
-            index=15,
-            number=15,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DET",
-            index=16,
-            number=16,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DISCOURSE",
-            index=17,
-            number=17,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DOBJ",
-            index=18,
-            number=18,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="EXPL",
-            index=19,
-            number=19,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GOESWITH",
-            index=20,
-            number=20,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IOBJ",
-            index=21,
-            number=21,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MARK",
-            index=22,
-            number=22,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MWE",
-            index=23,
-            number=23,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MWV",
-            index=24,
-            number=24,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NEG",
-            index=25,
-            number=25,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NN",
-            index=26,
-            number=26,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NPADVMOD",
-            index=27,
-            number=27,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NSUBJ",
-            index=28,
-            number=28,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NSUBJPASS",
-            index=29,
-            number=29,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUM",
-            index=30,
-            number=30,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUMBER",
-            index=31,
-            number=31,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="P",
-            index=32,
-            number=32,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PARATAXIS",
-            index=33,
-            number=33,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PARTMOD",
-            index=34,
-            number=34,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PCOMP",
-            index=35,
-            number=35,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="POBJ",
-            index=36,
-            number=36,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="POSS",
-            index=37,
-            number=37,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="POSTNEG",
-            index=38,
-            number=38,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRECOMP",
-            index=39,
-            number=39,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRECONJ",
-            index=40,
-            number=40,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PREDET",
-            index=41,
-            number=41,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PREF",
-            index=42,
-            number=42,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PREP",
-            index=43,
-            number=43,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRONL",
-            index=44,
-            number=44,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRT",
-            index=45,
-            number=45,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PS",
-            index=46,
-            number=46,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="QUANTMOD",
-            index=47,
-            number=47,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RCMOD",
-            index=48,
-            number=48,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RCMODREL",
-            index=49,
-            number=49,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RDROP",
-            index=50,
-            number=50,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REF",
-            index=51,
-            number=51,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REMNANT",
-            index=52,
-            number=52,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REPARANDUM",
-            index=53,
-            number=53,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ROOT",
-            index=54,
-            number=54,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SNUM",
-            index=55,
-            number=55,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SUFF",
-            index=56,
-            number=56,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="TMOD",
-            index=57,
-            number=57,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="TOPIC",
-            index=58,
-            number=58,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="VMOD",
-            index=59,
-            number=59,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="VOCATIVE",
-            index=60,
-            number=60,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="XCOMP",
-            index=61,
-            number=61,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SUFFIX",
-            index=62,
-            number=62,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="TITLE",
-            index=63,
-            number=63,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADVPHMOD",
-            index=64,
-            number=64,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUXCAUS",
-            index=65,
-            number=65,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUXVV",
-            index=66,
-            number=66,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DTMOD",
-            index=67,
-            number=67,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FOREIGN",
-            index=68,
-            number=68,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="KW",
-            index=69,
-            number=69,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="LIST",
-            index=70,
-            number=70,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOMC",
-            index=71,
-            number=71,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOMCSUBJ",
-            index=72,
-            number=72,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOMCSUBJPASS",
-            index=73,
-            number=73,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUMC",
-            index=74,
-            number=74,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="COP",
-            index=75,
-            number=75,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DISLOCATED",
-            index=76,
-            number=76,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ASP",
-            index=77,
-            number=77,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GMOD",
-            index=78,
-            number=78,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GOBJ",
-            index=79,
-            number=79,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="INFMOD",
-            index=80,
-            number=80,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MES",
-            index=81,
-            number=81,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NCOMP",
-            index=82,
-            number=82,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3449,
-    serialized_end=4386,
-)
-_sym_db.RegisterEnumDescriptor(_DEPENDENCYEDGE_LABEL)
-
-_ENTITYMENTION_TYPE = _descriptor.EnumDescriptor(
-    name="Type",
-    full_name="google.cloud.language.v1.EntityMention.Type",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="TYPE_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PROPER",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="COMMON",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=4572,
-    serialized_end=4620,
-)
-_sym_db.RegisterEnumDescriptor(_ENTITYMENTION_TYPE)
-
-
-_DOCUMENT = _descriptor.Descriptor(
-    name="Document",
-    full_name="google.cloud.language.v1.Document",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="type",
-            full_name="google.cloud.language.v1.Document.type",
-            index=0,
-            number=1,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="content",
-            full_name="google.cloud.language.v1.Document.content",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="gcs_content_uri",
-            full_name="google.cloud.language.v1.Document.gcs_content_uri",
-            index=2,
-            number=3,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1.Document.language",
-            index=3,
-            number=4,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[_DOCUMENT_TYPE],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[
-        _descriptor.OneofDescriptor(
-            name="source",
-            full_name="google.cloud.language.v1.Document.source",
-            index=0,
-            containing_type=None,
-            create_key=_descriptor._internal_create_key,
-            fields=[],
-        )
-    ],
-    serialized_start=172,
-    serialized_end=367,
-)
-
-
-_SENTENCE = _descriptor.Descriptor(
-    name="Sentence",
-    full_name="google.cloud.language.v1.Sentence",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="text",
-            full_name="google.cloud.language.v1.Sentence.text",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="sentiment",
-            full_name="google.cloud.language.v1.Sentence.sentiment",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=369,
-    serialized_end=485,
-)
-
-
-_ENTITY_METADATAENTRY = _descriptor.Descriptor(
-    name="MetadataEntry",
-    full_name="google.cloud.language.v1.Entity.MetadataEntry",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="key",
-            full_name="google.cloud.language.v1.Entity.MetadataEntry.key",
-            index=0,
-            number=1,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="value",
-            full_name="google.cloud.language.v1.Entity.MetadataEntry.value",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=b"8\001",
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=764,
-    serialized_end=811,
-)
-
-_ENTITY = _descriptor.Descriptor(
-    name="Entity",
-    full_name="google.cloud.language.v1.Entity",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="name",
-            full_name="google.cloud.language.v1.Entity.name",
-            index=0,
-            number=1,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="type",
-            full_name="google.cloud.language.v1.Entity.type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="metadata",
-            full_name="google.cloud.language.v1.Entity.metadata",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="salience",
-            full_name="google.cloud.language.v1.Entity.salience",
-            index=3,
-            number=4,
-            type=2,
-            cpp_type=6,
-            label=1,
-            has_default_value=False,
-            default_value=float(0),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="mentions",
-            full_name="google.cloud.language.v1.Entity.mentions",
-            index=4,
-            number=5,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="sentiment",
-            full_name="google.cloud.language.v1.Entity.sentiment",
-            index=5,
-            number=6,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[_ENTITY_METADATAENTRY],
-    enum_types=[_ENTITY_TYPE],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=488,
-    serialized_end=999,
-)
-
-
-_TOKEN = _descriptor.Descriptor(
-    name="Token",
-    full_name="google.cloud.language.v1.Token",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="text",
-            full_name="google.cloud.language.v1.Token.text",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="part_of_speech",
-            full_name="google.cloud.language.v1.Token.part_of_speech",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="dependency_edge",
-            full_name="google.cloud.language.v1.Token.dependency_edge",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="lemma",
-            full_name="google.cloud.language.v1.Token.lemma",
-            index=3,
-            number=4,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=1002,
-    serialized_end=1205,
-)
-
-
-_SENTIMENT = _descriptor.Descriptor(
-    name="Sentiment",
-    full_name="google.cloud.language.v1.Sentiment",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="magnitude",
-            full_name="google.cloud.language.v1.Sentiment.magnitude",
-            index=0,
-            number=2,
-            type=2,
-            cpp_type=6,
-            label=1,
-            has_default_value=False,
-            default_value=float(0),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="score",
-            full_name="google.cloud.language.v1.Sentiment.score",
-            index=1,
-            number=3,
-            type=2,
-            cpp_type=6,
-            label=1,
-            has_default_value=False,
-            default_value=float(0),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=1207,
-    serialized_end=1252,
-)
-
-
-_PARTOFSPEECH = _descriptor.Descriptor(
-    name="PartOfSpeech",
-    full_name="google.cloud.language.v1.PartOfSpeech",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="tag",
-            full_name="google.cloud.language.v1.PartOfSpeech.tag",
-            index=0,
-            number=1,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="aspect",
-            full_name="google.cloud.language.v1.PartOfSpeech.aspect",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="case",
-            full_name="google.cloud.language.v1.PartOfSpeech.case",
-            index=2,
-            number=3,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="form",
-            full_name="google.cloud.language.v1.PartOfSpeech.form",
-            index=3,
-            number=4,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="gender",
-            full_name="google.cloud.language.v1.PartOfSpeech.gender",
-            index=4,
-            number=5,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="mood",
-            full_name="google.cloud.language.v1.PartOfSpeech.mood",
-            index=5,
-            number=6,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="number",
-            full_name="google.cloud.language.v1.PartOfSpeech.number",
-            index=6,
-            number=7,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="person",
-            full_name="google.cloud.language.v1.PartOfSpeech.person",
-            index=7,
-            number=8,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="proper",
-            full_name="google.cloud.language.v1.PartOfSpeech.proper",
-            index=8,
-            number=9,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="reciprocity",
-            full_name="google.cloud.language.v1.PartOfSpeech.reciprocity",
-            index=9,
-            number=10,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="tense",
-            full_name="google.cloud.language.v1.PartOfSpeech.tense",
-            index=10,
-            number=11,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="voice",
-            full_name="google.cloud.language.v1.PartOfSpeech.voice",
-            index=11,
-            number=12,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[
-        _PARTOFSPEECH_TAG,
-        _PARTOFSPEECH_ASPECT,
-        _PARTOFSPEECH_CASE,
-        _PARTOFSPEECH_FORM,
-        _PARTOFSPEECH_GENDER,
-        _PARTOFSPEECH_MOOD,
-        _PARTOFSPEECH_NUMBER,
-        _PARTOFSPEECH_PERSON,
-        _PARTOFSPEECH_PROPER,
-        _PARTOFSPEECH_RECIPROCITY,
-        _PARTOFSPEECH_TENSE,
-        _PARTOFSPEECH_VOICE,
-    ],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=1255,
-    serialized_end=3338,
-)
-
-
-_DEPENDENCYEDGE = _descriptor.Descriptor(
-    name="DependencyEdge",
-    full_name="google.cloud.language.v1.DependencyEdge",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="head_token_index",
-            full_name="google.cloud.language.v1.DependencyEdge.head_token_index",
-            index=0,
-            number=1,
-            type=5,
-            cpp_type=1,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="label",
-            full_name="google.cloud.language.v1.DependencyEdge.label",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[_DEPENDENCYEDGE_LABEL],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=3341,
-    serialized_end=4386,
-)
-
-
-_ENTITYMENTION = _descriptor.Descriptor(
-    name="EntityMention",
-    full_name="google.cloud.language.v1.EntityMention",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="text",
-            full_name="google.cloud.language.v1.EntityMention.text",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="type",
-            full_name="google.cloud.language.v1.EntityMention.type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="sentiment",
-            full_name="google.cloud.language.v1.EntityMention.sentiment",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[_ENTITYMENTION_TYPE],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=4389,
-    serialized_end=4620,
-)
-
-
-_TEXTSPAN = _descriptor.Descriptor(
-    name="TextSpan",
-    full_name="google.cloud.language.v1.TextSpan",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="content",
-            full_name="google.cloud.language.v1.TextSpan.content",
-            index=0,
-            number=1,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="begin_offset",
-            full_name="google.cloud.language.v1.TextSpan.begin_offset",
-            index=1,
-            number=2,
-            type=5,
-            cpp_type=1,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=4622,
-    serialized_end=4671,
-)
-
-
-_CLASSIFICATIONCATEGORY = _descriptor.Descriptor(
-    name="ClassificationCategory",
-    full_name="google.cloud.language.v1.ClassificationCategory",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="name",
-            full_name="google.cloud.language.v1.ClassificationCategory.name",
-            index=0,
-            number=1,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="confidence",
-            full_name="google.cloud.language.v1.ClassificationCategory.confidence",
-            index=1,
-            number=2,
-            type=2,
-            cpp_type=6,
-            label=1,
-            has_default_value=False,
-            default_value=float(0),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=4673,
-    serialized_end=4731,
-)
-
-
-_ANALYZESENTIMENTREQUEST = _descriptor.Descriptor(
-    name="AnalyzeSentimentRequest",
-    full_name="google.cloud.language.v1.AnalyzeSentimentRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1.AnalyzeSentimentRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1.AnalyzeSentimentRequest.encoding_type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=4734,
-    serialized_end=4881,
-)
-
-
-_ANALYZESENTIMENTRESPONSE = _descriptor.Descriptor(
-    name="AnalyzeSentimentResponse",
-    full_name="google.cloud.language.v1.AnalyzeSentimentResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document_sentiment",
-            full_name="google.cloud.language.v1.AnalyzeSentimentResponse.document_sentiment",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1.AnalyzeSentimentResponse.language",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="sentences",
-            full_name="google.cloud.language.v1.AnalyzeSentimentResponse.sentences",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=4884,
-    serialized_end=5048,
-)
-
-
-_ANALYZEENTITYSENTIMENTREQUEST = _descriptor.Descriptor(
-    name="AnalyzeEntitySentimentRequest",
-    full_name="google.cloud.language.v1.AnalyzeEntitySentimentRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1.AnalyzeEntitySentimentRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1.AnalyzeEntitySentimentRequest.encoding_type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5051,
-    serialized_end=5204,
-)
-
-
-_ANALYZEENTITYSENTIMENTRESPONSE = _descriptor.Descriptor(
-    name="AnalyzeEntitySentimentResponse",
-    full_name="google.cloud.language.v1.AnalyzeEntitySentimentResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="entities",
-            full_name="google.cloud.language.v1.AnalyzeEntitySentimentResponse.entities",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1.AnalyzeEntitySentimentResponse.language",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5206,
-    serialized_end=5308,
-)
-
-
-_ANALYZEENTITIESREQUEST = _descriptor.Descriptor(
-    name="AnalyzeEntitiesRequest",
-    full_name="google.cloud.language.v1.AnalyzeEntitiesRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1.AnalyzeEntitiesRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1.AnalyzeEntitiesRequest.encoding_type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5311,
-    serialized_end=5457,
-)
-
-
-_ANALYZEENTITIESRESPONSE = _descriptor.Descriptor(
-    name="AnalyzeEntitiesResponse",
-    full_name="google.cloud.language.v1.AnalyzeEntitiesResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="entities",
-            full_name="google.cloud.language.v1.AnalyzeEntitiesResponse.entities",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1.AnalyzeEntitiesResponse.language",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5459,
-    serialized_end=5554,
-)
-
-
-_ANALYZESYNTAXREQUEST = _descriptor.Descriptor(
-    name="AnalyzeSyntaxRequest",
-    full_name="google.cloud.language.v1.AnalyzeSyntaxRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1.AnalyzeSyntaxRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1.AnalyzeSyntaxRequest.encoding_type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5557,
-    serialized_end=5701,
-)
-
-
-_ANALYZESYNTAXRESPONSE = _descriptor.Descriptor(
-    name="AnalyzeSyntaxResponse",
-    full_name="google.cloud.language.v1.AnalyzeSyntaxResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="sentences",
-            full_name="google.cloud.language.v1.AnalyzeSyntaxResponse.sentences",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="tokens",
-            full_name="google.cloud.language.v1.AnalyzeSyntaxResponse.tokens",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1.AnalyzeSyntaxResponse.language",
-            index=2,
-            number=3,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5704,
-    serialized_end=5849,
-)
-
-
-_CLASSIFYTEXTREQUEST = _descriptor.Descriptor(
-    name="ClassifyTextRequest",
-    full_name="google.cloud.language.v1.ClassifyTextRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1.ClassifyTextRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        )
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5851,
-    serialized_end=5931,
-)
-
-
-_CLASSIFYTEXTRESPONSE = _descriptor.Descriptor(
-    name="ClassifyTextResponse",
-    full_name="google.cloud.language.v1.ClassifyTextResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="categories",
-            full_name="google.cloud.language.v1.ClassifyTextResponse.categories",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        )
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5933,
-    serialized_end=6025,
-)
-
-
-_ANNOTATETEXTREQUEST_FEATURES = _descriptor.Descriptor(
-    name="Features",
-    full_name="google.cloud.language.v1.AnnotateTextRequest.Features",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="extract_syntax",
-            full_name="google.cloud.language.v1.AnnotateTextRequest.Features.extract_syntax",
-            index=0,
-            number=1,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="extract_entities",
-            full_name="google.cloud.language.v1.AnnotateTextRequest.Features.extract_entities",
-            index=1,
-            number=2,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="extract_document_sentiment",
-            full_name="google.cloud.language.v1.AnnotateTextRequest.Features.extract_document_sentiment",
-            index=2,
-            number=3,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="extract_entity_sentiment",
-            full_name="google.cloud.language.v1.AnnotateTextRequest.Features.extract_entity_sentiment",
-            index=3,
-            number=4,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="classify_text",
-            full_name="google.cloud.language.v1.AnnotateTextRequest.Features.classify_text",
-            index=4,
-            number=6,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=6253,
-    serialized_end=6406,
-)
-
-_ANNOTATETEXTREQUEST = _descriptor.Descriptor(
-    name="AnnotateTextRequest",
-    full_name="google.cloud.language.v1.AnnotateTextRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1.AnnotateTextRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="features",
-            full_name="google.cloud.language.v1.AnnotateTextRequest.features",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1.AnnotateTextRequest.encoding_type",
-            index=2,
-            number=3,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[_ANNOTATETEXTREQUEST_FEATURES],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=6028,
-    serialized_end=6406,
-)
-
-
-_ANNOTATETEXTRESPONSE = _descriptor.Descriptor(
-    name="AnnotateTextResponse",
-    full_name="google.cloud.language.v1.AnnotateTextResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="sentences",
-            full_name="google.cloud.language.v1.AnnotateTextResponse.sentences",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="tokens",
-            full_name="google.cloud.language.v1.AnnotateTextResponse.tokens",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="entities",
-            full_name="google.cloud.language.v1.AnnotateTextResponse.entities",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="document_sentiment",
-            full_name="google.cloud.language.v1.AnnotateTextResponse.document_sentiment",
-            index=3,
-            number=4,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1.AnnotateTextResponse.language",
-            index=4,
-            number=5,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="categories",
-            full_name="google.cloud.language.v1.AnnotateTextResponse.categories",
-            index=5,
-            number=6,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=6409,
-    serialized_end=6740,
-)
-
-_DOCUMENT.fields_by_name["type"].enum_type = _DOCUMENT_TYPE
-_DOCUMENT_TYPE.containing_type = _DOCUMENT
-_DOCUMENT.oneofs_by_name["source"].fields.append(_DOCUMENT.fields_by_name["content"])
-_DOCUMENT.fields_by_name["content"].containing_oneof = _DOCUMENT.oneofs_by_name[
-    "source"
-]
-_DOCUMENT.oneofs_by_name["source"].fields.append(
-    _DOCUMENT.fields_by_name["gcs_content_uri"]
-)
-_DOCUMENT.fields_by_name["gcs_content_uri"].containing_oneof = _DOCUMENT.oneofs_by_name[
-    "source"
-]
-_SENTENCE.fields_by_name["text"].message_type = _TEXTSPAN
-_SENTENCE.fields_by_name["sentiment"].message_type = _SENTIMENT
-_ENTITY_METADATAENTRY.containing_type = _ENTITY
-_ENTITY.fields_by_name["type"].enum_type = _ENTITY_TYPE
-_ENTITY.fields_by_name["metadata"].message_type = _ENTITY_METADATAENTRY
-_ENTITY.fields_by_name["mentions"].message_type = _ENTITYMENTION
-_ENTITY.fields_by_name["sentiment"].message_type = _SENTIMENT
-_ENTITY_TYPE.containing_type = _ENTITY
-_TOKEN.fields_by_name["text"].message_type = _TEXTSPAN
-_TOKEN.fields_by_name["part_of_speech"].message_type = _PARTOFSPEECH
-_TOKEN.fields_by_name["dependency_edge"].message_type = _DEPENDENCYEDGE
-_PARTOFSPEECH.fields_by_name["tag"].enum_type = _PARTOFSPEECH_TAG
-_PARTOFSPEECH.fields_by_name["aspect"].enum_type = _PARTOFSPEECH_ASPECT
-_PARTOFSPEECH.fields_by_name["case"].enum_type = _PARTOFSPEECH_CASE
-_PARTOFSPEECH.fields_by_name["form"].enum_type = _PARTOFSPEECH_FORM
-_PARTOFSPEECH.fields_by_name["gender"].enum_type = _PARTOFSPEECH_GENDER
-_PARTOFSPEECH.fields_by_name["mood"].enum_type = _PARTOFSPEECH_MOOD
-_PARTOFSPEECH.fields_by_name["number"].enum_type = _PARTOFSPEECH_NUMBER
-_PARTOFSPEECH.fields_by_name["person"].enum_type = _PARTOFSPEECH_PERSON
-_PARTOFSPEECH.fields_by_name["proper"].enum_type = _PARTOFSPEECH_PROPER
-_PARTOFSPEECH.fields_by_name["reciprocity"].enum_type = _PARTOFSPEECH_RECIPROCITY
-_PARTOFSPEECH.fields_by_name["tense"].enum_type = _PARTOFSPEECH_TENSE
-_PARTOFSPEECH.fields_by_name["voice"].enum_type = _PARTOFSPEECH_VOICE
-_PARTOFSPEECH_TAG.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_ASPECT.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_CASE.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_FORM.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_GENDER.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_MOOD.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_NUMBER.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_PERSON.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_PROPER.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_RECIPROCITY.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_TENSE.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_VOICE.containing_type = _PARTOFSPEECH
-_DEPENDENCYEDGE.fields_by_name["label"].enum_type = _DEPENDENCYEDGE_LABEL
-_DEPENDENCYEDGE_LABEL.containing_type = _DEPENDENCYEDGE
-_ENTITYMENTION.fields_by_name["text"].message_type = _TEXTSPAN
-_ENTITYMENTION.fields_by_name["type"].enum_type = _ENTITYMENTION_TYPE
-_ENTITYMENTION.fields_by_name["sentiment"].message_type = _SENTIMENT
-_ENTITYMENTION_TYPE.containing_type = _ENTITYMENTION
-_ANALYZESENTIMENTREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANALYZESENTIMENTREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANALYZESENTIMENTRESPONSE.fields_by_name["document_sentiment"].message_type = _SENTIMENT
-_ANALYZESENTIMENTRESPONSE.fields_by_name["sentences"].message_type = _SENTENCE
-_ANALYZEENTITYSENTIMENTREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANALYZEENTITYSENTIMENTREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANALYZEENTITYSENTIMENTRESPONSE.fields_by_name["entities"].message_type = _ENTITY
-_ANALYZEENTITIESREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANALYZEENTITIESREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANALYZEENTITIESRESPONSE.fields_by_name["entities"].message_type = _ENTITY
-_ANALYZESYNTAXREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANALYZESYNTAXREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANALYZESYNTAXRESPONSE.fields_by_name["sentences"].message_type = _SENTENCE
-_ANALYZESYNTAXRESPONSE.fields_by_name["tokens"].message_type = _TOKEN
-_CLASSIFYTEXTREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_CLASSIFYTEXTRESPONSE.fields_by_name[
-    "categories"
-].message_type = _CLASSIFICATIONCATEGORY
-_ANNOTATETEXTREQUEST_FEATURES.containing_type = _ANNOTATETEXTREQUEST
-_ANNOTATETEXTREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANNOTATETEXTREQUEST.fields_by_name[
-    "features"
-].message_type = _ANNOTATETEXTREQUEST_FEATURES
-_ANNOTATETEXTREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANNOTATETEXTRESPONSE.fields_by_name["sentences"].message_type = _SENTENCE
-_ANNOTATETEXTRESPONSE.fields_by_name["tokens"].message_type = _TOKEN
-_ANNOTATETEXTRESPONSE.fields_by_name["entities"].message_type = _ENTITY
-_ANNOTATETEXTRESPONSE.fields_by_name["document_sentiment"].message_type = _SENTIMENT
-_ANNOTATETEXTRESPONSE.fields_by_name[
-    "categories"
-].message_type = _CLASSIFICATIONCATEGORY
-DESCRIPTOR.message_types_by_name["Document"] = _DOCUMENT
-DESCRIPTOR.message_types_by_name["Sentence"] = _SENTENCE
-DESCRIPTOR.message_types_by_name["Entity"] = _ENTITY
-DESCRIPTOR.message_types_by_name["Token"] = _TOKEN
-DESCRIPTOR.message_types_by_name["Sentiment"] = _SENTIMENT
-DESCRIPTOR.message_types_by_name["PartOfSpeech"] = _PARTOFSPEECH
-DESCRIPTOR.message_types_by_name["DependencyEdge"] = _DEPENDENCYEDGE
-DESCRIPTOR.message_types_by_name["EntityMention"] = _ENTITYMENTION
-DESCRIPTOR.message_types_by_name["TextSpan"] = _TEXTSPAN
-DESCRIPTOR.message_types_by_name["ClassificationCategory"] = _CLASSIFICATIONCATEGORY
-DESCRIPTOR.message_types_by_name["AnalyzeSentimentRequest"] = _ANALYZESENTIMENTREQUEST
-DESCRIPTOR.message_types_by_name["AnalyzeSentimentResponse"] = _ANALYZESENTIMENTRESPONSE
-DESCRIPTOR.message_types_by_name[
-    "AnalyzeEntitySentimentRequest"
-] = _ANALYZEENTITYSENTIMENTREQUEST
-DESCRIPTOR.message_types_by_name[
-    "AnalyzeEntitySentimentResponse"
-] = _ANALYZEENTITYSENTIMENTRESPONSE
-DESCRIPTOR.message_types_by_name["AnalyzeEntitiesRequest"] = _ANALYZEENTITIESREQUEST
-DESCRIPTOR.message_types_by_name["AnalyzeEntitiesResponse"] = _ANALYZEENTITIESRESPONSE
-DESCRIPTOR.message_types_by_name["AnalyzeSyntaxRequest"] = _ANALYZESYNTAXREQUEST
-DESCRIPTOR.message_types_by_name["AnalyzeSyntaxResponse"] = _ANALYZESYNTAXRESPONSE
-DESCRIPTOR.message_types_by_name["ClassifyTextRequest"] = _CLASSIFYTEXTREQUEST
-DESCRIPTOR.message_types_by_name["ClassifyTextResponse"] = _CLASSIFYTEXTRESPONSE
-DESCRIPTOR.message_types_by_name["AnnotateTextRequest"] = _ANNOTATETEXTREQUEST
-DESCRIPTOR.message_types_by_name["AnnotateTextResponse"] = _ANNOTATETEXTRESPONSE
-DESCRIPTOR.enum_types_by_name["EncodingType"] = _ENCODINGTYPE
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-Document = _reflection.GeneratedProtocolMessageType(
-    "Document",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _DOCUMENT,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """################################################################ #
-  Represents the input to API methods.
-  
-  Attributes:
-      type:
-          Required. If the type is not set or is ``TYPE_UNSPECIFIED``,
-          returns an ``INVALID_ARGUMENT`` error.
-      source:
-          The source of the document: a string containing the content or
-          a Google Cloud Storage URI.
-      content:
-          The content of the input in string format. Cloud audit logging
-          exempt since it is based on user data.
-      gcs_content_uri:
-          The Google Cloud Storage URI where the file content is
-          located. This URI must be of the form:
-          gs://bucket_name/object_name. For more details, see
-          https://cloud.google.com/storage/docs/reference-uris. NOTE:
-          Cloud Storage object versioning is not supported.
-      language:
-          The language of the document (if not specified, the language
-          is automatically detected). Both ISO and BCP-47 language codes
-          are accepted. `Language Support
-          <https://cloud.google.com/natural-language/docs/languages>`__
-          lists currently supported languages for each API method. If
-          the language (either specified by the caller or automatically
-          detected) is not supported by the called API method, an
-          ``INVALID_ARGUMENT`` error is returned.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.Document)
-    },
-)
-_sym_db.RegisterMessage(Document)
-
-Sentence = _reflection.GeneratedProtocolMessageType(
-    "Sentence",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _SENTENCE,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """Represents a sentence in the input document.
-  
-  Attributes:
-      text:
-          The sentence text.
-      sentiment:
-          For calls to [AnalyzeSentiment][] or if [AnnotateTextRequest.F
-          eatures.extract_document_sentiment][google.cloud.language.v1.A
-          nnotateTextRequest.Features.extract_document_sentiment] is set
-          to true, this field will contain the sentiment for the
-          sentence.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.Sentence)
-    },
-)
-_sym_db.RegisterMessage(Sentence)
-
-Entity = _reflection.GeneratedProtocolMessageType(
-    "Entity",
-    (_message.Message,),
-    {
-        "MetadataEntry": _reflection.GeneratedProtocolMessageType(
-            "MetadataEntry",
-            (_message.Message,),
-            {
-                "DESCRIPTOR": _ENTITY_METADATAENTRY,
-                "__module__": "google.cloud.language_v1.proto.language_service_pb2"
-                # @@protoc_insertion_point(class_scope:google.cloud.language.v1.Entity.MetadataEntry)
-            },
-        ),
-        "DESCRIPTOR": _ENTITY,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """Represents a phrase in the text that is a known entity, such as a
-  person, an organization, or location. The API associates information,
-  such as salience and mentions, with entities.
-  
-  Attributes:
-      name:
-          The representative name for the entity.
-      type:
-          The entity type.
-      metadata:
-          Metadata associated with the entity.  For most entity types,
-          the metadata is a Wikipedia URL (``wikipedia_url``) and
-          Knowledge Graph MID (``mid``), if they are available. For the
-          metadata associated with other entity types, see the Type
-          table below.
-      salience:
-          The salience score associated with the entity in the [0, 1.0]
-          range.  The salience score for an entity provides information
-          about the importance or centrality of that entity to the
-          entire document text. Scores closer to 0 are less salient,
-          while scores closer to 1.0 are highly salient.
-      mentions:
-          The mentions of this entity in the input document. The API
-          currently supports proper noun mentions.
-      sentiment:
-          For calls to [AnalyzeEntitySentiment][] or if [AnnotateTextReq
-          uest.Features.extract_entity_sentiment][google.cloud.language.
-          v1.AnnotateTextRequest.Features.extract_entity_sentiment] is
-          set to true, this field will contain the aggregate sentiment
-          expressed for this entity in the provided document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.Entity)
-    },
-)
-_sym_db.RegisterMessage(Entity)
-_sym_db.RegisterMessage(Entity.MetadataEntry)
-
-Token = _reflection.GeneratedProtocolMessageType(
-    "Token",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _TOKEN,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """Represents the smallest syntactic building block of the text.
-  
-  Attributes:
-      text:
-          The token text.
-      part_of_speech:
-          Parts of speech tag for this token.
-      dependency_edge:
-          Dependency tree parse for this token.
-      lemma:
-          \ `Lemma
-          <https://en.wikipedia.org/wiki/Lemma_%28morphology%29>`__ of
-          the token.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.Token)
-    },
-)
-_sym_db.RegisterMessage(Token)
-
-Sentiment = _reflection.GeneratedProtocolMessageType(
-    "Sentiment",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _SENTIMENT,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """Represents the feeling associated with the entire text or entities in
-  the text.
-  
-  Attributes:
-      magnitude:
-          A non-negative number in the [0, +inf) range, which represents
-          the absolute magnitude of sentiment regardless of score
-          (positive or negative).
-      score:
-          Sentiment score between -1.0 (negative sentiment) and 1.0
-          (positive sentiment).
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.Sentiment)
-    },
-)
-_sym_db.RegisterMessage(Sentiment)
-
-PartOfSpeech = _reflection.GeneratedProtocolMessageType(
-    "PartOfSpeech",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _PARTOFSPEECH,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """Represents part of speech information for a token. Parts of speech are
-  as defined in http://www.lrec-
-  conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
-  
-  Attributes:
-      tag:
-          The part of speech tag.
-      aspect:
-          The grammatical aspect.
-      case:
-          The grammatical case.
-      form:
-          The grammatical form.
-      gender:
-          The grammatical gender.
-      mood:
-          The grammatical mood.
-      number:
-          The grammatical number.
-      person:
-          The grammatical person.
-      proper:
-          The grammatical properness.
-      reciprocity:
-          The grammatical reciprocity.
-      tense:
-          The grammatical tense.
-      voice:
-          The grammatical voice.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.PartOfSpeech)
-    },
-)
-_sym_db.RegisterMessage(PartOfSpeech)
-
-DependencyEdge = _reflection.GeneratedProtocolMessageType(
-    "DependencyEdge",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _DEPENDENCYEDGE,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """Represents dependency parse tree information for a token. (For more
-  information on dependency labels, see
-  http://www.aclweb.org/anthology/P13-2017
-  
-  Attributes:
-      head_token_index:
-          Represents the head of this token in the dependency tree. This
-          is the index of the token which has an arc going to this
-          token. The index is the position of the token in the array of
-          tokens returned by the API method. If this token is a root
-          token, then the ``head_token_index`` is its own index.
-      label:
-          The parse label for the token.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.DependencyEdge)
-    },
-)
-_sym_db.RegisterMessage(DependencyEdge)
-
-EntityMention = _reflection.GeneratedProtocolMessageType(
-    "EntityMention",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ENTITYMENTION,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """Represents a mention for an entity in the text. Currently, proper noun
-  mentions are supported.
-  
-  Attributes:
-      text:
-          The mention text.
-      type:
-          The type of the entity mention.
-      sentiment:
-          For calls to [AnalyzeEntitySentiment][] or if [AnnotateTextReq
-          uest.Features.extract_entity_sentiment][google.cloud.language.
-          v1.AnnotateTextRequest.Features.extract_entity_sentiment] is
-          set to true, this field will contain the sentiment expressed
-          for this mention of the entity in the provided document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.EntityMention)
-    },
-)
-_sym_db.RegisterMessage(EntityMention)
-
-TextSpan = _reflection.GeneratedProtocolMessageType(
-    "TextSpan",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _TEXTSPAN,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """Represents an output piece of text.
-  
-  Attributes:
-      content:
-          The content of the output text.
-      begin_offset:
-          The API calculates the beginning offset of the content in the
-          original document according to the
-          [EncodingType][google.cloud.language.v1.EncodingType]
-          specified in the API request.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.TextSpan)
-    },
-)
-_sym_db.RegisterMessage(TextSpan)
-
-ClassificationCategory = _reflection.GeneratedProtocolMessageType(
-    "ClassificationCategory",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _CLASSIFICATIONCATEGORY,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """Represents a category returned from the text classifier.
-  
-  Attributes:
-      name:
-          The name of the category representing the document, from the
-          `predefined taxonomy <https://cloud.google.com/natural-
-          language/docs/categories>`__.
-      confidence:
-          The classifier’s confidence of the category. Number represents
-          how certain the classifier is that this category represents
-          the given text.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.ClassificationCategory)
-    },
-)
-_sym_db.RegisterMessage(ClassificationCategory)
-
-AnalyzeSentimentRequest = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeSentimentRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZESENTIMENTREQUEST,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The sentiment analysis request message.
-  
-  Attributes:
-      document:
-          Input document.
-      encoding_type:
-          The encoding type used by the API to calculate sentence
-          offsets.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnalyzeSentimentRequest)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeSentimentRequest)
-
-AnalyzeSentimentResponse = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeSentimentResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZESENTIMENTRESPONSE,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The sentiment analysis response message.
-  
-  Attributes:
-      document_sentiment:
-          The overall sentiment of the input document.
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1.Document.language] field for more details.
-      sentences:
-          The sentiment for all the sentences in the document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnalyzeSentimentResponse)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeSentimentResponse)
-
-AnalyzeEntitySentimentRequest = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeEntitySentimentRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZEENTITYSENTIMENTREQUEST,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The entity-level sentiment analysis request message.
-  
-  Attributes:
-      document:
-          Input document.
-      encoding_type:
-          The encoding type used by the API to calculate offsets.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnalyzeEntitySentimentRequest)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeEntitySentimentRequest)
-
-AnalyzeEntitySentimentResponse = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeEntitySentimentResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZEENTITYSENTIMENTRESPONSE,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The entity-level sentiment analysis response message.
-  
-  Attributes:
-      entities:
-          The recognized entities in the input document with associated
-          sentiments.
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1.Document.language] field for more details.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnalyzeEntitySentimentResponse)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeEntitySentimentResponse)
-
-AnalyzeEntitiesRequest = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeEntitiesRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZEENTITIESREQUEST,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The entity analysis request message.
-  
-  Attributes:
-      document:
-          Input document.
-      encoding_type:
-          The encoding type used by the API to calculate offsets.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnalyzeEntitiesRequest)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeEntitiesRequest)
-
-AnalyzeEntitiesResponse = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeEntitiesResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZEENTITIESRESPONSE,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The entity analysis response message.
-  
-  Attributes:
-      entities:
-          The recognized entities in the input document.
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1.Document.language] field for more details.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnalyzeEntitiesResponse)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeEntitiesResponse)
-
-AnalyzeSyntaxRequest = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeSyntaxRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZESYNTAXREQUEST,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The syntax analysis request message.
-  
-  Attributes:
-      document:
-          Input document.
-      encoding_type:
-          The encoding type used by the API to calculate offsets.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnalyzeSyntaxRequest)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeSyntaxRequest)
-
-AnalyzeSyntaxResponse = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeSyntaxResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZESYNTAXRESPONSE,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The syntax analysis response message.
-  
-  Attributes:
-      sentences:
-          Sentences in the input document.
-      tokens:
-          Tokens, along with their syntactic information, in the input
-          document.
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1.Document.language] field for more details.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnalyzeSyntaxResponse)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeSyntaxResponse)
-
-ClassifyTextRequest = _reflection.GeneratedProtocolMessageType(
-    "ClassifyTextRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _CLASSIFYTEXTREQUEST,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The document classification request message.
-  
-  Attributes:
-      document:
-          Input document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.ClassifyTextRequest)
-    },
-)
-_sym_db.RegisterMessage(ClassifyTextRequest)
-
-ClassifyTextResponse = _reflection.GeneratedProtocolMessageType(
-    "ClassifyTextResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _CLASSIFYTEXTRESPONSE,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The document classification response message.
-  
-  Attributes:
-      categories:
-          Categories representing the input document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.ClassifyTextResponse)
-    },
-)
-_sym_db.RegisterMessage(ClassifyTextResponse)
-
-AnnotateTextRequest = _reflection.GeneratedProtocolMessageType(
-    "AnnotateTextRequest",
-    (_message.Message,),
-    {
-        "Features": _reflection.GeneratedProtocolMessageType(
-            "Features",
-            (_message.Message,),
-            {
-                "DESCRIPTOR": _ANNOTATETEXTREQUEST_FEATURES,
-                "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-                "__doc__": """All available features for sentiment, syntax, and semantic analysis.
-    Setting each one to true will enable that specific analysis for the
-    input.
-    
-    Attributes:
-        extract_syntax:
-            Extract syntax information.
-        extract_entities:
-            Extract entities.
-        extract_document_sentiment:
-            Extract document-level sentiment.
-        extract_entity_sentiment:
-            Extract entities and their associated sentiment.
-        classify_text:
-            Classify the full document into categories.
-    """,
-                # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnnotateTextRequest.Features)
-            },
-        ),
-        "DESCRIPTOR": _ANNOTATETEXTREQUEST,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The request message for the text annotation API, which can perform
-  multiple analysis types (sentiment, entities, and syntax) in one call.
-  
-  Attributes:
-      document:
-          Input document.
-      features:
-          The enabled features.
-      encoding_type:
-          The encoding type used by the API to calculate offsets.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnnotateTextRequest)
-    },
-)
-_sym_db.RegisterMessage(AnnotateTextRequest)
-_sym_db.RegisterMessage(AnnotateTextRequest.Features)
-
-AnnotateTextResponse = _reflection.GeneratedProtocolMessageType(
-    "AnnotateTextResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANNOTATETEXTRESPONSE,
-        "__module__": "google.cloud.language_v1.proto.language_service_pb2",
-        "__doc__": """The text annotations response message.
-  
-  Attributes:
-      sentences:
-          Sentences in the input document. Populated if the user enables
-          [AnnotateTextRequest.Features.extract_syntax][google.cloud.lan
-          guage.v1.AnnotateTextRequest.Features.extract_syntax].
-      tokens:
-          Tokens, along with their syntactic information, in the input
-          document. Populated if the user enables [AnnotateTextRequest.F
-          eatures.extract_syntax][google.cloud.language.v1.AnnotateTextR
-          equest.Features.extract_syntax].
-      entities:
-          Entities, along with their semantic information, in the input
-          document. Populated if the user enables [AnnotateTextRequest.F
-          eatures.extract_entities][google.cloud.language.v1.AnnotateTex
-          tRequest.Features.extract_entities].
-      document_sentiment:
-          The overall sentiment for the document. Populated if the user
-          enables [AnnotateTextRequest.Features.extract_document_sentime
-          nt][google.cloud.language.v1.AnnotateTextRequest.Features.extr
-          act_document_sentiment].
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1.Document.language] field for more details.
-      categories:
-          Categories identified in the input document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1.AnnotateTextResponse)
-    },
-)
-_sym_db.RegisterMessage(AnnotateTextResponse)
-
-
-DESCRIPTOR._options = None
-_ENTITY_METADATAENTRY._options = None
-_ANALYZESENTIMENTREQUEST.fields_by_name["document"]._options = None
-_ANALYZEENTITYSENTIMENTREQUEST.fields_by_name["document"]._options = None
-_ANALYZEENTITIESREQUEST.fields_by_name["document"]._options = None
-_ANALYZESYNTAXREQUEST.fields_by_name["document"]._options = None
-_CLASSIFYTEXTREQUEST.fields_by_name["document"]._options = None
-_ANNOTATETEXTREQUEST.fields_by_name["document"]._options = None
-_ANNOTATETEXTREQUEST.fields_by_name["features"]._options = None
-
-_LANGUAGESERVICE = _descriptor.ServiceDescriptor(
-    name="LanguageService",
-    full_name="google.cloud.language.v1.LanguageService",
-    file=DESCRIPTOR,
-    index=0,
-    serialized_options=b"\312A\027language.googleapis.com\322A]https://www.googleapis.com/auth/cloud-language,https://www.googleapis.com/auth/cloud-platform",
-    create_key=_descriptor._internal_create_key,
-    serialized_start=6801,
-    serialized_end=8129,
-    methods=[
-        _descriptor.MethodDescriptor(
-            name="AnalyzeSentiment",
-            full_name="google.cloud.language.v1.LanguageService.AnalyzeSentiment",
-            index=0,
-            containing_service=None,
-            input_type=_ANALYZESENTIMENTREQUEST,
-            output_type=_ANALYZESENTIMENTRESPONSE,
-            serialized_options=b'\202\323\344\223\002#"\036/v1/documents:analyzeSentiment:\001*\332A\026document,encoding_type\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="AnalyzeEntities",
-            full_name="google.cloud.language.v1.LanguageService.AnalyzeEntities",
-            index=1,
-            containing_service=None,
-            input_type=_ANALYZEENTITIESREQUEST,
-            output_type=_ANALYZEENTITIESRESPONSE,
-            serialized_options=b'\202\323\344\223\002""\035/v1/documents:analyzeEntities:\001*\332A\026document,encoding_type\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="AnalyzeEntitySentiment",
-            full_name="google.cloud.language.v1.LanguageService.AnalyzeEntitySentiment",
-            index=2,
-            containing_service=None,
-            input_type=_ANALYZEENTITYSENTIMENTREQUEST,
-            output_type=_ANALYZEENTITYSENTIMENTRESPONSE,
-            serialized_options=b'\202\323\344\223\002)"$/v1/documents:analyzeEntitySentiment:\001*\332A\026document,encoding_type\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="AnalyzeSyntax",
-            full_name="google.cloud.language.v1.LanguageService.AnalyzeSyntax",
-            index=3,
-            containing_service=None,
-            input_type=_ANALYZESYNTAXREQUEST,
-            output_type=_ANALYZESYNTAXRESPONSE,
-            serialized_options=b'\202\323\344\223\002 "\033/v1/documents:analyzeSyntax:\001*\332A\026document,encoding_type\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="ClassifyText",
-            full_name="google.cloud.language.v1.LanguageService.ClassifyText",
-            index=4,
-            containing_service=None,
-            input_type=_CLASSIFYTEXTREQUEST,
-            output_type=_CLASSIFYTEXTRESPONSE,
-            serialized_options=b'\202\323\344\223\002\037"\032/v1/documents:classifyText:\001*\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="AnnotateText",
-            full_name="google.cloud.language.v1.LanguageService.AnnotateText",
-            index=5,
-            containing_service=None,
-            input_type=_ANNOTATETEXTREQUEST,
-            output_type=_ANNOTATETEXTRESPONSE,
-            serialized_options=b'\202\323\344\223\002\037"\032/v1/documents:annotateText:\001*\332A\037document,features,encoding_type\332A\021document,features',
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-)
-_sym_db.RegisterServiceDescriptor(_LANGUAGESERVICE)
-
-DESCRIPTOR.services_by_name["LanguageService"] = _LANGUAGESERVICE
-
-# @@protoc_insertion_point(module_scope)
diff --git a/google/cloud/language_v1/proto/language_service_pb2_grpc.py b/google/cloud/language_v1/proto/language_service_pb2_grpc.py
deleted file mode 100644
index 40a7da30..00000000
--- a/google/cloud/language_v1/proto/language_service_pb2_grpc.py
+++ /dev/null
@@ -1,142 +0,0 @@
-# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
-import grpc
-
-from google.cloud.language_v1.proto import (
-    language_service_pb2 as google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2,
-)
-
-
-class LanguageServiceStub(object):
-    """Provides text analysis operations such as sentiment analysis and entity
-  recognition.
-  """
-
-    def __init__(self, channel):
-        """Constructor.
-
-    Args:
-      channel: A grpc.Channel.
-    """
-        self.AnalyzeSentiment = channel.unary_unary(
-            "/google.cloud.language.v1.LanguageService/AnalyzeSentiment",
-            request_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeSentimentRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeSentimentResponse.FromString,
-        )
-        self.AnalyzeEntities = channel.unary_unary(
-            "/google.cloud.language.v1.LanguageService/AnalyzeEntities",
-            request_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeEntitiesRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeEntitiesResponse.FromString,
-        )
-        self.AnalyzeEntitySentiment = channel.unary_unary(
-            "/google.cloud.language.v1.LanguageService/AnalyzeEntitySentiment",
-            request_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeEntitySentimentRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeEntitySentimentResponse.FromString,
-        )
-        self.AnalyzeSyntax = channel.unary_unary(
-            "/google.cloud.language.v1.LanguageService/AnalyzeSyntax",
-            request_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeSyntaxRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeSyntaxResponse.FromString,
-        )
-        self.ClassifyText = channel.unary_unary(
-            "/google.cloud.language.v1.LanguageService/ClassifyText",
-            request_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.ClassifyTextRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.ClassifyTextResponse.FromString,
-        )
-        self.AnnotateText = channel.unary_unary(
-            "/google.cloud.language.v1.LanguageService/AnnotateText",
-            request_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnnotateTextRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnnotateTextResponse.FromString,
-        )
-
-
-class LanguageServiceServicer(object):
-    """Provides text analysis operations such as sentiment analysis and entity
-  recognition.
-  """
-
-    def AnalyzeSentiment(self, request, context):
-        """Analyzes the sentiment of the provided text.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def AnalyzeEntities(self, request, context):
-        """Finds named entities (currently proper names and common nouns) in the text
-    along with entity types, salience, mentions for each entity, and
-    other properties.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def AnalyzeEntitySentiment(self, request, context):
-        """Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1.LanguageService.AnalyzeEntities] in the text and analyzes
-    sentiment associated with each entity and its mentions.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def AnalyzeSyntax(self, request, context):
-        """Analyzes the syntax of the text and provides sentence boundaries and
-    tokenization along with part of speech tags, dependency trees, and other
-    properties.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def ClassifyText(self, request, context):
-        """Classifies a document into categories.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def AnnotateText(self, request, context):
-        """A convenience method that provides all the features that analyzeSentiment,
-    analyzeEntities, and analyzeSyntax provide in one call.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-
-def add_LanguageServiceServicer_to_server(servicer, server):
-    rpc_method_handlers = {
-        "AnalyzeSentiment": grpc.unary_unary_rpc_method_handler(
-            servicer.AnalyzeSentiment,
-            request_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeSentimentRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeSentimentResponse.SerializeToString,
-        ),
-        "AnalyzeEntities": grpc.unary_unary_rpc_method_handler(
-            servicer.AnalyzeEntities,
-            request_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeEntitiesRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeEntitiesResponse.SerializeToString,
-        ),
-        "AnalyzeEntitySentiment": grpc.unary_unary_rpc_method_handler(
-            servicer.AnalyzeEntitySentiment,
-            request_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeEntitySentimentRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeEntitySentimentResponse.SerializeToString,
-        ),
-        "AnalyzeSyntax": grpc.unary_unary_rpc_method_handler(
-            servicer.AnalyzeSyntax,
-            request_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeSyntaxRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnalyzeSyntaxResponse.SerializeToString,
-        ),
-        "ClassifyText": grpc.unary_unary_rpc_method_handler(
-            servicer.ClassifyText,
-            request_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.ClassifyTextRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.ClassifyTextResponse.SerializeToString,
-        ),
-        "AnnotateText": grpc.unary_unary_rpc_method_handler(
-            servicer.AnnotateText,
-            request_deserializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnnotateTextRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1_dot_proto_dot_language__service__pb2.AnnotateTextResponse.SerializeToString,
-        ),
-    }
-    generic_handler = grpc.method_handlers_generic_handler(
-        "google.cloud.language.v1.LanguageService", rpc_method_handlers
-    )
-    server.add_generic_rpc_handlers((generic_handler,))
diff --git a/google/cloud/language_v1/types.py b/google/cloud/language_v1/types.py
deleted file mode 100644
index 75882942..00000000
--- a/google/cloud/language_v1/types.py
+++ /dev/null
@@ -1,42 +0,0 @@
-# Copyright 2017, Google LLC All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import absolute_import
-import sys
-
-from google.api import http_pb2
-from google.protobuf import descriptor_pb2
-
-from google.api_core.protobuf_helpers import get_messages
-from google.cloud.language_v1.proto import language_service_pb2
-
-
-_shared_modules = [http_pb2, descriptor_pb2]
-
-_local_modules = [language_service_pb2]
-
-names = []
-
-for module in _shared_modules:
-    for name, message in get_messages(module).items():
-        setattr(sys.modules[__name__], name, message)
-        names.append(name)
-
-for module in _local_modules:
-    for name, message in get_messages(module).items():
-        message.__module__ = "google.cloud.language_v1.types"
-        setattr(sys.modules[__name__], name, message)
-        names.append(name)
-
-__all__ = tuple(sorted(names))
diff --git a/google/cloud/language_v1beta2/__init__.py b/google/cloud/language_v1beta2/__init__.py
deleted file mode 100644
index d980c998..00000000
--- a/google/cloud/language_v1beta2/__init__.py
+++ /dev/null
@@ -1,27 +0,0 @@
-# Copyright 2017, Google LLC All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import absolute_import
-
-from google.cloud.language_v1beta2 import types
-from google.cloud.language_v1beta2.gapic import enums
-from google.cloud.language_v1beta2.gapic import language_service_client
-
-
-class LanguageServiceClient(language_service_client.LanguageServiceClient):
-    __doc__ = language_service_client.LanguageServiceClient.__doc__
-    enums = enums
-
-
-__all__ = ("enums", "types", "LanguageServiceClient")
diff --git a/google/cloud/language_v1beta2/gapic/__init__.py b/google/cloud/language_v1beta2/gapic/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/google/cloud/language_v1beta2/gapic/enums.py b/google/cloud/language_v1beta2/gapic/enums.py
deleted file mode 100644
index f6a7be9e..00000000
--- a/google/cloud/language_v1beta2/gapic/enums.py
+++ /dev/null
@@ -1,598 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Wrappers for protocol buffer enum types."""
-
-import enum
-
-
-class EncodingType(enum.IntEnum):
-    """
-    Represents the text encoding that the caller uses to process the
-    output. Providing an ``EncodingType`` is recommended because the API
-    provides the beginning offsets for various outputs, such as tokens and
-    mentions, and languages that natively use different text encodings may
-    access offsets differently.
-
-    Attributes:
-      NONE (int): If ``EncodingType`` is not specified, encoding-dependent information
-      (such as ``begin_offset``) will be set at ``-1``.
-      UTF8 (int): Encoding-dependent information (such as ``begin_offset``) is
-      calculated based on the UTF-8 encoding of the input. C++ and Go are
-      examples of languages that use this encoding natively.
-      UTF16 (int): Encoding-dependent information (such as ``begin_offset``) is
-      calculated based on the UTF-16 encoding of the input. Java and
-      JavaScript are examples of languages that use this encoding natively.
-      UTF32 (int): Encoding-dependent information (such as ``begin_offset``) is
-      calculated based on the UTF-32 encoding of the input. Python is an
-      example of a language that uses this encoding natively.
-    """
-
-    NONE = 0
-    UTF8 = 1
-    UTF16 = 2
-    UTF32 = 3
-
-
-class DependencyEdge(object):
-    class Label(enum.IntEnum):
-        """
-        The parse label enum for the token.
-
-        Attributes:
-          UNKNOWN (int): Unknown
-          ABBREV (int): Abbreviation modifier
-          ACOMP (int): Adjectival complement
-          ADVCL (int): Adverbial clause modifier
-          ADVMOD (int): Adverbial modifier
-          AMOD (int): Adjectival modifier of an NP
-          APPOS (int): Appositional modifier of an NP
-          ATTR (int): Attribute dependent of a copular verb
-          AUX (int): Auxiliary (non-main) verb
-          AUXPASS (int): Passive auxiliary
-          CC (int): Coordinating conjunction
-          CCOMP (int): Clausal complement of a verb or adjective
-          CONJ (int): Conjunct
-          CSUBJ (int): Clausal subject
-          CSUBJPASS (int): Clausal passive subject
-          DEP (int): Dependency (unable to determine)
-          DET (int): Determiner
-          DISCOURSE (int): Discourse
-          DOBJ (int): Direct object
-          EXPL (int): Expletive
-          GOESWITH (int): Goes with (part of a word in a text not well edited)
-          IOBJ (int): Indirect object
-          MARK (int): Marker (word introducing a subordinate clause)
-          MWE (int): Multi-word expression
-          MWV (int): Multi-word verbal expression
-          NEG (int): Negation modifier
-          NN (int): Noun compound modifier
-          NPADVMOD (int): Noun phrase used as an adverbial modifier
-          NSUBJ (int): Nominal subject
-          NSUBJPASS (int): Passive nominal subject
-          NUM (int): Numeric modifier of a noun
-          NUMBER (int): Element of compound number
-          P (int): Punctuation mark
-          PARATAXIS (int): Parataxis relation
-          PARTMOD (int): Participial modifier
-          PCOMP (int): The complement of a preposition is a clause
-          POBJ (int): Object of a preposition
-          POSS (int): Possession modifier
-          POSTNEG (int): Postverbal negative particle
-          PRECOMP (int): Predicate complement
-          PRECONJ (int): Preconjunt
-          PREDET (int): Predeterminer
-          PREF (int): Prefix
-          PREP (int): Prepositional modifier
-          PRONL (int): The relationship between a verb and verbal morpheme
-          PRT (int): Particle
-          PS (int): Associative or possessive marker
-          QUANTMOD (int): Quantifier phrase modifier
-          RCMOD (int): Relative clause modifier
-          RCMODREL (int): Complementizer in relative clause
-          RDROP (int): Ellipsis without a preceding predicate
-          REF (int): Referent
-          REMNANT (int): Remnant
-          REPARANDUM (int): Reparandum
-          ROOT (int): Root
-          SNUM (int): Suffix specifying a unit of number
-          SUFF (int): Suffix
-          TMOD (int): Temporal modifier
-          TOPIC (int): Topic marker
-          VMOD (int): Clause headed by an infinite form of the verb that modifies a noun
-          VOCATIVE (int): Vocative
-          XCOMP (int): Open clausal complement
-          SUFFIX (int): Name suffix
-          TITLE (int): Name title
-          ADVPHMOD (int): Adverbial phrase modifier
-          AUXCAUS (int): Causative auxiliary
-          AUXVV (int): Helper auxiliary
-          DTMOD (int): Rentaishi (Prenominal modifier)
-          FOREIGN (int): Foreign words
-          KW (int): Keyword
-          LIST (int): List for chains of comparable items
-          NOMC (int): Nominalized clause
-          NOMCSUBJ (int): Nominalized clausal subject
-          NOMCSUBJPASS (int): Nominalized clausal passive
-          NUMC (int): Compound of numeric modifier
-          COP (int): Copula
-          DISLOCATED (int): Dislocated relation (for fronted/topicalized elements)
-          ASP (int): Aspect marker
-          GMOD (int): Genitive modifier
-          GOBJ (int): Genitive object
-          INFMOD (int): Infinitival modifier
-          MES (int): Measure
-          NCOMP (int): Nominal complement of a noun
-        """
-
-        UNKNOWN = 0
-        ABBREV = 1
-        ACOMP = 2
-        ADVCL = 3
-        ADVMOD = 4
-        AMOD = 5
-        APPOS = 6
-        ATTR = 7
-        AUX = 8
-        AUXPASS = 9
-        CC = 10
-        CCOMP = 11
-        CONJ = 12
-        CSUBJ = 13
-        CSUBJPASS = 14
-        DEP = 15
-        DET = 16
-        DISCOURSE = 17
-        DOBJ = 18
-        EXPL = 19
-        GOESWITH = 20
-        IOBJ = 21
-        MARK = 22
-        MWE = 23
-        MWV = 24
-        NEG = 25
-        NN = 26
-        NPADVMOD = 27
-        NSUBJ = 28
-        NSUBJPASS = 29
-        NUM = 30
-        NUMBER = 31
-        P = 32
-        PARATAXIS = 33
-        PARTMOD = 34
-        PCOMP = 35
-        POBJ = 36
-        POSS = 37
-        POSTNEG = 38
-        PRECOMP = 39
-        PRECONJ = 40
-        PREDET = 41
-        PREF = 42
-        PREP = 43
-        PRONL = 44
-        PRT = 45
-        PS = 46
-        QUANTMOD = 47
-        RCMOD = 48
-        RCMODREL = 49
-        RDROP = 50
-        REF = 51
-        REMNANT = 52
-        REPARANDUM = 53
-        ROOT = 54
-        SNUM = 55
-        SUFF = 56
-        TMOD = 57
-        TOPIC = 58
-        VMOD = 59
-        VOCATIVE = 60
-        XCOMP = 61
-        SUFFIX = 62
-        TITLE = 63
-        ADVPHMOD = 64
-        AUXCAUS = 65
-        AUXVV = 66
-        DTMOD = 67
-        FOREIGN = 68
-        KW = 69
-        LIST = 70
-        NOMC = 71
-        NOMCSUBJ = 72
-        NOMCSUBJPASS = 73
-        NUMC = 74
-        COP = 75
-        DISLOCATED = 76
-        ASP = 77
-        GMOD = 78
-        GOBJ = 79
-        INFMOD = 80
-        MES = 81
-        NCOMP = 82
-
-
-class Document(object):
-    class Type(enum.IntEnum):
-        """
-        The document types enum.
-
-        Attributes:
-          TYPE_UNSPECIFIED (int): The content type is not specified.
-          PLAIN_TEXT (int): Plain text
-          HTML (int): HTML
-        """
-
-        TYPE_UNSPECIFIED = 0
-        PLAIN_TEXT = 1
-        HTML = 2
-
-
-class Entity(object):
-    class Type(enum.IntEnum):
-        """
-        The type of the entity. For most entity types, the associated
-        metadata is a Wikipedia URL (``wikipedia_url``) and Knowledge Graph MID
-        (``mid``). The table below lists the associated fields for entities that
-        have different metadata.
-
-        Attributes:
-          UNKNOWN (int): Unknown
-          PERSON (int): Person
-          LOCATION (int): Location
-          ORGANIZATION (int): Organization
-          EVENT (int): Event
-          WORK_OF_ART (int): Artwork
-          CONSUMER_GOOD (int): Consumer product
-          OTHER (int): Other types of entities
-          PHONE_NUMBER (int): Phone number
-
-          The metadata lists the phone number, formatted according to local
-          convention, plus whichever additional elements appear in the text:
-
-          -  ``number`` - the actual number, broken down into sections as per
-             local convention
-          -  ``national_prefix`` - country code, if detected
-          -  ``area_code`` - region or area code, if detected
-          -  ``extension`` - phone extension (to be dialed after connection), if
-             detected
-          ADDRESS (int): Address
-
-          The metadata identifies the street number and locality plus whichever
-          additional elements appear in the text:
-
-          -  ``street_number`` - street number
-          -  ``locality`` - city or town
-          -  ``street_name`` - street/route name, if detected
-          -  ``postal_code`` - postal code, if detected
-          -  ``country`` - country, if detected<
-          -  ``broad_region`` - administrative area, such as the state, if
-             detected
-          -  ``narrow_region`` - smaller administrative area, such as county, if
-             detected
-          -  ``sublocality`` - used in Asian addresses to demark a district within
-             a city, if detected
-          DATE (int): Date
-
-          The metadata identifies the components of the date:
-
-          -  ``year`` - four digit year, if detected
-          -  ``month`` - two digit month number, if detected
-          -  ``day`` - two digit day number, if detected
-          NUMBER (int): Number
-
-          The metadata is the number itself.
-          PRICE (int): Price
-
-          The metadata identifies the ``value`` and ``currency``.
-        """
-
-        UNKNOWN = 0
-        PERSON = 1
-        LOCATION = 2
-        ORGANIZATION = 3
-        EVENT = 4
-        WORK_OF_ART = 5
-        CONSUMER_GOOD = 6
-        OTHER = 7
-        PHONE_NUMBER = 9
-        ADDRESS = 10
-        DATE = 11
-        NUMBER = 12
-        PRICE = 13
-
-
-class EntityMention(object):
-    class Type(enum.IntEnum):
-        """
-        The supported types of mentions.
-
-        Attributes:
-          TYPE_UNKNOWN (int): Unknown
-          PROPER (int): Proper name
-          COMMON (int): Common noun (or noun compound)
-        """
-
-        TYPE_UNKNOWN = 0
-        PROPER = 1
-        COMMON = 2
-
-
-class PartOfSpeech(object):
-    class Aspect(enum.IntEnum):
-        """
-        The characteristic of a verb that expresses time flow during an event.
-
-        Attributes:
-          ASPECT_UNKNOWN (int): Aspect is not applicable in the analyzed language or is not predicted.
-          PERFECTIVE (int): Perfective
-          IMPERFECTIVE (int): Imperfective
-          PROGRESSIVE (int): Progressive
-        """
-
-        ASPECT_UNKNOWN = 0
-        PERFECTIVE = 1
-        IMPERFECTIVE = 2
-        PROGRESSIVE = 3
-
-    class Case(enum.IntEnum):
-        """
-        The grammatical function performed by a noun or pronoun in a phrase,
-        clause, or sentence. In some languages, other parts of speech, such as
-        adjective and determiner, take case inflection in agreement with the noun.
-
-        Attributes:
-          CASE_UNKNOWN (int): Case is not applicable in the analyzed language or is not predicted.
-          ACCUSATIVE (int): Accusative
-          ADVERBIAL (int): Adverbial
-          COMPLEMENTIVE (int): Complementive
-          DATIVE (int): Dative
-          GENITIVE (int): Genitive
-          INSTRUMENTAL (int): Instrumental
-          LOCATIVE (int): Locative
-          NOMINATIVE (int): Nominative
-          OBLIQUE (int): Oblique
-          PARTITIVE (int): Partitive
-          PREPOSITIONAL (int): Prepositional
-          REFLEXIVE_CASE (int): Reflexive
-          RELATIVE_CASE (int): Relative
-          VOCATIVE (int): Vocative
-        """
-
-        CASE_UNKNOWN = 0
-        ACCUSATIVE = 1
-        ADVERBIAL = 2
-        COMPLEMENTIVE = 3
-        DATIVE = 4
-        GENITIVE = 5
-        INSTRUMENTAL = 6
-        LOCATIVE = 7
-        NOMINATIVE = 8
-        OBLIQUE = 9
-        PARTITIVE = 10
-        PREPOSITIONAL = 11
-        REFLEXIVE_CASE = 12
-        RELATIVE_CASE = 13
-        VOCATIVE = 14
-
-    class Form(enum.IntEnum):
-        """
-        Depending on the language, Form can be categorizing different forms of
-        verbs, adjectives, adverbs, etc. For example, categorizing inflected
-        endings of verbs and adjectives or distinguishing between short and long
-        forms of adjectives and participles
-
-        Attributes:
-          FORM_UNKNOWN (int): Form is not applicable in the analyzed language or is not predicted.
-          ADNOMIAL (int): Adnomial
-          AUXILIARY (int): Auxiliary
-          COMPLEMENTIZER (int): Complementizer
-          FINAL_ENDING (int): Final ending
-          GERUND (int): Gerund
-          REALIS (int): Realis
-          IRREALIS (int): Irrealis
-          SHORT (int): Short form
-          LONG (int): Long form
-          ORDER (int): Order form
-          SPECIFIC (int): Specific form
-        """
-
-        FORM_UNKNOWN = 0
-        ADNOMIAL = 1
-        AUXILIARY = 2
-        COMPLEMENTIZER = 3
-        FINAL_ENDING = 4
-        GERUND = 5
-        REALIS = 6
-        IRREALIS = 7
-        SHORT = 8
-        LONG = 9
-        ORDER = 10
-        SPECIFIC = 11
-
-    class Gender(enum.IntEnum):
-        """
-        Gender classes of nouns reflected in the behaviour of associated words.
-
-        Attributes:
-          GENDER_UNKNOWN (int): Gender is not applicable in the analyzed language or is not predicted.
-          FEMININE (int): Feminine
-          MASCULINE (int): Masculine
-          NEUTER (int): Neuter
-        """
-
-        GENDER_UNKNOWN = 0
-        FEMININE = 1
-        MASCULINE = 2
-        NEUTER = 3
-
-    class Mood(enum.IntEnum):
-        """
-        The grammatical feature of verbs, used for showing modality and attitude.
-
-        Attributes:
-          MOOD_UNKNOWN (int): Mood is not applicable in the analyzed language or is not predicted.
-          CONDITIONAL_MOOD (int): Conditional
-          IMPERATIVE (int): Imperative
-          INDICATIVE (int): Indicative
-          INTERROGATIVE (int): Interrogative
-          JUSSIVE (int): Jussive
-          SUBJUNCTIVE (int): Subjunctive
-        """
-
-        MOOD_UNKNOWN = 0
-        CONDITIONAL_MOOD = 1
-        IMPERATIVE = 2
-        INDICATIVE = 3
-        INTERROGATIVE = 4
-        JUSSIVE = 5
-        SUBJUNCTIVE = 6
-
-    class Number(enum.IntEnum):
-        """
-        Count distinctions.
-
-        Attributes:
-          NUMBER_UNKNOWN (int): Number is not applicable in the analyzed language or is not predicted.
-          SINGULAR (int): Singular
-          PLURAL (int): Plural
-          DUAL (int): Dual
-        """
-
-        NUMBER_UNKNOWN = 0
-        SINGULAR = 1
-        PLURAL = 2
-        DUAL = 3
-
-    class Person(enum.IntEnum):
-        """
-        The distinction between the speaker, second person, third person, etc.
-
-        Attributes:
-          PERSON_UNKNOWN (int): Person is not applicable in the analyzed language or is not predicted.
-          FIRST (int): First
-          SECOND (int): Second
-          THIRD (int): Third
-          REFLEXIVE_PERSON (int): Reflexive
-        """
-
-        PERSON_UNKNOWN = 0
-        FIRST = 1
-        SECOND = 2
-        THIRD = 3
-        REFLEXIVE_PERSON = 4
-
-    class Proper(enum.IntEnum):
-        """
-        This category shows if the token is part of a proper name.
-
-        Attributes:
-          PROPER_UNKNOWN (int): Proper is not applicable in the analyzed language or is not predicted.
-          PROPER (int): Proper
-          NOT_PROPER (int): Not proper
-        """
-
-        PROPER_UNKNOWN = 0
-        PROPER = 1
-        NOT_PROPER = 2
-
-    class Reciprocity(enum.IntEnum):
-        """
-        Reciprocal features of a pronoun.
-
-        Attributes:
-          RECIPROCITY_UNKNOWN (int): Reciprocity is not applicable in the analyzed language or is not
-          predicted.
-          RECIPROCAL (int): Reciprocal
-          NON_RECIPROCAL (int): Non-reciprocal
-        """
-
-        RECIPROCITY_UNKNOWN = 0
-        RECIPROCAL = 1
-        NON_RECIPROCAL = 2
-
-    class Tag(enum.IntEnum):
-        """
-        The part of speech tags enum.
-
-        Attributes:
-          UNKNOWN (int): Unknown
-          ADJ (int): Adjective
-          ADP (int): Adposition (preposition and postposition)
-          ADV (int): Adverb
-          CONJ (int): Conjunction
-          DET (int): Determiner
-          NOUN (int): Noun (common and proper)
-          NUM (int): Cardinal number
-          PRON (int): Pronoun
-          PRT (int): Particle or other function word
-          PUNCT (int): Punctuation
-          VERB (int): Verb (all tenses and modes)
-          X (int): Other: foreign words, typos, abbreviations
-          AFFIX (int): Affix
-        """
-
-        UNKNOWN = 0
-        ADJ = 1
-        ADP = 2
-        ADV = 3
-        CONJ = 4
-        DET = 5
-        NOUN = 6
-        NUM = 7
-        PRON = 8
-        PRT = 9
-        PUNCT = 10
-        VERB = 11
-        X = 12
-        AFFIX = 13
-
-    class Tense(enum.IntEnum):
-        """
-        Time reference.
-
-        Attributes:
-          TENSE_UNKNOWN (int): Tense is not applicable in the analyzed language or is not predicted.
-          CONDITIONAL_TENSE (int): Conditional
-          FUTURE (int): Future
-          PAST (int): Past
-          PRESENT (int): Present
-          IMPERFECT (int): Imperfect
-          PLUPERFECT (int): Pluperfect
-        """
-
-        TENSE_UNKNOWN = 0
-        CONDITIONAL_TENSE = 1
-        FUTURE = 2
-        PAST = 3
-        PRESENT = 4
-        IMPERFECT = 5
-        PLUPERFECT = 6
-
-    class Voice(enum.IntEnum):
-        """
-        The relationship between the action that a verb expresses and the
-        participants identified by its arguments.
-
-        Attributes:
-          VOICE_UNKNOWN (int): Voice is not applicable in the analyzed language or is not predicted.
-          ACTIVE (int): Active
-          CAUSATIVE (int): Causative
-          PASSIVE (int): Passive
-        """
-
-        VOICE_UNKNOWN = 0
-        ACTIVE = 1
-        CAUSATIVE = 2
-        PASSIVE = 3
diff --git a/google/cloud/language_v1beta2/gapic/language_service_client.py b/google/cloud/language_v1beta2/gapic/language_service_client.py
deleted file mode 100644
index 8d3f9557..00000000
--- a/google/cloud/language_v1beta2/gapic/language_service_client.py
+++ /dev/null
@@ -1,581 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Accesses the google.cloud.language.v1beta2 LanguageService API."""
-
-import pkg_resources
-import warnings
-
-from google.oauth2 import service_account
-import google.api_core.client_options
-import google.api_core.gapic_v1.client_info
-import google.api_core.gapic_v1.config
-import google.api_core.gapic_v1.method
-import google.api_core.grpc_helpers
-import grpc
-
-from google.cloud.language_v1beta2.gapic import enums
-from google.cloud.language_v1beta2.gapic import language_service_client_config
-from google.cloud.language_v1beta2.gapic.transports import (
-    language_service_grpc_transport,
-)
-from google.cloud.language_v1beta2.proto import language_service_pb2
-from google.cloud.language_v1beta2.proto import language_service_pb2_grpc
-
-
-_GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution("google-cloud-language").version
-
-
-class LanguageServiceClient(object):
-    """
-    Provides text analysis operations such as sentiment analysis and entity
-    recognition.
-    """
-
-    SERVICE_ADDRESS = "language.googleapis.com:443"
-    """The default address of the service."""
-
-    # The name of the interface for this client. This is the key used to
-    # find the method configuration in the client_config dictionary.
-    _INTERFACE_NAME = "google.cloud.language.v1beta2.LanguageService"
-
-    @classmethod
-    def from_service_account_file(cls, filename, *args, **kwargs):
-        """Creates an instance of this client using the provided credentials
-        file.
-
-        Args:
-            filename (str): The path to the service account private key json
-                file.
-            args: Additional arguments to pass to the constructor.
-            kwargs: Additional arguments to pass to the constructor.
-
-        Returns:
-            LanguageServiceClient: The constructed client.
-        """
-        credentials = service_account.Credentials.from_service_account_file(filename)
-        kwargs["credentials"] = credentials
-        return cls(*args, **kwargs)
-
-    from_service_account_json = from_service_account_file
-
-    def __init__(
-        self,
-        transport=None,
-        channel=None,
-        credentials=None,
-        client_config=None,
-        client_info=None,
-        client_options=None,
-    ):
-        """Constructor.
-
-        Args:
-            transport (Union[~.LanguageServiceGrpcTransport,
-                    Callable[[~.Credentials, type], ~.LanguageServiceGrpcTransport]): A transport
-                instance, responsible for actually making the API calls.
-                The default transport uses the gRPC protocol.
-                This argument may also be a callable which returns a
-                transport instance. Callables will be sent the credentials
-                as the first argument and the default transport class as
-                the second argument.
-            channel (grpc.Channel): DEPRECATED. A ``Channel`` instance
-                through which to make calls. This argument is mutually exclusive
-                with ``credentials``; providing both will raise an exception.
-            credentials (google.auth.credentials.Credentials): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-                This argument is mutually exclusive with providing a
-                transport instance to ``transport``; doing so will raise
-                an exception.
-            client_config (dict): DEPRECATED. A dictionary of call options for
-                each method. If not specified, the default configuration is used.
-            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
-                The client info used to send a user-agent string along with
-                API requests. If ``None``, then default info will be used.
-                Generally, you only need to set this if you're developing
-                your own client library.
-            client_options (Union[dict, google.api_core.client_options.ClientOptions]):
-                Client options used to set user options on the client. API Endpoint
-                should be set through client_options.
-        """
-        # Raise deprecation warnings for things we want to go away.
-        if client_config is not None:
-            warnings.warn(
-                "The `client_config` argument is deprecated.",
-                PendingDeprecationWarning,
-                stacklevel=2,
-            )
-        else:
-            client_config = language_service_client_config.config
-
-        if channel:
-            warnings.warn(
-                "The `channel` argument is deprecated; use " "`transport` instead.",
-                PendingDeprecationWarning,
-                stacklevel=2,
-            )
-
-        api_endpoint = self.SERVICE_ADDRESS
-        if client_options:
-            if type(client_options) == dict:
-                client_options = google.api_core.client_options.from_dict(
-                    client_options
-                )
-            if client_options.api_endpoint:
-                api_endpoint = client_options.api_endpoint
-
-        # Instantiate the transport.
-        # The transport is responsible for handling serialization and
-        # deserialization and actually sending data to the service.
-        if transport:
-            if callable(transport):
-                self.transport = transport(
-                    credentials=credentials,
-                    default_class=language_service_grpc_transport.LanguageServiceGrpcTransport,
-                    address=api_endpoint,
-                )
-            else:
-                if credentials:
-                    raise ValueError(
-                        "Received both a transport instance and "
-                        "credentials; these are mutually exclusive."
-                    )
-                self.transport = transport
-        else:
-            self.transport = language_service_grpc_transport.LanguageServiceGrpcTransport(
-                address=api_endpoint, channel=channel, credentials=credentials
-            )
-
-        if client_info is None:
-            client_info = google.api_core.gapic_v1.client_info.ClientInfo(
-                gapic_version=_GAPIC_LIBRARY_VERSION
-            )
-        else:
-            client_info.gapic_version = _GAPIC_LIBRARY_VERSION
-        self._client_info = client_info
-
-        # Parse out the default settings for retry and timeout for each RPC
-        # from the client configuration.
-        # (Ordinarily, these are the defaults specified in the `*_config.py`
-        # file next to this one.)
-        self._method_configs = google.api_core.gapic_v1.config.parse_method_configs(
-            client_config["interfaces"][self._INTERFACE_NAME]
-        )
-
-        # Save a dictionary of cached API call functions.
-        # These are the actual callables which invoke the proper
-        # transport methods, wrapped with `wrap_method` to add retry,
-        # timeout, and the like.
-        self._inner_api_calls = {}
-
-    # Service calls
-    def analyze_sentiment(
-        self,
-        document,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Analyzes the sentiment of the provided text.
-
-        Example:
-            >>> from google.cloud import language_v1beta2
-            >>>
-            >>> client = language_v1beta2.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.analyze_sentiment(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Required. Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1beta2.types.Document`
-            encoding_type (~google.cloud.language_v1beta2.enums.EncodingType): The encoding type used by the API to calculate sentence offsets for the
-                sentence sentiment.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1beta2.types.AnalyzeSentimentResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "analyze_sentiment" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "analyze_sentiment"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.analyze_sentiment,
-                default_retry=self._method_configs["AnalyzeSentiment"].retry,
-                default_timeout=self._method_configs["AnalyzeSentiment"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnalyzeSentimentRequest(
-            document=document, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["analyze_sentiment"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def analyze_entities(
-        self,
-        document,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Finds named entities (currently proper names and common nouns) in the text
-        along with entity types, salience, mentions for each entity, and
-        other properties.
-
-        Example:
-            >>> from google.cloud import language_v1beta2
-            >>>
-            >>> client = language_v1beta2.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.analyze_entities(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Required. Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1beta2.types.Document`
-            encoding_type (~google.cloud.language_v1beta2.enums.EncodingType): The encoding type used by the API to calculate offsets.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1beta2.types.AnalyzeEntitiesResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "analyze_entities" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "analyze_entities"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.analyze_entities,
-                default_retry=self._method_configs["AnalyzeEntities"].retry,
-                default_timeout=self._method_configs["AnalyzeEntities"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnalyzeEntitiesRequest(
-            document=document, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["analyze_entities"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def analyze_entity_sentiment(
-        self,
-        document,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Finds entities, similar to ``AnalyzeEntities`` in the text and
-        analyzes sentiment associated with each entity and its mentions.
-
-        Example:
-            >>> from google.cloud import language_v1beta2
-            >>>
-            >>> client = language_v1beta2.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.analyze_entity_sentiment(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Required. Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1beta2.types.Document`
-            encoding_type (~google.cloud.language_v1beta2.enums.EncodingType): The encoding type used by the API to calculate offsets.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1beta2.types.AnalyzeEntitySentimentResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "analyze_entity_sentiment" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "analyze_entity_sentiment"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.analyze_entity_sentiment,
-                default_retry=self._method_configs["AnalyzeEntitySentiment"].retry,
-                default_timeout=self._method_configs["AnalyzeEntitySentiment"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnalyzeEntitySentimentRequest(
-            document=document, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["analyze_entity_sentiment"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def analyze_syntax(
-        self,
-        document,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Analyzes the syntax of the text and provides sentence boundaries and
-        tokenization along with part-of-speech tags, dependency trees, and other
-        properties.
-
-        Example:
-            >>> from google.cloud import language_v1beta2
-            >>>
-            >>> client = language_v1beta2.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.analyze_syntax(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Required. Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1beta2.types.Document`
-            encoding_type (~google.cloud.language_v1beta2.enums.EncodingType): The encoding type used by the API to calculate offsets.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1beta2.types.AnalyzeSyntaxResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "analyze_syntax" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "analyze_syntax"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.analyze_syntax,
-                default_retry=self._method_configs["AnalyzeSyntax"].retry,
-                default_timeout=self._method_configs["AnalyzeSyntax"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnalyzeSyntaxRequest(
-            document=document, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["analyze_syntax"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def classify_text(
-        self,
-        document,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        Classifies a document into categories.
-
-        Example:
-            >>> from google.cloud import language_v1beta2
-            >>>
-            >>> client = language_v1beta2.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> response = client.classify_text(document)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Required. Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1beta2.types.Document`
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1beta2.types.ClassifyTextResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "classify_text" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "classify_text"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.classify_text,
-                default_retry=self._method_configs["ClassifyText"].retry,
-                default_timeout=self._method_configs["ClassifyText"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.ClassifyTextRequest(document=document)
-        return self._inner_api_calls["classify_text"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
-
-    def annotate_text(
-        self,
-        document,
-        features,
-        encoding_type=None,
-        retry=google.api_core.gapic_v1.method.DEFAULT,
-        timeout=google.api_core.gapic_v1.method.DEFAULT,
-        metadata=None,
-    ):
-        """
-        A convenience method that provides all syntax, sentiment, entity, and
-        classification features in one call.
-
-        Example:
-            >>> from google.cloud import language_v1beta2
-            >>>
-            >>> client = language_v1beta2.LanguageServiceClient()
-            >>>
-            >>> # TODO: Initialize `document`:
-            >>> document = {}
-            >>>
-            >>> # TODO: Initialize `features`:
-            >>> features = {}
-            >>>
-            >>> response = client.annotate_text(document, features)
-
-        Args:
-            document (Union[dict, ~google.cloud.language_v1beta2.types.Document]): Required. Input document.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1beta2.types.Document`
-            features (Union[dict, ~google.cloud.language_v1beta2.types.Features]): Required. The enabled features.
-
-                If a dict is provided, it must be of the same form as the protobuf
-                message :class:`~google.cloud.language_v1beta2.types.Features`
-            encoding_type (~google.cloud.language_v1beta2.enums.EncodingType): The encoding type used by the API to calculate offsets.
-            retry (Optional[google.api_core.retry.Retry]):  A retry object used
-                to retry requests. If ``None`` is specified, requests will
-                be retried using a default configuration.
-            timeout (Optional[float]): The amount of time, in seconds, to wait
-                for the request to complete. Note that if ``retry`` is
-                specified, the timeout applies to each individual attempt.
-            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
-                that is provided to the method.
-
-        Returns:
-            A :class:`~google.cloud.language_v1beta2.types.AnnotateTextResponse` instance.
-
-        Raises:
-            google.api_core.exceptions.GoogleAPICallError: If the request
-                    failed for any reason.
-            google.api_core.exceptions.RetryError: If the request failed due
-                    to a retryable error and retry attempts failed.
-            ValueError: If the parameters are invalid.
-        """
-        # Wrap the transport method to add retry and timeout logic.
-        if "annotate_text" not in self._inner_api_calls:
-            self._inner_api_calls[
-                "annotate_text"
-            ] = google.api_core.gapic_v1.method.wrap_method(
-                self.transport.annotate_text,
-                default_retry=self._method_configs["AnnotateText"].retry,
-                default_timeout=self._method_configs["AnnotateText"].timeout,
-                client_info=self._client_info,
-            )
-
-        request = language_service_pb2.AnnotateTextRequest(
-            document=document, features=features, encoding_type=encoding_type
-        )
-        return self._inner_api_calls["annotate_text"](
-            request, retry=retry, timeout=timeout, metadata=metadata
-        )
diff --git a/google/cloud/language_v1beta2/gapic/language_service_client_config.py b/google/cloud/language_v1beta2/gapic/language_service_client_config.py
deleted file mode 100644
index 5b11ec46..00000000
--- a/google/cloud/language_v1beta2/gapic/language_service_client_config.py
+++ /dev/null
@@ -1,53 +0,0 @@
-config = {
-    "interfaces": {
-        "google.cloud.language.v1beta2.LanguageService": {
-            "retry_codes": {
-                "idempotent": ["DEADLINE_EXCEEDED", "UNAVAILABLE"],
-                "non_idempotent": [],
-            },
-            "retry_params": {
-                "default": {
-                    "initial_retry_delay_millis": 100,
-                    "retry_delay_multiplier": 1.3,
-                    "max_retry_delay_millis": 60000,
-                    "initial_rpc_timeout_millis": 60000,
-                    "rpc_timeout_multiplier": 1.0,
-                    "max_rpc_timeout_millis": 60000,
-                    "total_timeout_millis": 600000,
-                }
-            },
-            "methods": {
-                "AnalyzeSentiment": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "AnalyzeEntities": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "AnalyzeEntitySentiment": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "AnalyzeSyntax": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "ClassifyText": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-                "AnnotateText": {
-                    "timeout_millis": 60000,
-                    "retry_codes_name": "idempotent",
-                    "retry_params_name": "default",
-                },
-            },
-        }
-    }
-}
diff --git a/google/cloud/language_v1beta2/gapic/transports/__init__.py b/google/cloud/language_v1beta2/gapic/transports/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/google/cloud/language_v1beta2/gapic/transports/language_service_grpc_transport.py b/google/cloud/language_v1beta2/gapic/transports/language_service_grpc_transport.py
deleted file mode 100644
index 1fd3fba2..00000000
--- a/google/cloud/language_v1beta2/gapic/transports/language_service_grpc_transport.py
+++ /dev/null
@@ -1,197 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-import google.api_core.grpc_helpers
-
-from google.cloud.language_v1beta2.proto import language_service_pb2_grpc
-
-
-class LanguageServiceGrpcTransport(object):
-    """gRPC transport class providing stubs for
-    google.cloud.language.v1beta2 LanguageService API.
-
-    The transport provides access to the raw gRPC stubs,
-    which can be used to take advantage of advanced
-    features of gRPC.
-    """
-
-    # The scopes needed to make gRPC calls to all of the methods defined
-    # in this service.
-    _OAUTH_SCOPES = (
-        "https://www.googleapis.com/auth/cloud-language",
-        "https://www.googleapis.com/auth/cloud-platform",
-    )
-
-    def __init__(
-        self, channel=None, credentials=None, address="language.googleapis.com:443"
-    ):
-        """Instantiate the transport class.
-
-        Args:
-            channel (grpc.Channel): A ``Channel`` instance through
-                which to make calls. This argument is mutually exclusive
-                with ``credentials``; providing both will raise an exception.
-            credentials (google.auth.credentials.Credentials): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If none
-                are specified, the client will attempt to ascertain the
-                credentials from the environment.
-            address (str): The address where the service is hosted.
-        """
-        # If both `channel` and `credentials` are specified, raise an
-        # exception (channels come with credentials baked in already).
-        if channel is not None and credentials is not None:
-            raise ValueError(
-                "The `channel` and `credentials` arguments are mutually " "exclusive."
-            )
-
-        # Create the channel.
-        if channel is None:
-            channel = self.create_channel(
-                address=address,
-                credentials=credentials,
-                options={
-                    "grpc.max_send_message_length": -1,
-                    "grpc.max_receive_message_length": -1,
-                }.items(),
-            )
-
-        self._channel = channel
-
-        # gRPC uses objects called "stubs" that are bound to the
-        # channel and provide a basic method for each RPC.
-        self._stubs = {
-            "language_service_stub": language_service_pb2_grpc.LanguageServiceStub(
-                channel
-            )
-        }
-
-    @classmethod
-    def create_channel(
-        cls, address="language.googleapis.com:443", credentials=None, **kwargs
-    ):
-        """Create and return a gRPC channel object.
-
-        Args:
-            address (str): The host for the channel to use.
-            credentials (~.Credentials): The
-                authorization credentials to attach to requests. These
-                credentials identify this application to the service. If
-                none are specified, the client will attempt to ascertain
-                the credentials from the environment.
-            kwargs (dict): Keyword arguments, which are passed to the
-                channel creation.
-
-        Returns:
-            grpc.Channel: A gRPC channel object.
-        """
-        return google.api_core.grpc_helpers.create_channel(
-            address, credentials=credentials, scopes=cls._OAUTH_SCOPES, **kwargs
-        )
-
-    @property
-    def channel(self):
-        """The gRPC channel used by the transport.
-
-        Returns:
-            grpc.Channel: A gRPC channel object.
-        """
-        return self._channel
-
-    @property
-    def analyze_sentiment(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.analyze_sentiment`.
-
-        Analyzes the sentiment of the provided text.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnalyzeSentiment
-
-    @property
-    def analyze_entities(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.analyze_entities`.
-
-        Finds named entities (currently proper names and common nouns) in the text
-        along with entity types, salience, mentions for each entity, and
-        other properties.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnalyzeEntities
-
-    @property
-    def analyze_entity_sentiment(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.analyze_entity_sentiment`.
-
-        Finds entities, similar to ``AnalyzeEntities`` in the text and
-        analyzes sentiment associated with each entity and its mentions.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnalyzeEntitySentiment
-
-    @property
-    def analyze_syntax(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.analyze_syntax`.
-
-        Analyzes the syntax of the text and provides sentence boundaries and
-        tokenization along with part-of-speech tags, dependency trees, and other
-        properties.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnalyzeSyntax
-
-    @property
-    def classify_text(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.classify_text`.
-
-        Classifies a document into categories.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].ClassifyText
-
-    @property
-    def annotate_text(self):
-        """Return the gRPC stub for :meth:`LanguageServiceClient.annotate_text`.
-
-        A convenience method that provides all syntax, sentiment, entity, and
-        classification features in one call.
-
-        Returns:
-            Callable: A callable which accepts the appropriate
-                deserialized request object and returns a
-                deserialized response object.
-        """
-        return self._stubs["language_service_stub"].AnnotateText
diff --git a/google/cloud/language_v1beta2/proto/__init__.py b/google/cloud/language_v1beta2/proto/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/google/cloud/language_v1beta2/proto/language_service.proto b/google/cloud/language_v1beta2/proto/language_service.proto
deleted file mode 100644
index afca1205..00000000
--- a/google/cloud/language_v1beta2/proto/language_service.proto
+++ /dev/null
@@ -1,1134 +0,0 @@
-// Copyright 2019 Google LLC.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-//
-
-syntax = "proto3";
-
-package google.cloud.language.v1beta2;
-
-import "google/api/annotations.proto";
-import "google/api/client.proto";
-import "google/api/field_behavior.proto";
-import "google/protobuf/timestamp.proto";
-
-option go_package = "google.golang.org/genproto/googleapis/cloud/language/v1beta2;language";
-option java_multiple_files = true;
-option java_outer_classname = "LanguageServiceProto";
-option java_package = "com.google.cloud.language.v1beta2";
-
-// Provides text analysis operations such as sentiment analysis and entity
-// recognition.
-service LanguageService {
-  option (google.api.default_host) = "language.googleapis.com";
-  option (google.api.oauth_scopes) =
-      "https://www.googleapis.com/auth/cloud-language,"
-      "https://www.googleapis.com/auth/cloud-platform";
-
-  // Analyzes the sentiment of the provided text.
-  rpc AnalyzeSentiment(AnalyzeSentimentRequest) returns (AnalyzeSentimentResponse) {
-    option (google.api.http) = {
-      post: "/v1beta2/documents:analyzeSentiment"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,encoding_type";
-    option (google.api.method_signature) = "document";
-  }
-
-  // Finds named entities (currently proper names and common nouns) in the text
-  // along with entity types, salience, mentions for each entity, and
-  // other properties.
-  rpc AnalyzeEntities(AnalyzeEntitiesRequest) returns (AnalyzeEntitiesResponse) {
-    option (google.api.http) = {
-      post: "/v1beta2/documents:analyzeEntities"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,encoding_type";
-    option (google.api.method_signature) = "document";
-  }
-
-  // Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.AnalyzeEntities] in the text and analyzes
-  // sentiment associated with each entity and its mentions.
-  rpc AnalyzeEntitySentiment(AnalyzeEntitySentimentRequest) returns (AnalyzeEntitySentimentResponse) {
-    option (google.api.http) = {
-      post: "/v1beta2/documents:analyzeEntitySentiment"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,encoding_type";
-    option (google.api.method_signature) = "document";
-  }
-
-  // Analyzes the syntax of the text and provides sentence boundaries and
-  // tokenization along with part-of-speech tags, dependency trees, and other
-  // properties.
-  rpc AnalyzeSyntax(AnalyzeSyntaxRequest) returns (AnalyzeSyntaxResponse) {
-    option (google.api.http) = {
-      post: "/v1beta2/documents:analyzeSyntax"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,encoding_type";
-    option (google.api.method_signature) = "document";
-  }
-
-  // Classifies a document into categories.
-  rpc ClassifyText(ClassifyTextRequest) returns (ClassifyTextResponse) {
-    option (google.api.http) = {
-      post: "/v1beta2/documents:classifyText"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document";
-  }
-
-  // A convenience method that provides all syntax, sentiment, entity, and
-  // classification features in one call.
-  rpc AnnotateText(AnnotateTextRequest) returns (AnnotateTextResponse) {
-    option (google.api.http) = {
-      post: "/v1beta2/documents:annotateText"
-      body: "*"
-    };
-    option (google.api.method_signature) = "document,features,encoding_type";
-    option (google.api.method_signature) = "document,features";
-  }
-}
-
-// ################################################################ #
-//
-// Represents the input to API methods.
-message Document {
-  // The document types enum.
-  enum Type {
-    // The content type is not specified.
-    TYPE_UNSPECIFIED = 0;
-
-    // Plain text
-    PLAIN_TEXT = 1;
-
-    // HTML
-    HTML = 2;
-  }
-
-  // Required. If the type is not set or is `TYPE_UNSPECIFIED`,
-  // returns an `INVALID_ARGUMENT` error.
-  Type type = 1;
-
-  // The source of the document: a string containing the content or a
-  // Google Cloud Storage URI.
-  oneof source {
-    // The content of the input in string format.
-    // Cloud audit logging exempt since it is based on user data.
-    string content = 2;
-
-    // The Google Cloud Storage URI where the file content is located.
-    // This URI must be of the form: gs://bucket_name/object_name. For more
-    // details, see https://cloud.google.com/storage/docs/reference-uris.
-    // NOTE: Cloud Storage object versioning is not supported.
-    string gcs_content_uri = 3;
-  }
-
-  // The language of the document (if not specified, the language is
-  // automatically detected). Both ISO and BCP-47 language codes are
-  // accepted.<br>
-  // [Language
-  // Support](https://cloud.google.com/natural-language/docs/languages) lists
-  // currently supported languages for each API method. If the language (either
-  // specified by the caller or automatically detected) is not supported by the
-  // called API method, an `INVALID_ARGUMENT` error is returned.
-  string language = 4;
-}
-
-// Represents a sentence in the input document.
-message Sentence {
-  // The sentence text.
-  TextSpan text = 1;
-
-  // For calls to [AnalyzeSentiment][] or if
-  // [AnnotateTextRequest.Features.extract_document_sentiment][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_document_sentiment] is set to
-  // true, this field will contain the sentiment for the sentence.
-  Sentiment sentiment = 2;
-}
-
-// Represents a phrase in the text that is a known entity, such as
-// a person, an organization, or location. The API associates information, such
-// as salience and mentions, with entities.
-message Entity {
-  // The type of the entity. For most entity types, the associated metadata is a
-  // Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`). The table
-  // below lists the associated fields for entities that have different
-  // metadata.
-  enum Type {
-    // Unknown
-    UNKNOWN = 0;
-
-    // Person
-    PERSON = 1;
-
-    // Location
-    LOCATION = 2;
-
-    // Organization
-    ORGANIZATION = 3;
-
-    // Event
-    EVENT = 4;
-
-    // Artwork
-    WORK_OF_ART = 5;
-
-    // Consumer product
-    CONSUMER_GOOD = 6;
-
-    // Other types of entities
-    OTHER = 7;
-
-    // Phone number
-    //
-    // The metadata lists the phone number, formatted according to local
-    // convention, plus whichever additional elements appear in the text:
-    //
-    // * `number` - the actual number, broken down into sections as per local
-    // convention
-    // * `national_prefix` - country code, if detected
-    // * `area_code` - region or area code, if detected
-    // * `extension` - phone extension (to be dialed after connection), if
-    // detected
-    PHONE_NUMBER = 9;
-
-    // Address
-    //
-    // The metadata identifies the street number and locality plus whichever
-    // additional elements appear in the text:
-    //
-    // * `street_number` - street number
-    // * `locality` - city or town
-    // * `street_name` - street/route name, if detected
-    // * `postal_code` - postal code, if detected
-    // * `country` - country, if detected<
-    // * `broad_region` - administrative area, such as the state, if detected
-    // * `narrow_region` - smaller administrative area, such as county, if
-    // detected
-    // * `sublocality` - used in Asian addresses to demark a district within a
-    // city, if detected
-    ADDRESS = 10;
-
-    // Date
-    //
-    // The metadata identifies the components of the date:
-    //
-    // * `year` - four digit year, if detected
-    // * `month` - two digit month number, if detected
-    // * `day` - two digit day number, if detected
-    DATE = 11;
-
-    // Number
-    //
-    // The metadata is the number itself.
-    NUMBER = 12;
-
-    // Price
-    //
-    // The metadata identifies the `value` and `currency`.
-    PRICE = 13;
-  }
-
-  // The representative name for the entity.
-  string name = 1;
-
-  // The entity type.
-  Type type = 2;
-
-  // Metadata associated with the entity.
-  //
-  // For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`)
-  // and Knowledge Graph MID (`mid`), if they are available. For the metadata
-  // associated with other entity types, see the Type table below.
-  map<string, string> metadata = 3;
-
-  // The salience score associated with the entity in the [0, 1.0] range.
-  //
-  // The salience score for an entity provides information about the
-  // importance or centrality of that entity to the entire document text.
-  // Scores closer to 0 are less salient, while scores closer to 1.0 are highly
-  // salient.
-  float salience = 4;
-
-  // The mentions of this entity in the input document. The API currently
-  // supports proper noun mentions.
-  repeated EntityMention mentions = 5;
-
-  // For calls to [AnalyzeEntitySentiment][] or if
-  // [AnnotateTextRequest.Features.extract_entity_sentiment][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_entity_sentiment] is set to
-  // true, this field will contain the aggregate sentiment expressed for this
-  // entity in the provided document.
-  Sentiment sentiment = 6;
-}
-
-// Represents the smallest syntactic building block of the text.
-message Token {
-  // The token text.
-  TextSpan text = 1;
-
-  // Parts of speech tag for this token.
-  PartOfSpeech part_of_speech = 2;
-
-  // Dependency tree parse for this token.
-  DependencyEdge dependency_edge = 3;
-
-  // [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
-  string lemma = 4;
-}
-
-// Represents the text encoding that the caller uses to process the output.
-// Providing an `EncodingType` is recommended because the API provides the
-// beginning offsets for various outputs, such as tokens and mentions, and
-// languages that natively use different text encodings may access offsets
-// differently.
-enum EncodingType {
-  // If `EncodingType` is not specified, encoding-dependent information (such as
-  // `begin_offset`) will be set at `-1`.
-  NONE = 0;
-
-  // Encoding-dependent information (such as `begin_offset`) is calculated based
-  // on the UTF-8 encoding of the input. C++ and Go are examples of languages
-  // that use this encoding natively.
-  UTF8 = 1;
-
-  // Encoding-dependent information (such as `begin_offset`) is calculated based
-  // on the UTF-16 encoding of the input. Java and JavaScript are examples of
-  // languages that use this encoding natively.
-  UTF16 = 2;
-
-  // Encoding-dependent information (such as `begin_offset`) is calculated based
-  // on the UTF-32 encoding of the input. Python is an example of a language
-  // that uses this encoding natively.
-  UTF32 = 3;
-}
-
-// Represents the feeling associated with the entire text or entities in
-// the text.
-// Next ID: 6
-message Sentiment {
-  // A non-negative number in the [0, +inf) range, which represents
-  // the absolute magnitude of sentiment regardless of score (positive or
-  // negative).
-  float magnitude = 2;
-
-  // Sentiment score between -1.0 (negative sentiment) and 1.0
-  // (positive sentiment).
-  float score = 3;
-}
-
-// Represents part of speech information for a token.
-message PartOfSpeech {
-  // The part of speech tags enum.
-  enum Tag {
-    // Unknown
-    UNKNOWN = 0;
-
-    // Adjective
-    ADJ = 1;
-
-    // Adposition (preposition and postposition)
-    ADP = 2;
-
-    // Adverb
-    ADV = 3;
-
-    // Conjunction
-    CONJ = 4;
-
-    // Determiner
-    DET = 5;
-
-    // Noun (common and proper)
-    NOUN = 6;
-
-    // Cardinal number
-    NUM = 7;
-
-    // Pronoun
-    PRON = 8;
-
-    // Particle or other function word
-    PRT = 9;
-
-    // Punctuation
-    PUNCT = 10;
-
-    // Verb (all tenses and modes)
-    VERB = 11;
-
-    // Other: foreign words, typos, abbreviations
-    X = 12;
-
-    // Affix
-    AFFIX = 13;
-  }
-
-  // The characteristic of a verb that expresses time flow during an event.
-  enum Aspect {
-    // Aspect is not applicable in the analyzed language or is not predicted.
-    ASPECT_UNKNOWN = 0;
-
-    // Perfective
-    PERFECTIVE = 1;
-
-    // Imperfective
-    IMPERFECTIVE = 2;
-
-    // Progressive
-    PROGRESSIVE = 3;
-  }
-
-  // The grammatical function performed by a noun or pronoun in a phrase,
-  // clause, or sentence. In some languages, other parts of speech, such as
-  // adjective and determiner, take case inflection in agreement with the noun.
-  enum Case {
-    // Case is not applicable in the analyzed language or is not predicted.
-    CASE_UNKNOWN = 0;
-
-    // Accusative
-    ACCUSATIVE = 1;
-
-    // Adverbial
-    ADVERBIAL = 2;
-
-    // Complementive
-    COMPLEMENTIVE = 3;
-
-    // Dative
-    DATIVE = 4;
-
-    // Genitive
-    GENITIVE = 5;
-
-    // Instrumental
-    INSTRUMENTAL = 6;
-
-    // Locative
-    LOCATIVE = 7;
-
-    // Nominative
-    NOMINATIVE = 8;
-
-    // Oblique
-    OBLIQUE = 9;
-
-    // Partitive
-    PARTITIVE = 10;
-
-    // Prepositional
-    PREPOSITIONAL = 11;
-
-    // Reflexive
-    REFLEXIVE_CASE = 12;
-
-    // Relative
-    RELATIVE_CASE = 13;
-
-    // Vocative
-    VOCATIVE = 14;
-  }
-
-  // Depending on the language, Form can be categorizing different forms of
-  // verbs, adjectives, adverbs, etc. For example, categorizing inflected
-  // endings of verbs and adjectives or distinguishing between short and long
-  // forms of adjectives and participles
-  enum Form {
-    // Form is not applicable in the analyzed language or is not predicted.
-    FORM_UNKNOWN = 0;
-
-    // Adnomial
-    ADNOMIAL = 1;
-
-    // Auxiliary
-    AUXILIARY = 2;
-
-    // Complementizer
-    COMPLEMENTIZER = 3;
-
-    // Final ending
-    FINAL_ENDING = 4;
-
-    // Gerund
-    GERUND = 5;
-
-    // Realis
-    REALIS = 6;
-
-    // Irrealis
-    IRREALIS = 7;
-
-    // Short form
-    SHORT = 8;
-
-    // Long form
-    LONG = 9;
-
-    // Order form
-    ORDER = 10;
-
-    // Specific form
-    SPECIFIC = 11;
-  }
-
-  // Gender classes of nouns reflected in the behaviour of associated words.
-  enum Gender {
-    // Gender is not applicable in the analyzed language or is not predicted.
-    GENDER_UNKNOWN = 0;
-
-    // Feminine
-    FEMININE = 1;
-
-    // Masculine
-    MASCULINE = 2;
-
-    // Neuter
-    NEUTER = 3;
-  }
-
-  // The grammatical feature of verbs, used for showing modality and attitude.
-  enum Mood {
-    // Mood is not applicable in the analyzed language or is not predicted.
-    MOOD_UNKNOWN = 0;
-
-    // Conditional
-    CONDITIONAL_MOOD = 1;
-
-    // Imperative
-    IMPERATIVE = 2;
-
-    // Indicative
-    INDICATIVE = 3;
-
-    // Interrogative
-    INTERROGATIVE = 4;
-
-    // Jussive
-    JUSSIVE = 5;
-
-    // Subjunctive
-    SUBJUNCTIVE = 6;
-  }
-
-  // Count distinctions.
-  enum Number {
-    // Number is not applicable in the analyzed language or is not predicted.
-    NUMBER_UNKNOWN = 0;
-
-    // Singular
-    SINGULAR = 1;
-
-    // Plural
-    PLURAL = 2;
-
-    // Dual
-    DUAL = 3;
-  }
-
-  // The distinction between the speaker, second person, third person, etc.
-  enum Person {
-    // Person is not applicable in the analyzed language or is not predicted.
-    PERSON_UNKNOWN = 0;
-
-    // First
-    FIRST = 1;
-
-    // Second
-    SECOND = 2;
-
-    // Third
-    THIRD = 3;
-
-    // Reflexive
-    REFLEXIVE_PERSON = 4;
-  }
-
-  // This category shows if the token is part of a proper name.
-  enum Proper {
-    // Proper is not applicable in the analyzed language or is not predicted.
-    PROPER_UNKNOWN = 0;
-
-    // Proper
-    PROPER = 1;
-
-    // Not proper
-    NOT_PROPER = 2;
-  }
-
-  // Reciprocal features of a pronoun.
-  enum Reciprocity {
-    // Reciprocity is not applicable in the analyzed language or is not
-    // predicted.
-    RECIPROCITY_UNKNOWN = 0;
-
-    // Reciprocal
-    RECIPROCAL = 1;
-
-    // Non-reciprocal
-    NON_RECIPROCAL = 2;
-  }
-
-  // Time reference.
-  enum Tense {
-    // Tense is not applicable in the analyzed language or is not predicted.
-    TENSE_UNKNOWN = 0;
-
-    // Conditional
-    CONDITIONAL_TENSE = 1;
-
-    // Future
-    FUTURE = 2;
-
-    // Past
-    PAST = 3;
-
-    // Present
-    PRESENT = 4;
-
-    // Imperfect
-    IMPERFECT = 5;
-
-    // Pluperfect
-    PLUPERFECT = 6;
-  }
-
-  // The relationship between the action that a verb expresses and the
-  // participants identified by its arguments.
-  enum Voice {
-    // Voice is not applicable in the analyzed language or is not predicted.
-    VOICE_UNKNOWN = 0;
-
-    // Active
-    ACTIVE = 1;
-
-    // Causative
-    CAUSATIVE = 2;
-
-    // Passive
-    PASSIVE = 3;
-  }
-
-  // The part of speech tag.
-  Tag tag = 1;
-
-  // The grammatical aspect.
-  Aspect aspect = 2;
-
-  // The grammatical case.
-  Case case = 3;
-
-  // The grammatical form.
-  Form form = 4;
-
-  // The grammatical gender.
-  Gender gender = 5;
-
-  // The grammatical mood.
-  Mood mood = 6;
-
-  // The grammatical number.
-  Number number = 7;
-
-  // The grammatical person.
-  Person person = 8;
-
-  // The grammatical properness.
-  Proper proper = 9;
-
-  // The grammatical reciprocity.
-  Reciprocity reciprocity = 10;
-
-  // The grammatical tense.
-  Tense tense = 11;
-
-  // The grammatical voice.
-  Voice voice = 12;
-}
-
-// Represents dependency parse tree information for a token.
-message DependencyEdge {
-  // The parse label enum for the token.
-  enum Label {
-    // Unknown
-    UNKNOWN = 0;
-
-    // Abbreviation modifier
-    ABBREV = 1;
-
-    // Adjectival complement
-    ACOMP = 2;
-
-    // Adverbial clause modifier
-    ADVCL = 3;
-
-    // Adverbial modifier
-    ADVMOD = 4;
-
-    // Adjectival modifier of an NP
-    AMOD = 5;
-
-    // Appositional modifier of an NP
-    APPOS = 6;
-
-    // Attribute dependent of a copular verb
-    ATTR = 7;
-
-    // Auxiliary (non-main) verb
-    AUX = 8;
-
-    // Passive auxiliary
-    AUXPASS = 9;
-
-    // Coordinating conjunction
-    CC = 10;
-
-    // Clausal complement of a verb or adjective
-    CCOMP = 11;
-
-    // Conjunct
-    CONJ = 12;
-
-    // Clausal subject
-    CSUBJ = 13;
-
-    // Clausal passive subject
-    CSUBJPASS = 14;
-
-    // Dependency (unable to determine)
-    DEP = 15;
-
-    // Determiner
-    DET = 16;
-
-    // Discourse
-    DISCOURSE = 17;
-
-    // Direct object
-    DOBJ = 18;
-
-    // Expletive
-    EXPL = 19;
-
-    // Goes with (part of a word in a text not well edited)
-    GOESWITH = 20;
-
-    // Indirect object
-    IOBJ = 21;
-
-    // Marker (word introducing a subordinate clause)
-    MARK = 22;
-
-    // Multi-word expression
-    MWE = 23;
-
-    // Multi-word verbal expression
-    MWV = 24;
-
-    // Negation modifier
-    NEG = 25;
-
-    // Noun compound modifier
-    NN = 26;
-
-    // Noun phrase used as an adverbial modifier
-    NPADVMOD = 27;
-
-    // Nominal subject
-    NSUBJ = 28;
-
-    // Passive nominal subject
-    NSUBJPASS = 29;
-
-    // Numeric modifier of a noun
-    NUM = 30;
-
-    // Element of compound number
-    NUMBER = 31;
-
-    // Punctuation mark
-    P = 32;
-
-    // Parataxis relation
-    PARATAXIS = 33;
-
-    // Participial modifier
-    PARTMOD = 34;
-
-    // The complement of a preposition is a clause
-    PCOMP = 35;
-
-    // Object of a preposition
-    POBJ = 36;
-
-    // Possession modifier
-    POSS = 37;
-
-    // Postverbal negative particle
-    POSTNEG = 38;
-
-    // Predicate complement
-    PRECOMP = 39;
-
-    // Preconjunt
-    PRECONJ = 40;
-
-    // Predeterminer
-    PREDET = 41;
-
-    // Prefix
-    PREF = 42;
-
-    // Prepositional modifier
-    PREP = 43;
-
-    // The relationship between a verb and verbal morpheme
-    PRONL = 44;
-
-    // Particle
-    PRT = 45;
-
-    // Associative or possessive marker
-    PS = 46;
-
-    // Quantifier phrase modifier
-    QUANTMOD = 47;
-
-    // Relative clause modifier
-    RCMOD = 48;
-
-    // Complementizer in relative clause
-    RCMODREL = 49;
-
-    // Ellipsis without a preceding predicate
-    RDROP = 50;
-
-    // Referent
-    REF = 51;
-
-    // Remnant
-    REMNANT = 52;
-
-    // Reparandum
-    REPARANDUM = 53;
-
-    // Root
-    ROOT = 54;
-
-    // Suffix specifying a unit of number
-    SNUM = 55;
-
-    // Suffix
-    SUFF = 56;
-
-    // Temporal modifier
-    TMOD = 57;
-
-    // Topic marker
-    TOPIC = 58;
-
-    // Clause headed by an infinite form of the verb that modifies a noun
-    VMOD = 59;
-
-    // Vocative
-    VOCATIVE = 60;
-
-    // Open clausal complement
-    XCOMP = 61;
-
-    // Name suffix
-    SUFFIX = 62;
-
-    // Name title
-    TITLE = 63;
-
-    // Adverbial phrase modifier
-    ADVPHMOD = 64;
-
-    // Causative auxiliary
-    AUXCAUS = 65;
-
-    // Helper auxiliary
-    AUXVV = 66;
-
-    // Rentaishi (Prenominal modifier)
-    DTMOD = 67;
-
-    // Foreign words
-    FOREIGN = 68;
-
-    // Keyword
-    KW = 69;
-
-    // List for chains of comparable items
-    LIST = 70;
-
-    // Nominalized clause
-    NOMC = 71;
-
-    // Nominalized clausal subject
-    NOMCSUBJ = 72;
-
-    // Nominalized clausal passive
-    NOMCSUBJPASS = 73;
-
-    // Compound of numeric modifier
-    NUMC = 74;
-
-    // Copula
-    COP = 75;
-
-    // Dislocated relation (for fronted/topicalized elements)
-    DISLOCATED = 76;
-
-    // Aspect marker
-    ASP = 77;
-
-    // Genitive modifier
-    GMOD = 78;
-
-    // Genitive object
-    GOBJ = 79;
-
-    // Infinitival modifier
-    INFMOD = 80;
-
-    // Measure
-    MES = 81;
-
-    // Nominal complement of a noun
-    NCOMP = 82;
-  }
-
-  // Represents the head of this token in the dependency tree.
-  // This is the index of the token which has an arc going to this token.
-  // The index is the position of the token in the array of tokens returned
-  // by the API method. If this token is a root token, then the
-  // `head_token_index` is its own index.
-  int32 head_token_index = 1;
-
-  // The parse label for the token.
-  Label label = 2;
-}
-
-// Represents a mention for an entity in the text. Currently, proper noun
-// mentions are supported.
-message EntityMention {
-  // The supported types of mentions.
-  enum Type {
-    // Unknown
-    TYPE_UNKNOWN = 0;
-
-    // Proper name
-    PROPER = 1;
-
-    // Common noun (or noun compound)
-    COMMON = 2;
-  }
-
-  // The mention text.
-  TextSpan text = 1;
-
-  // The type of the entity mention.
-  Type type = 2;
-
-  // For calls to [AnalyzeEntitySentiment][] or if
-  // [AnnotateTextRequest.Features.extract_entity_sentiment][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_entity_sentiment] is set to
-  // true, this field will contain the sentiment expressed for this mention of
-  // the entity in the provided document.
-  Sentiment sentiment = 3;
-}
-
-// Represents an output piece of text.
-message TextSpan {
-  // The content of the output text.
-  string content = 1;
-
-  // The API calculates the beginning offset of the content in the original
-  // document according to the [EncodingType][google.cloud.language.v1beta2.EncodingType] specified in the API request.
-  int32 begin_offset = 2;
-}
-
-// Represents a category returned from the text classifier.
-message ClassificationCategory {
-  // The name of the category representing the document, from the [predefined
-  // taxonomy](https://cloud.google.com/natural-language/docs/categories).
-  string name = 1;
-
-  // The classifier's confidence of the category. Number represents how certain
-  // the classifier is that this category represents the given text.
-  float confidence = 2;
-}
-
-// The sentiment analysis request message.
-message AnalyzeSentimentRequest {
-  // Required. Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate sentence offsets for the
-  // sentence sentiment.
-  EncodingType encoding_type = 2;
-}
-
-// The sentiment analysis response message.
-message AnalyzeSentimentResponse {
-  // The overall sentiment of the input document.
-  Sentiment document_sentiment = 1;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
-  string language = 2;
-
-  // The sentiment for all the sentences in the document.
-  repeated Sentence sentences = 3;
-}
-
-// The entity-level sentiment analysis request message.
-message AnalyzeEntitySentimentRequest {
-  // Required. Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate offsets.
-  EncodingType encoding_type = 2;
-}
-
-// The entity-level sentiment analysis response message.
-message AnalyzeEntitySentimentResponse {
-  // The recognized entities in the input document with associated sentiments.
-  repeated Entity entities = 1;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
-  string language = 2;
-}
-
-// The entity analysis request message.
-message AnalyzeEntitiesRequest {
-  // Required. Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate offsets.
-  EncodingType encoding_type = 2;
-}
-
-// The entity analysis response message.
-message AnalyzeEntitiesResponse {
-  // The recognized entities in the input document.
-  repeated Entity entities = 1;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
-  string language = 2;
-}
-
-// The syntax analysis request message.
-message AnalyzeSyntaxRequest {
-  // Required. Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate offsets.
-  EncodingType encoding_type = 2;
-}
-
-// The syntax analysis response message.
-message AnalyzeSyntaxResponse {
-  // Sentences in the input document.
-  repeated Sentence sentences = 1;
-
-  // Tokens, along with their syntactic information, in the input document.
-  repeated Token tokens = 2;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
-  string language = 3;
-}
-
-// The document classification request message.
-message ClassifyTextRequest {
-  // Required. Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-}
-
-// The document classification response message.
-message ClassifyTextResponse {
-  // Categories representing the input document.
-  repeated ClassificationCategory categories = 1;
-}
-
-// The request message for the text annotation API, which can perform multiple
-// analysis types (sentiment, entities, and syntax) in one call.
-message AnnotateTextRequest {
-  // All available features for sentiment, syntax, and semantic analysis.
-  // Setting each one to true will enable that specific analysis for the input.
-  // Next ID: 10
-  message Features {
-    // Extract syntax information.
-    bool extract_syntax = 1;
-
-    // Extract entities.
-    bool extract_entities = 2;
-
-    // Extract document-level sentiment.
-    bool extract_document_sentiment = 3;
-
-    // Extract entities and their associated sentiment.
-    bool extract_entity_sentiment = 4;
-
-    // Classify the full document into categories. If this is true,
-    // the API will use the default model which classifies into a
-    // [predefined
-    // taxonomy](https://cloud.google.com/natural-language/docs/categories).
-    bool classify_text = 6;
-  }
-
-  // Required. Input document.
-  Document document = 1 [(google.api.field_behavior) = REQUIRED];
-
-  // Required. The enabled features.
-  Features features = 2 [(google.api.field_behavior) = REQUIRED];
-
-  // The encoding type used by the API to calculate offsets.
-  EncodingType encoding_type = 3;
-}
-
-// The text annotations response message.
-message AnnotateTextResponse {
-  // Sentences in the input document. Populated if the user enables
-  // [AnnotateTextRequest.Features.extract_syntax][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_syntax].
-  repeated Sentence sentences = 1;
-
-  // Tokens, along with their syntactic information, in the input document.
-  // Populated if the user enables
-  // [AnnotateTextRequest.Features.extract_syntax][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_syntax].
-  repeated Token tokens = 2;
-
-  // Entities, along with their semantic information, in the input document.
-  // Populated if the user enables
-  // [AnnotateTextRequest.Features.extract_entities][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_entities].
-  repeated Entity entities = 3;
-
-  // The overall sentiment for the document. Populated if the user enables
-  // [AnnotateTextRequest.Features.extract_document_sentiment][google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_document_sentiment].
-  Sentiment document_sentiment = 4;
-
-  // The language of the text, which will be the same as the language specified
-  // in the request or, if not specified, the automatically-detected language.
-  // See [Document.language][google.cloud.language.v1beta2.Document.language] field for more details.
-  string language = 5;
-
-  // Categories identified in the input document.
-  repeated ClassificationCategory categories = 6;
-}
diff --git a/google/cloud/language_v1beta2/proto/language_service_pb2.py b/google/cloud/language_v1beta2/proto/language_service_pb2.py
deleted file mode 100644
index ff31f8e6..00000000
--- a/google/cloud/language_v1beta2/proto/language_service_pb2.py
+++ /dev/null
@@ -1,4575 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: google/cloud/language_v1beta2/proto/language_service.proto
-
-from google.protobuf.internal import enum_type_wrapper
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import message as _message
-from google.protobuf import reflection as _reflection
-from google.protobuf import symbol_database as _symbol_database
-
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.api import client_pb2 as google_dot_api_dot_client__pb2
-from google.api import field_behavior_pb2 as google_dot_api_dot_field__behavior__pb2
-from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2
-
-
-DESCRIPTOR = _descriptor.FileDescriptor(
-    name="google/cloud/language_v1beta2/proto/language_service.proto",
-    package="google.cloud.language.v1beta2",
-    syntax="proto3",
-    serialized_options=b"\n!com.google.cloud.language.v1beta2B\024LanguageServiceProtoP\001ZEgoogle.golang.org/genproto/googleapis/cloud/language/v1beta2;language",
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-    dependencies=[
-        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
-        google_dot_api_dot_client__pb2.DESCRIPTOR,
-        google_dot_api_dot_field__behavior__pb2.DESCRIPTOR,
-        google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,
-    ],
-)
-
-_ENCODINGTYPE = _descriptor.EnumDescriptor(
-    name="EncodingType",
-    full_name="google.cloud.language.v1beta2.EncodingType",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="NONE",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="UTF8",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="UTF16",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="UTF32",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=7035,
-    serialized_end=7091,
-)
-_sym_db.RegisterEnumDescriptor(_ENCODINGTYPE)
-
-EncodingType = enum_type_wrapper.EnumTypeWrapper(_ENCODINGTYPE)
-NONE = 0
-UTF8 = 1
-UTF16 = 2
-UTF32 = 3
-
-
-_DOCUMENT_TYPE = _descriptor.EnumDescriptor(
-    name="Type",
-    full_name="google.cloud.language.v1beta2.Document.Type",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="TYPE_UNSPECIFIED",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PLAIN_TEXT",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="HTML",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=351,
-    serialized_end=405,
-)
-_sym_db.RegisterEnumDescriptor(_DOCUMENT_TYPE)
-
-_ENTITY_TYPE = _descriptor.EnumDescriptor(
-    name="Type",
-    full_name="google.cloud.language.v1beta2.Entity.Type",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PERSON",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="LOCATION",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ORGANIZATION",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="EVENT",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="WORK_OF_ART",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONSUMER_GOOD",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="OTHER",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PHONE_NUMBER",
-            index=8,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADDRESS",
-            index=9,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DATE",
-            index=10,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUMBER",
-            index=11,
-            number=12,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRICE",
-            index=12,
-            number=13,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=892,
-    serialized_end=1077,
-)
-_sym_db.RegisterEnumDescriptor(_ENTITY_TYPE)
-
-_PARTOFSPEECH_TAG = _descriptor.EnumDescriptor(
-    name="Tag",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Tag",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADJ",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADP",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADV",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONJ",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DET",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOUN",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUM",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRON",
-            index=8,
-            number=8,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRT",
-            index=9,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PUNCT",
-            index=10,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="VERB",
-            index=11,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="X",
-            index=12,
-            number=12,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AFFIX",
-            index=13,
-            number=13,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2169,
-    serialized_end=2310,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_TAG)
-
-_PARTOFSPEECH_ASPECT = _descriptor.EnumDescriptor(
-    name="Aspect",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Aspect",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="ASPECT_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PERFECTIVE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IMPERFECTIVE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PROGRESSIVE",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2312,
-    serialized_end=2391,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_ASPECT)
-
-_PARTOFSPEECH_CASE = _descriptor.EnumDescriptor(
-    name="Case",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Case",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="CASE_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ACCUSATIVE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADVERBIAL",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="COMPLEMENTIVE",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DATIVE",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GENITIVE",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="INSTRUMENTAL",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="LOCATIVE",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOMINATIVE",
-            index=8,
-            number=8,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="OBLIQUE",
-            index=9,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PARTITIVE",
-            index=10,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PREPOSITIONAL",
-            index=11,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REFLEXIVE_CASE",
-            index=12,
-            number=12,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RELATIVE_CASE",
-            index=13,
-            number=13,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="VOCATIVE",
-            index=14,
-            number=14,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2394,
-    serialized_end=2642,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_CASE)
-
-_PARTOFSPEECH_FORM = _descriptor.EnumDescriptor(
-    name="Form",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Form",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="FORM_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADNOMIAL",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUXILIARY",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="COMPLEMENTIZER",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FINAL_ENDING",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GERUND",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REALIS",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IRREALIS",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SHORT",
-            index=8,
-            number=8,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="LONG",
-            index=9,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ORDER",
-            index=10,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SPECIFIC",
-            index=11,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2645,
-    serialized_end=2820,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_FORM)
-
-_PARTOFSPEECH_GENDER = _descriptor.EnumDescriptor(
-    name="Gender",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Gender",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="GENDER_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FEMININE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MASCULINE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NEUTER",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2822,
-    serialized_end=2891,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_GENDER)
-
-_PARTOFSPEECH_MOOD = _descriptor.EnumDescriptor(
-    name="Mood",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Mood",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="MOOD_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONDITIONAL_MOOD",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IMPERATIVE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="INDICATIVE",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="INTERROGATIVE",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="JUSSIVE",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SUBJUNCTIVE",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=2893,
-    serialized_end=3020,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_MOOD)
-
-_PARTOFSPEECH_NUMBER = _descriptor.EnumDescriptor(
-    name="Number",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Number",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="NUMBER_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SINGULAR",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PLURAL",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DUAL",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3022,
-    serialized_end=3086,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_NUMBER)
-
-_PARTOFSPEECH_PERSON = _descriptor.EnumDescriptor(
-    name="Person",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Person",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="PERSON_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FIRST",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SECOND",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="THIRD",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REFLEXIVE_PERSON",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3088,
-    serialized_end=3172,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_PERSON)
-
-_PARTOFSPEECH_PROPER = _descriptor.EnumDescriptor(
-    name="Proper",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Proper",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="PROPER_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PROPER",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOT_PROPER",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3174,
-    serialized_end=3230,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_PROPER)
-
-_PARTOFSPEECH_RECIPROCITY = _descriptor.EnumDescriptor(
-    name="Reciprocity",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Reciprocity",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="RECIPROCITY_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RECIPROCAL",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NON_RECIPROCAL",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3232,
-    serialized_end=3306,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_RECIPROCITY)
-
-_PARTOFSPEECH_TENSE = _descriptor.EnumDescriptor(
-    name="Tense",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Tense",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="TENSE_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONDITIONAL_TENSE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FUTURE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PAST",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRESENT",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IMPERFECT",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PLUPERFECT",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3308,
-    serialized_end=3423,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_TENSE)
-
-_PARTOFSPEECH_VOICE = _descriptor.EnumDescriptor(
-    name="Voice",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech.Voice",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="VOICE_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ACTIVE",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CAUSATIVE",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PASSIVE",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3425,
-    serialized_end=3491,
-)
-_sym_db.RegisterEnumDescriptor(_PARTOFSPEECH_VOICE)
-
-_DEPENDENCYEDGE_LABEL = _descriptor.EnumDescriptor(
-    name="Label",
-    full_name="google.cloud.language.v1beta2.DependencyEdge.Label",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ABBREV",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ACOMP",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADVCL",
-            index=3,
-            number=3,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADVMOD",
-            index=4,
-            number=4,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AMOD",
-            index=5,
-            number=5,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="APPOS",
-            index=6,
-            number=6,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ATTR",
-            index=7,
-            number=7,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUX",
-            index=8,
-            number=8,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUXPASS",
-            index=9,
-            number=9,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CC",
-            index=10,
-            number=10,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CCOMP",
-            index=11,
-            number=11,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CONJ",
-            index=12,
-            number=12,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CSUBJ",
-            index=13,
-            number=13,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="CSUBJPASS",
-            index=14,
-            number=14,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DEP",
-            index=15,
-            number=15,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DET",
-            index=16,
-            number=16,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DISCOURSE",
-            index=17,
-            number=17,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DOBJ",
-            index=18,
-            number=18,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="EXPL",
-            index=19,
-            number=19,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GOESWITH",
-            index=20,
-            number=20,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="IOBJ",
-            index=21,
-            number=21,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MARK",
-            index=22,
-            number=22,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MWE",
-            index=23,
-            number=23,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MWV",
-            index=24,
-            number=24,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NEG",
-            index=25,
-            number=25,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NN",
-            index=26,
-            number=26,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NPADVMOD",
-            index=27,
-            number=27,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NSUBJ",
-            index=28,
-            number=28,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NSUBJPASS",
-            index=29,
-            number=29,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUM",
-            index=30,
-            number=30,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUMBER",
-            index=31,
-            number=31,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="P",
-            index=32,
-            number=32,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PARATAXIS",
-            index=33,
-            number=33,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PARTMOD",
-            index=34,
-            number=34,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PCOMP",
-            index=35,
-            number=35,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="POBJ",
-            index=36,
-            number=36,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="POSS",
-            index=37,
-            number=37,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="POSTNEG",
-            index=38,
-            number=38,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRECOMP",
-            index=39,
-            number=39,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRECONJ",
-            index=40,
-            number=40,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PREDET",
-            index=41,
-            number=41,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PREF",
-            index=42,
-            number=42,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PREP",
-            index=43,
-            number=43,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRONL",
-            index=44,
-            number=44,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PRT",
-            index=45,
-            number=45,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PS",
-            index=46,
-            number=46,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="QUANTMOD",
-            index=47,
-            number=47,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RCMOD",
-            index=48,
-            number=48,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RCMODREL",
-            index=49,
-            number=49,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="RDROP",
-            index=50,
-            number=50,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REF",
-            index=51,
-            number=51,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REMNANT",
-            index=52,
-            number=52,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="REPARANDUM",
-            index=53,
-            number=53,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ROOT",
-            index=54,
-            number=54,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SNUM",
-            index=55,
-            number=55,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SUFF",
-            index=56,
-            number=56,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="TMOD",
-            index=57,
-            number=57,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="TOPIC",
-            index=58,
-            number=58,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="VMOD",
-            index=59,
-            number=59,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="VOCATIVE",
-            index=60,
-            number=60,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="XCOMP",
-            index=61,
-            number=61,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="SUFFIX",
-            index=62,
-            number=62,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="TITLE",
-            index=63,
-            number=63,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ADVPHMOD",
-            index=64,
-            number=64,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUXCAUS",
-            index=65,
-            number=65,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="AUXVV",
-            index=66,
-            number=66,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DTMOD",
-            index=67,
-            number=67,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="FOREIGN",
-            index=68,
-            number=68,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="KW",
-            index=69,
-            number=69,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="LIST",
-            index=70,
-            number=70,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOMC",
-            index=71,
-            number=71,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOMCSUBJ",
-            index=72,
-            number=72,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NOMCSUBJPASS",
-            index=73,
-            number=73,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NUMC",
-            index=74,
-            number=74,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="COP",
-            index=75,
-            number=75,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="DISLOCATED",
-            index=76,
-            number=76,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="ASP",
-            index=77,
-            number=77,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GMOD",
-            index=78,
-            number=78,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="GOBJ",
-            index=79,
-            number=79,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="INFMOD",
-            index=80,
-            number=80,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="MES",
-            index=81,
-            number=81,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="NCOMP",
-            index=82,
-            number=82,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=3607,
-    serialized_end=4544,
-)
-_sym_db.RegisterEnumDescriptor(_DEPENDENCYEDGE_LABEL)
-
-_ENTITYMENTION_TYPE = _descriptor.EnumDescriptor(
-    name="Type",
-    full_name="google.cloud.language.v1beta2.EntityMention.Type",
-    filename=None,
-    file=DESCRIPTOR,
-    create_key=_descriptor._internal_create_key,
-    values=[
-        _descriptor.EnumValueDescriptor(
-            name="TYPE_UNKNOWN",
-            index=0,
-            number=0,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="PROPER",
-            index=1,
-            number=1,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.EnumValueDescriptor(
-            name="COMMON",
-            index=2,
-            number=2,
-            serialized_options=None,
-            type=None,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    containing_type=None,
-    serialized_options=None,
-    serialized_start=4745,
-    serialized_end=4793,
-)
-_sym_db.RegisterEnumDescriptor(_ENTITYMENTION_TYPE)
-
-
-_DOCUMENT = _descriptor.Descriptor(
-    name="Document",
-    full_name="google.cloud.language.v1beta2.Document",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="type",
-            full_name="google.cloud.language.v1beta2.Document.type",
-            index=0,
-            number=1,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="content",
-            full_name="google.cloud.language.v1beta2.Document.content",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="gcs_content_uri",
-            full_name="google.cloud.language.v1beta2.Document.gcs_content_uri",
-            index=2,
-            number=3,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1beta2.Document.language",
-            index=3,
-            number=4,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[_DOCUMENT_TYPE],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[
-        _descriptor.OneofDescriptor(
-            name="source",
-            full_name="google.cloud.language.v1beta2.Document.source",
-            index=0,
-            containing_type=None,
-            create_key=_descriptor._internal_create_key,
-            fields=[],
-        )
-    ],
-    serialized_start=215,
-    serialized_end=415,
-)
-
-
-_SENTENCE = _descriptor.Descriptor(
-    name="Sentence",
-    full_name="google.cloud.language.v1beta2.Sentence",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="text",
-            full_name="google.cloud.language.v1beta2.Sentence.text",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="sentiment",
-            full_name="google.cloud.language.v1beta2.Sentence.sentiment",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=417,
-    serialized_end=543,
-)
-
-
-_ENTITY_METADATAENTRY = _descriptor.Descriptor(
-    name="MetadataEntry",
-    full_name="google.cloud.language.v1beta2.Entity.MetadataEntry",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="key",
-            full_name="google.cloud.language.v1beta2.Entity.MetadataEntry.key",
-            index=0,
-            number=1,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="value",
-            full_name="google.cloud.language.v1beta2.Entity.MetadataEntry.value",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=b"8\001",
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=842,
-    serialized_end=889,
-)
-
-_ENTITY = _descriptor.Descriptor(
-    name="Entity",
-    full_name="google.cloud.language.v1beta2.Entity",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="name",
-            full_name="google.cloud.language.v1beta2.Entity.name",
-            index=0,
-            number=1,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="type",
-            full_name="google.cloud.language.v1beta2.Entity.type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="metadata",
-            full_name="google.cloud.language.v1beta2.Entity.metadata",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="salience",
-            full_name="google.cloud.language.v1beta2.Entity.salience",
-            index=3,
-            number=4,
-            type=2,
-            cpp_type=6,
-            label=1,
-            has_default_value=False,
-            default_value=float(0),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="mentions",
-            full_name="google.cloud.language.v1beta2.Entity.mentions",
-            index=4,
-            number=5,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="sentiment",
-            full_name="google.cloud.language.v1beta2.Entity.sentiment",
-            index=5,
-            number=6,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[_ENTITY_METADATAENTRY],
-    enum_types=[_ENTITY_TYPE],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=546,
-    serialized_end=1077,
-)
-
-
-_TOKEN = _descriptor.Descriptor(
-    name="Token",
-    full_name="google.cloud.language.v1beta2.Token",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="text",
-            full_name="google.cloud.language.v1beta2.Token.text",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="part_of_speech",
-            full_name="google.cloud.language.v1beta2.Token.part_of_speech",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="dependency_edge",
-            full_name="google.cloud.language.v1beta2.Token.dependency_edge",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="lemma",
-            full_name="google.cloud.language.v1beta2.Token.lemma",
-            index=3,
-            number=4,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=1080,
-    serialized_end=1298,
-)
-
-
-_SENTIMENT = _descriptor.Descriptor(
-    name="Sentiment",
-    full_name="google.cloud.language.v1beta2.Sentiment",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="magnitude",
-            full_name="google.cloud.language.v1beta2.Sentiment.magnitude",
-            index=0,
-            number=2,
-            type=2,
-            cpp_type=6,
-            label=1,
-            has_default_value=False,
-            default_value=float(0),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="score",
-            full_name="google.cloud.language.v1beta2.Sentiment.score",
-            index=1,
-            number=3,
-            type=2,
-            cpp_type=6,
-            label=1,
-            has_default_value=False,
-            default_value=float(0),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=1300,
-    serialized_end=1345,
-)
-
-
-_PARTOFSPEECH = _descriptor.Descriptor(
-    name="PartOfSpeech",
-    full_name="google.cloud.language.v1beta2.PartOfSpeech",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="tag",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.tag",
-            index=0,
-            number=1,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="aspect",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.aspect",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="case",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.case",
-            index=2,
-            number=3,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="form",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.form",
-            index=3,
-            number=4,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="gender",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.gender",
-            index=4,
-            number=5,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="mood",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.mood",
-            index=5,
-            number=6,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="number",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.number",
-            index=6,
-            number=7,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="person",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.person",
-            index=7,
-            number=8,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="proper",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.proper",
-            index=8,
-            number=9,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="reciprocity",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.reciprocity",
-            index=9,
-            number=10,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="tense",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.tense",
-            index=10,
-            number=11,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="voice",
-            full_name="google.cloud.language.v1beta2.PartOfSpeech.voice",
-            index=11,
-            number=12,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[
-        _PARTOFSPEECH_TAG,
-        _PARTOFSPEECH_ASPECT,
-        _PARTOFSPEECH_CASE,
-        _PARTOFSPEECH_FORM,
-        _PARTOFSPEECH_GENDER,
-        _PARTOFSPEECH_MOOD,
-        _PARTOFSPEECH_NUMBER,
-        _PARTOFSPEECH_PERSON,
-        _PARTOFSPEECH_PROPER,
-        _PARTOFSPEECH_RECIPROCITY,
-        _PARTOFSPEECH_TENSE,
-        _PARTOFSPEECH_VOICE,
-    ],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=1348,
-    serialized_end=3491,
-)
-
-
-_DEPENDENCYEDGE = _descriptor.Descriptor(
-    name="DependencyEdge",
-    full_name="google.cloud.language.v1beta2.DependencyEdge",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="head_token_index",
-            full_name="google.cloud.language.v1beta2.DependencyEdge.head_token_index",
-            index=0,
-            number=1,
-            type=5,
-            cpp_type=1,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="label",
-            full_name="google.cloud.language.v1beta2.DependencyEdge.label",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[_DEPENDENCYEDGE_LABEL],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=3494,
-    serialized_end=4544,
-)
-
-
-_ENTITYMENTION = _descriptor.Descriptor(
-    name="EntityMention",
-    full_name="google.cloud.language.v1beta2.EntityMention",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="text",
-            full_name="google.cloud.language.v1beta2.EntityMention.text",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="type",
-            full_name="google.cloud.language.v1beta2.EntityMention.type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="sentiment",
-            full_name="google.cloud.language.v1beta2.EntityMention.sentiment",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[_ENTITYMENTION_TYPE],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=4547,
-    serialized_end=4793,
-)
-
-
-_TEXTSPAN = _descriptor.Descriptor(
-    name="TextSpan",
-    full_name="google.cloud.language.v1beta2.TextSpan",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="content",
-            full_name="google.cloud.language.v1beta2.TextSpan.content",
-            index=0,
-            number=1,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="begin_offset",
-            full_name="google.cloud.language.v1beta2.TextSpan.begin_offset",
-            index=1,
-            number=2,
-            type=5,
-            cpp_type=1,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=4795,
-    serialized_end=4844,
-)
-
-
-_CLASSIFICATIONCATEGORY = _descriptor.Descriptor(
-    name="ClassificationCategory",
-    full_name="google.cloud.language.v1beta2.ClassificationCategory",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="name",
-            full_name="google.cloud.language.v1beta2.ClassificationCategory.name",
-            index=0,
-            number=1,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="confidence",
-            full_name="google.cloud.language.v1beta2.ClassificationCategory.confidence",
-            index=1,
-            number=2,
-            type=2,
-            cpp_type=6,
-            label=1,
-            has_default_value=False,
-            default_value=float(0),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=4846,
-    serialized_end=4904,
-)
-
-
-_ANALYZESENTIMENTREQUEST = _descriptor.Descriptor(
-    name="AnalyzeSentimentRequest",
-    full_name="google.cloud.language.v1beta2.AnalyzeSentimentRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1beta2.AnalyzeSentimentRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1beta2.AnalyzeSentimentRequest.encoding_type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=4907,
-    serialized_end=5064,
-)
-
-
-_ANALYZESENTIMENTRESPONSE = _descriptor.Descriptor(
-    name="AnalyzeSentimentResponse",
-    full_name="google.cloud.language.v1beta2.AnalyzeSentimentResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document_sentiment",
-            full_name="google.cloud.language.v1beta2.AnalyzeSentimentResponse.document_sentiment",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1beta2.AnalyzeSentimentResponse.language",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="sentences",
-            full_name="google.cloud.language.v1beta2.AnalyzeSentimentResponse.sentences",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5067,
-    serialized_end=5241,
-)
-
-
-_ANALYZEENTITYSENTIMENTREQUEST = _descriptor.Descriptor(
-    name="AnalyzeEntitySentimentRequest",
-    full_name="google.cloud.language.v1beta2.AnalyzeEntitySentimentRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1beta2.AnalyzeEntitySentimentRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1beta2.AnalyzeEntitySentimentRequest.encoding_type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5244,
-    serialized_end=5407,
-)
-
-
-_ANALYZEENTITYSENTIMENTRESPONSE = _descriptor.Descriptor(
-    name="AnalyzeEntitySentimentResponse",
-    full_name="google.cloud.language.v1beta2.AnalyzeEntitySentimentResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="entities",
-            full_name="google.cloud.language.v1beta2.AnalyzeEntitySentimentResponse.entities",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1beta2.AnalyzeEntitySentimentResponse.language",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5409,
-    serialized_end=5516,
-)
-
-
-_ANALYZEENTITIESREQUEST = _descriptor.Descriptor(
-    name="AnalyzeEntitiesRequest",
-    full_name="google.cloud.language.v1beta2.AnalyzeEntitiesRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1beta2.AnalyzeEntitiesRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1beta2.AnalyzeEntitiesRequest.encoding_type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5519,
-    serialized_end=5675,
-)
-
-
-_ANALYZEENTITIESRESPONSE = _descriptor.Descriptor(
-    name="AnalyzeEntitiesResponse",
-    full_name="google.cloud.language.v1beta2.AnalyzeEntitiesResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="entities",
-            full_name="google.cloud.language.v1beta2.AnalyzeEntitiesResponse.entities",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1beta2.AnalyzeEntitiesResponse.language",
-            index=1,
-            number=2,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5677,
-    serialized_end=5777,
-)
-
-
-_ANALYZESYNTAXREQUEST = _descriptor.Descriptor(
-    name="AnalyzeSyntaxRequest",
-    full_name="google.cloud.language.v1beta2.AnalyzeSyntaxRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1beta2.AnalyzeSyntaxRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1beta2.AnalyzeSyntaxRequest.encoding_type",
-            index=1,
-            number=2,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5780,
-    serialized_end=5934,
-)
-
-
-_ANALYZESYNTAXRESPONSE = _descriptor.Descriptor(
-    name="AnalyzeSyntaxResponse",
-    full_name="google.cloud.language.v1beta2.AnalyzeSyntaxResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="sentences",
-            full_name="google.cloud.language.v1beta2.AnalyzeSyntaxResponse.sentences",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="tokens",
-            full_name="google.cloud.language.v1beta2.AnalyzeSyntaxResponse.tokens",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1beta2.AnalyzeSyntaxResponse.language",
-            index=2,
-            number=3,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=5937,
-    serialized_end=6092,
-)
-
-
-_CLASSIFYTEXTREQUEST = _descriptor.Descriptor(
-    name="ClassifyTextRequest",
-    full_name="google.cloud.language.v1beta2.ClassifyTextRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1beta2.ClassifyTextRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        )
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=6094,
-    serialized_end=6179,
-)
-
-
-_CLASSIFYTEXTRESPONSE = _descriptor.Descriptor(
-    name="ClassifyTextResponse",
-    full_name="google.cloud.language.v1beta2.ClassifyTextResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="categories",
-            full_name="google.cloud.language.v1beta2.ClassifyTextResponse.categories",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        )
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=6181,
-    serialized_end=6278,
-)
-
-
-_ANNOTATETEXTREQUEST_FEATURES = _descriptor.Descriptor(
-    name="Features",
-    full_name="google.cloud.language.v1beta2.AnnotateTextRequest.Features",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="extract_syntax",
-            full_name="google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_syntax",
-            index=0,
-            number=1,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="extract_entities",
-            full_name="google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_entities",
-            index=1,
-            number=2,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="extract_document_sentiment",
-            full_name="google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_document_sentiment",
-            index=2,
-            number=3,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="extract_entity_sentiment",
-            full_name="google.cloud.language.v1beta2.AnnotateTextRequest.Features.extract_entity_sentiment",
-            index=3,
-            number=4,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="classify_text",
-            full_name="google.cloud.language.v1beta2.AnnotateTextRequest.Features.classify_text",
-            index=4,
-            number=6,
-            type=8,
-            cpp_type=7,
-            label=1,
-            has_default_value=False,
-            default_value=False,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=6521,
-    serialized_end=6674,
-)
-
-_ANNOTATETEXTREQUEST = _descriptor.Descriptor(
-    name="AnnotateTextRequest",
-    full_name="google.cloud.language.v1beta2.AnnotateTextRequest",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="document",
-            full_name="google.cloud.language.v1beta2.AnnotateTextRequest.document",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="features",
-            full_name="google.cloud.language.v1beta2.AnnotateTextRequest.features",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=b"\340A\002",
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="encoding_type",
-            full_name="google.cloud.language.v1beta2.AnnotateTextRequest.encoding_type",
-            index=2,
-            number=3,
-            type=14,
-            cpp_type=8,
-            label=1,
-            has_default_value=False,
-            default_value=0,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[_ANNOTATETEXTREQUEST_FEATURES],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=6281,
-    serialized_end=6674,
-)
-
-
-_ANNOTATETEXTRESPONSE = _descriptor.Descriptor(
-    name="AnnotateTextResponse",
-    full_name="google.cloud.language.v1beta2.AnnotateTextResponse",
-    filename=None,
-    file=DESCRIPTOR,
-    containing_type=None,
-    create_key=_descriptor._internal_create_key,
-    fields=[
-        _descriptor.FieldDescriptor(
-            name="sentences",
-            full_name="google.cloud.language.v1beta2.AnnotateTextResponse.sentences",
-            index=0,
-            number=1,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="tokens",
-            full_name="google.cloud.language.v1beta2.AnnotateTextResponse.tokens",
-            index=1,
-            number=2,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="entities",
-            full_name="google.cloud.language.v1beta2.AnnotateTextResponse.entities",
-            index=2,
-            number=3,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="document_sentiment",
-            full_name="google.cloud.language.v1beta2.AnnotateTextResponse.document_sentiment",
-            index=3,
-            number=4,
-            type=11,
-            cpp_type=10,
-            label=1,
-            has_default_value=False,
-            default_value=None,
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="language",
-            full_name="google.cloud.language.v1beta2.AnnotateTextResponse.language",
-            index=4,
-            number=5,
-            type=9,
-            cpp_type=9,
-            label=1,
-            has_default_value=False,
-            default_value=b"".decode("utf-8"),
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.FieldDescriptor(
-            name="categories",
-            full_name="google.cloud.language.v1beta2.AnnotateTextResponse.categories",
-            index=5,
-            number=6,
-            type=11,
-            cpp_type=10,
-            label=3,
-            has_default_value=False,
-            default_value=[],
-            message_type=None,
-            enum_type=None,
-            containing_type=None,
-            is_extension=False,
-            extension_scope=None,
-            serialized_options=None,
-            file=DESCRIPTOR,
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-    extensions=[],
-    nested_types=[],
-    enum_types=[],
-    serialized_options=None,
-    is_extendable=False,
-    syntax="proto3",
-    extension_ranges=[],
-    oneofs=[],
-    serialized_start=6677,
-    serialized_end=7033,
-)
-
-_DOCUMENT.fields_by_name["type"].enum_type = _DOCUMENT_TYPE
-_DOCUMENT_TYPE.containing_type = _DOCUMENT
-_DOCUMENT.oneofs_by_name["source"].fields.append(_DOCUMENT.fields_by_name["content"])
-_DOCUMENT.fields_by_name["content"].containing_oneof = _DOCUMENT.oneofs_by_name[
-    "source"
-]
-_DOCUMENT.oneofs_by_name["source"].fields.append(
-    _DOCUMENT.fields_by_name["gcs_content_uri"]
-)
-_DOCUMENT.fields_by_name["gcs_content_uri"].containing_oneof = _DOCUMENT.oneofs_by_name[
-    "source"
-]
-_SENTENCE.fields_by_name["text"].message_type = _TEXTSPAN
-_SENTENCE.fields_by_name["sentiment"].message_type = _SENTIMENT
-_ENTITY_METADATAENTRY.containing_type = _ENTITY
-_ENTITY.fields_by_name["type"].enum_type = _ENTITY_TYPE
-_ENTITY.fields_by_name["metadata"].message_type = _ENTITY_METADATAENTRY
-_ENTITY.fields_by_name["mentions"].message_type = _ENTITYMENTION
-_ENTITY.fields_by_name["sentiment"].message_type = _SENTIMENT
-_ENTITY_TYPE.containing_type = _ENTITY
-_TOKEN.fields_by_name["text"].message_type = _TEXTSPAN
-_TOKEN.fields_by_name["part_of_speech"].message_type = _PARTOFSPEECH
-_TOKEN.fields_by_name["dependency_edge"].message_type = _DEPENDENCYEDGE
-_PARTOFSPEECH.fields_by_name["tag"].enum_type = _PARTOFSPEECH_TAG
-_PARTOFSPEECH.fields_by_name["aspect"].enum_type = _PARTOFSPEECH_ASPECT
-_PARTOFSPEECH.fields_by_name["case"].enum_type = _PARTOFSPEECH_CASE
-_PARTOFSPEECH.fields_by_name["form"].enum_type = _PARTOFSPEECH_FORM
-_PARTOFSPEECH.fields_by_name["gender"].enum_type = _PARTOFSPEECH_GENDER
-_PARTOFSPEECH.fields_by_name["mood"].enum_type = _PARTOFSPEECH_MOOD
-_PARTOFSPEECH.fields_by_name["number"].enum_type = _PARTOFSPEECH_NUMBER
-_PARTOFSPEECH.fields_by_name["person"].enum_type = _PARTOFSPEECH_PERSON
-_PARTOFSPEECH.fields_by_name["proper"].enum_type = _PARTOFSPEECH_PROPER
-_PARTOFSPEECH.fields_by_name["reciprocity"].enum_type = _PARTOFSPEECH_RECIPROCITY
-_PARTOFSPEECH.fields_by_name["tense"].enum_type = _PARTOFSPEECH_TENSE
-_PARTOFSPEECH.fields_by_name["voice"].enum_type = _PARTOFSPEECH_VOICE
-_PARTOFSPEECH_TAG.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_ASPECT.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_CASE.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_FORM.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_GENDER.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_MOOD.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_NUMBER.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_PERSON.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_PROPER.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_RECIPROCITY.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_TENSE.containing_type = _PARTOFSPEECH
-_PARTOFSPEECH_VOICE.containing_type = _PARTOFSPEECH
-_DEPENDENCYEDGE.fields_by_name["label"].enum_type = _DEPENDENCYEDGE_LABEL
-_DEPENDENCYEDGE_LABEL.containing_type = _DEPENDENCYEDGE
-_ENTITYMENTION.fields_by_name["text"].message_type = _TEXTSPAN
-_ENTITYMENTION.fields_by_name["type"].enum_type = _ENTITYMENTION_TYPE
-_ENTITYMENTION.fields_by_name["sentiment"].message_type = _SENTIMENT
-_ENTITYMENTION_TYPE.containing_type = _ENTITYMENTION
-_ANALYZESENTIMENTREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANALYZESENTIMENTREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANALYZESENTIMENTRESPONSE.fields_by_name["document_sentiment"].message_type = _SENTIMENT
-_ANALYZESENTIMENTRESPONSE.fields_by_name["sentences"].message_type = _SENTENCE
-_ANALYZEENTITYSENTIMENTREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANALYZEENTITYSENTIMENTREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANALYZEENTITYSENTIMENTRESPONSE.fields_by_name["entities"].message_type = _ENTITY
-_ANALYZEENTITIESREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANALYZEENTITIESREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANALYZEENTITIESRESPONSE.fields_by_name["entities"].message_type = _ENTITY
-_ANALYZESYNTAXREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANALYZESYNTAXREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANALYZESYNTAXRESPONSE.fields_by_name["sentences"].message_type = _SENTENCE
-_ANALYZESYNTAXRESPONSE.fields_by_name["tokens"].message_type = _TOKEN
-_CLASSIFYTEXTREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_CLASSIFYTEXTRESPONSE.fields_by_name[
-    "categories"
-].message_type = _CLASSIFICATIONCATEGORY
-_ANNOTATETEXTREQUEST_FEATURES.containing_type = _ANNOTATETEXTREQUEST
-_ANNOTATETEXTREQUEST.fields_by_name["document"].message_type = _DOCUMENT
-_ANNOTATETEXTREQUEST.fields_by_name[
-    "features"
-].message_type = _ANNOTATETEXTREQUEST_FEATURES
-_ANNOTATETEXTREQUEST.fields_by_name["encoding_type"].enum_type = _ENCODINGTYPE
-_ANNOTATETEXTRESPONSE.fields_by_name["sentences"].message_type = _SENTENCE
-_ANNOTATETEXTRESPONSE.fields_by_name["tokens"].message_type = _TOKEN
-_ANNOTATETEXTRESPONSE.fields_by_name["entities"].message_type = _ENTITY
-_ANNOTATETEXTRESPONSE.fields_by_name["document_sentiment"].message_type = _SENTIMENT
-_ANNOTATETEXTRESPONSE.fields_by_name[
-    "categories"
-].message_type = _CLASSIFICATIONCATEGORY
-DESCRIPTOR.message_types_by_name["Document"] = _DOCUMENT
-DESCRIPTOR.message_types_by_name["Sentence"] = _SENTENCE
-DESCRIPTOR.message_types_by_name["Entity"] = _ENTITY
-DESCRIPTOR.message_types_by_name["Token"] = _TOKEN
-DESCRIPTOR.message_types_by_name["Sentiment"] = _SENTIMENT
-DESCRIPTOR.message_types_by_name["PartOfSpeech"] = _PARTOFSPEECH
-DESCRIPTOR.message_types_by_name["DependencyEdge"] = _DEPENDENCYEDGE
-DESCRIPTOR.message_types_by_name["EntityMention"] = _ENTITYMENTION
-DESCRIPTOR.message_types_by_name["TextSpan"] = _TEXTSPAN
-DESCRIPTOR.message_types_by_name["ClassificationCategory"] = _CLASSIFICATIONCATEGORY
-DESCRIPTOR.message_types_by_name["AnalyzeSentimentRequest"] = _ANALYZESENTIMENTREQUEST
-DESCRIPTOR.message_types_by_name["AnalyzeSentimentResponse"] = _ANALYZESENTIMENTRESPONSE
-DESCRIPTOR.message_types_by_name[
-    "AnalyzeEntitySentimentRequest"
-] = _ANALYZEENTITYSENTIMENTREQUEST
-DESCRIPTOR.message_types_by_name[
-    "AnalyzeEntitySentimentResponse"
-] = _ANALYZEENTITYSENTIMENTRESPONSE
-DESCRIPTOR.message_types_by_name["AnalyzeEntitiesRequest"] = _ANALYZEENTITIESREQUEST
-DESCRIPTOR.message_types_by_name["AnalyzeEntitiesResponse"] = _ANALYZEENTITIESRESPONSE
-DESCRIPTOR.message_types_by_name["AnalyzeSyntaxRequest"] = _ANALYZESYNTAXREQUEST
-DESCRIPTOR.message_types_by_name["AnalyzeSyntaxResponse"] = _ANALYZESYNTAXRESPONSE
-DESCRIPTOR.message_types_by_name["ClassifyTextRequest"] = _CLASSIFYTEXTREQUEST
-DESCRIPTOR.message_types_by_name["ClassifyTextResponse"] = _CLASSIFYTEXTRESPONSE
-DESCRIPTOR.message_types_by_name["AnnotateTextRequest"] = _ANNOTATETEXTREQUEST
-DESCRIPTOR.message_types_by_name["AnnotateTextResponse"] = _ANNOTATETEXTRESPONSE
-DESCRIPTOR.enum_types_by_name["EncodingType"] = _ENCODINGTYPE
-_sym_db.RegisterFileDescriptor(DESCRIPTOR)
-
-Document = _reflection.GeneratedProtocolMessageType(
-    "Document",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _DOCUMENT,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """################################################################ #
-  Represents the input to API methods.
-  
-  Attributes:
-      type:
-          Required. If the type is not set or is ``TYPE_UNSPECIFIED``,
-          returns an ``INVALID_ARGUMENT`` error.
-      source:
-          The source of the document: a string containing the content or
-          a Google Cloud Storage URI.
-      content:
-          The content of the input in string format. Cloud audit logging
-          exempt since it is based on user data.
-      gcs_content_uri:
-          The Google Cloud Storage URI where the file content is
-          located. This URI must be of the form:
-          gs://bucket_name/object_name. For more details, see
-          https://cloud.google.com/storage/docs/reference-uris. NOTE:
-          Cloud Storage object versioning is not supported.
-      language:
-          The language of the document (if not specified, the language
-          is automatically detected). Both ISO and BCP-47 language codes
-          are accepted. `Language Support
-          <https://cloud.google.com/natural-language/docs/languages>`__
-          lists currently supported languages for each API method. If
-          the language (either specified by the caller or automatically
-          detected) is not supported by the called API method, an
-          ``INVALID_ARGUMENT`` error is returned.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.Document)
-    },
-)
-_sym_db.RegisterMessage(Document)
-
-Sentence = _reflection.GeneratedProtocolMessageType(
-    "Sentence",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _SENTENCE,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """Represents a sentence in the input document.
-  
-  Attributes:
-      text:
-          The sentence text.
-      sentiment:
-          For calls to [AnalyzeSentiment][] or if [AnnotateTextRequest.F
-          eatures.extract_document_sentiment][google.cloud.language.v1be
-          ta2.AnnotateTextRequest.Features.extract_document_sentiment]
-          is set to true, this field will contain the sentiment for the
-          sentence.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.Sentence)
-    },
-)
-_sym_db.RegisterMessage(Sentence)
-
-Entity = _reflection.GeneratedProtocolMessageType(
-    "Entity",
-    (_message.Message,),
-    {
-        "MetadataEntry": _reflection.GeneratedProtocolMessageType(
-            "MetadataEntry",
-            (_message.Message,),
-            {
-                "DESCRIPTOR": _ENTITY_METADATAENTRY,
-                "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2"
-                # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.Entity.MetadataEntry)
-            },
-        ),
-        "DESCRIPTOR": _ENTITY,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """Represents a phrase in the text that is a known entity, such as a
-  person, an organization, or location. The API associates information,
-  such as salience and mentions, with entities.
-  
-  Attributes:
-      name:
-          The representative name for the entity.
-      type:
-          The entity type.
-      metadata:
-          Metadata associated with the entity.  For most entity types,
-          the metadata is a Wikipedia URL (``wikipedia_url``) and
-          Knowledge Graph MID (``mid``), if they are available. For the
-          metadata associated with other entity types, see the Type
-          table below.
-      salience:
-          The salience score associated with the entity in the [0, 1.0]
-          range.  The salience score for an entity provides information
-          about the importance or centrality of that entity to the
-          entire document text. Scores closer to 0 are less salient,
-          while scores closer to 1.0 are highly salient.
-      mentions:
-          The mentions of this entity in the input document. The API
-          currently supports proper noun mentions.
-      sentiment:
-          For calls to [AnalyzeEntitySentiment][] or if [AnnotateTextReq
-          uest.Features.extract_entity_sentiment][google.cloud.language.
-          v1beta2.AnnotateTextRequest.Features.extract_entity_sentiment]
-          is set to true, this field will contain the aggregate
-          sentiment expressed for this entity in the provided document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.Entity)
-    },
-)
-_sym_db.RegisterMessage(Entity)
-_sym_db.RegisterMessage(Entity.MetadataEntry)
-
-Token = _reflection.GeneratedProtocolMessageType(
-    "Token",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _TOKEN,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """Represents the smallest syntactic building block of the text.
-  
-  Attributes:
-      text:
-          The token text.
-      part_of_speech:
-          Parts of speech tag for this token.
-      dependency_edge:
-          Dependency tree parse for this token.
-      lemma:
-          \ `Lemma
-          <https://en.wikipedia.org/wiki/Lemma_%28morphology%29>`__ of
-          the token.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.Token)
-    },
-)
-_sym_db.RegisterMessage(Token)
-
-Sentiment = _reflection.GeneratedProtocolMessageType(
-    "Sentiment",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _SENTIMENT,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """Represents the feeling associated with the entire text or entities in
-  the text. Next ID: 6
-  
-  Attributes:
-      magnitude:
-          A non-negative number in the [0, +inf) range, which represents
-          the absolute magnitude of sentiment regardless of score
-          (positive or negative).
-      score:
-          Sentiment score between -1.0 (negative sentiment) and 1.0
-          (positive sentiment).
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.Sentiment)
-    },
-)
-_sym_db.RegisterMessage(Sentiment)
-
-PartOfSpeech = _reflection.GeneratedProtocolMessageType(
-    "PartOfSpeech",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _PARTOFSPEECH,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """Represents part of speech information for a token.
-  
-  Attributes:
-      tag:
-          The part of speech tag.
-      aspect:
-          The grammatical aspect.
-      case:
-          The grammatical case.
-      form:
-          The grammatical form.
-      gender:
-          The grammatical gender.
-      mood:
-          The grammatical mood.
-      number:
-          The grammatical number.
-      person:
-          The grammatical person.
-      proper:
-          The grammatical properness.
-      reciprocity:
-          The grammatical reciprocity.
-      tense:
-          The grammatical tense.
-      voice:
-          The grammatical voice.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.PartOfSpeech)
-    },
-)
-_sym_db.RegisterMessage(PartOfSpeech)
-
-DependencyEdge = _reflection.GeneratedProtocolMessageType(
-    "DependencyEdge",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _DEPENDENCYEDGE,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """Represents dependency parse tree information for a token.
-  
-  Attributes:
-      head_token_index:
-          Represents the head of this token in the dependency tree. This
-          is the index of the token which has an arc going to this
-          token. The index is the position of the token in the array of
-          tokens returned by the API method. If this token is a root
-          token, then the ``head_token_index`` is its own index.
-      label:
-          The parse label for the token.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.DependencyEdge)
-    },
-)
-_sym_db.RegisterMessage(DependencyEdge)
-
-EntityMention = _reflection.GeneratedProtocolMessageType(
-    "EntityMention",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ENTITYMENTION,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """Represents a mention for an entity in the text. Currently, proper noun
-  mentions are supported.
-  
-  Attributes:
-      text:
-          The mention text.
-      type:
-          The type of the entity mention.
-      sentiment:
-          For calls to [AnalyzeEntitySentiment][] or if [AnnotateTextReq
-          uest.Features.extract_entity_sentiment][google.cloud.language.
-          v1beta2.AnnotateTextRequest.Features.extract_entity_sentiment]
-          is set to true, this field will contain the sentiment
-          expressed for this mention of the entity in the provided
-          document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.EntityMention)
-    },
-)
-_sym_db.RegisterMessage(EntityMention)
-
-TextSpan = _reflection.GeneratedProtocolMessageType(
-    "TextSpan",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _TEXTSPAN,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """Represents an output piece of text.
-  
-  Attributes:
-      content:
-          The content of the output text.
-      begin_offset:
-          The API calculates the beginning offset of the content in the
-          original document according to the
-          [EncodingType][google.cloud.language.v1beta2.EncodingType]
-          specified in the API request.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.TextSpan)
-    },
-)
-_sym_db.RegisterMessage(TextSpan)
-
-ClassificationCategory = _reflection.GeneratedProtocolMessageType(
-    "ClassificationCategory",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _CLASSIFICATIONCATEGORY,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """Represents a category returned from the text classifier.
-  
-  Attributes:
-      name:
-          The name of the category representing the document, from the
-          `predefined taxonomy <https://cloud.google.com/natural-
-          language/docs/categories>`__.
-      confidence:
-          The classifier’s confidence of the category. Number represents
-          how certain the classifier is that this category represents
-          the given text.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.ClassificationCategory)
-    },
-)
-_sym_db.RegisterMessage(ClassificationCategory)
-
-AnalyzeSentimentRequest = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeSentimentRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZESENTIMENTREQUEST,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The sentiment analysis request message.
-  
-  Attributes:
-      document:
-          Required. Input document.
-      encoding_type:
-          The encoding type used by the API to calculate sentence
-          offsets for the sentence sentiment.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnalyzeSentimentRequest)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeSentimentRequest)
-
-AnalyzeSentimentResponse = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeSentimentResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZESENTIMENTRESPONSE,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The sentiment analysis response message.
-  
-  Attributes:
-      document_sentiment:
-          The overall sentiment of the input document.
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1beta2.Document.language] field for more
-          details.
-      sentences:
-          The sentiment for all the sentences in the document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnalyzeSentimentResponse)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeSentimentResponse)
-
-AnalyzeEntitySentimentRequest = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeEntitySentimentRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZEENTITYSENTIMENTREQUEST,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The entity-level sentiment analysis request message.
-  
-  Attributes:
-      document:
-          Required. Input document.
-      encoding_type:
-          The encoding type used by the API to calculate offsets.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnalyzeEntitySentimentRequest)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeEntitySentimentRequest)
-
-AnalyzeEntitySentimentResponse = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeEntitySentimentResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZEENTITYSENTIMENTRESPONSE,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The entity-level sentiment analysis response message.
-  
-  Attributes:
-      entities:
-          The recognized entities in the input document with associated
-          sentiments.
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1beta2.Document.language] field for more
-          details.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnalyzeEntitySentimentResponse)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeEntitySentimentResponse)
-
-AnalyzeEntitiesRequest = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeEntitiesRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZEENTITIESREQUEST,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The entity analysis request message.
-  
-  Attributes:
-      document:
-          Required. Input document.
-      encoding_type:
-          The encoding type used by the API to calculate offsets.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnalyzeEntitiesRequest)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeEntitiesRequest)
-
-AnalyzeEntitiesResponse = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeEntitiesResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZEENTITIESRESPONSE,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The entity analysis response message.
-  
-  Attributes:
-      entities:
-          The recognized entities in the input document.
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1beta2.Document.language] field for more
-          details.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnalyzeEntitiesResponse)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeEntitiesResponse)
-
-AnalyzeSyntaxRequest = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeSyntaxRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZESYNTAXREQUEST,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The syntax analysis request message.
-  
-  Attributes:
-      document:
-          Required. Input document.
-      encoding_type:
-          The encoding type used by the API to calculate offsets.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnalyzeSyntaxRequest)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeSyntaxRequest)
-
-AnalyzeSyntaxResponse = _reflection.GeneratedProtocolMessageType(
-    "AnalyzeSyntaxResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANALYZESYNTAXRESPONSE,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The syntax analysis response message.
-  
-  Attributes:
-      sentences:
-          Sentences in the input document.
-      tokens:
-          Tokens, along with their syntactic information, in the input
-          document.
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1beta2.Document.language] field for more
-          details.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnalyzeSyntaxResponse)
-    },
-)
-_sym_db.RegisterMessage(AnalyzeSyntaxResponse)
-
-ClassifyTextRequest = _reflection.GeneratedProtocolMessageType(
-    "ClassifyTextRequest",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _CLASSIFYTEXTREQUEST,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The document classification request message.
-  
-  Attributes:
-      document:
-          Required. Input document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.ClassifyTextRequest)
-    },
-)
-_sym_db.RegisterMessage(ClassifyTextRequest)
-
-ClassifyTextResponse = _reflection.GeneratedProtocolMessageType(
-    "ClassifyTextResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _CLASSIFYTEXTRESPONSE,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The document classification response message.
-  
-  Attributes:
-      categories:
-          Categories representing the input document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.ClassifyTextResponse)
-    },
-)
-_sym_db.RegisterMessage(ClassifyTextResponse)
-
-AnnotateTextRequest = _reflection.GeneratedProtocolMessageType(
-    "AnnotateTextRequest",
-    (_message.Message,),
-    {
-        "Features": _reflection.GeneratedProtocolMessageType(
-            "Features",
-            (_message.Message,),
-            {
-                "DESCRIPTOR": _ANNOTATETEXTREQUEST_FEATURES,
-                "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-                "__doc__": """All available features for sentiment, syntax, and semantic analysis.
-    Setting each one to true will enable that specific analysis for the
-    input. Next ID: 10
-    
-    Attributes:
-        extract_syntax:
-            Extract syntax information.
-        extract_entities:
-            Extract entities.
-        extract_document_sentiment:
-            Extract document-level sentiment.
-        extract_entity_sentiment:
-            Extract entities and their associated sentiment.
-        classify_text:
-            Classify the full document into categories. If this is true,
-            the API will use the default model which classifies into a
-            `predefined taxonomy <https://cloud.google.com/natural-
-            language/docs/categories>`__.
-    """,
-                # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnnotateTextRequest.Features)
-            },
-        ),
-        "DESCRIPTOR": _ANNOTATETEXTREQUEST,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The request message for the text annotation API, which can perform
-  multiple analysis types (sentiment, entities, and syntax) in one call.
-  
-  Attributes:
-      document:
-          Required. Input document.
-      features:
-          Required. The enabled features.
-      encoding_type:
-          The encoding type used by the API to calculate offsets.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnnotateTextRequest)
-    },
-)
-_sym_db.RegisterMessage(AnnotateTextRequest)
-_sym_db.RegisterMessage(AnnotateTextRequest.Features)
-
-AnnotateTextResponse = _reflection.GeneratedProtocolMessageType(
-    "AnnotateTextResponse",
-    (_message.Message,),
-    {
-        "DESCRIPTOR": _ANNOTATETEXTRESPONSE,
-        "__module__": "google.cloud.language_v1beta2.proto.language_service_pb2",
-        "__doc__": """The text annotations response message.
-  
-  Attributes:
-      sentences:
-          Sentences in the input document. Populated if the user enables
-          [AnnotateTextRequest.Features.extract_syntax][google.cloud.lan
-          guage.v1beta2.AnnotateTextRequest.Features.extract_syntax].
-      tokens:
-          Tokens, along with their syntactic information, in the input
-          document. Populated if the user enables [AnnotateTextRequest.F
-          eatures.extract_syntax][google.cloud.language.v1beta2.Annotate
-          TextRequest.Features.extract_syntax].
-      entities:
-          Entities, along with their semantic information, in the input
-          document. Populated if the user enables [AnnotateTextRequest.F
-          eatures.extract_entities][google.cloud.language.v1beta2.Annota
-          teTextRequest.Features.extract_entities].
-      document_sentiment:
-          The overall sentiment for the document. Populated if the user
-          enables [AnnotateTextRequest.Features.extract_document_sentime
-          nt][google.cloud.language.v1beta2.AnnotateTextRequest.Features
-          .extract_document_sentiment].
-      language:
-          The language of the text, which will be the same as the
-          language specified in the request or, if not specified, the
-          automatically-detected language. See [Document.language][googl
-          e.cloud.language.v1beta2.Document.language] field for more
-          details.
-      categories:
-          Categories identified in the input document.
-  """,
-        # @@protoc_insertion_point(class_scope:google.cloud.language.v1beta2.AnnotateTextResponse)
-    },
-)
-_sym_db.RegisterMessage(AnnotateTextResponse)
-
-
-DESCRIPTOR._options = None
-_ENTITY_METADATAENTRY._options = None
-_ANALYZESENTIMENTREQUEST.fields_by_name["document"]._options = None
-_ANALYZEENTITYSENTIMENTREQUEST.fields_by_name["document"]._options = None
-_ANALYZEENTITIESREQUEST.fields_by_name["document"]._options = None
-_ANALYZESYNTAXREQUEST.fields_by_name["document"]._options = None
-_CLASSIFYTEXTREQUEST.fields_by_name["document"]._options = None
-_ANNOTATETEXTREQUEST.fields_by_name["document"]._options = None
-_ANNOTATETEXTREQUEST.fields_by_name["features"]._options = None
-
-_LANGUAGESERVICE = _descriptor.ServiceDescriptor(
-    name="LanguageService",
-    full_name="google.cloud.language.v1beta2.LanguageService",
-    file=DESCRIPTOR,
-    index=0,
-    serialized_options=b"\312A\027language.googleapis.com\322A]https://www.googleapis.com/auth/cloud-language,https://www.googleapis.com/auth/cloud-platform",
-    create_key=_descriptor._internal_create_key,
-    serialized_start=7094,
-    serialized_end=8512,
-    methods=[
-        _descriptor.MethodDescriptor(
-            name="AnalyzeSentiment",
-            full_name="google.cloud.language.v1beta2.LanguageService.AnalyzeSentiment",
-            index=0,
-            containing_service=None,
-            input_type=_ANALYZESENTIMENTREQUEST,
-            output_type=_ANALYZESENTIMENTRESPONSE,
-            serialized_options=b'\202\323\344\223\002("#/v1beta2/documents:analyzeSentiment:\001*\332A\026document,encoding_type\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="AnalyzeEntities",
-            full_name="google.cloud.language.v1beta2.LanguageService.AnalyzeEntities",
-            index=1,
-            containing_service=None,
-            input_type=_ANALYZEENTITIESREQUEST,
-            output_type=_ANALYZEENTITIESRESPONSE,
-            serialized_options=b'\202\323\344\223\002\'""/v1beta2/documents:analyzeEntities:\001*\332A\026document,encoding_type\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="AnalyzeEntitySentiment",
-            full_name="google.cloud.language.v1beta2.LanguageService.AnalyzeEntitySentiment",
-            index=2,
-            containing_service=None,
-            input_type=_ANALYZEENTITYSENTIMENTREQUEST,
-            output_type=_ANALYZEENTITYSENTIMENTRESPONSE,
-            serialized_options=b'\202\323\344\223\002.")/v1beta2/documents:analyzeEntitySentiment:\001*\332A\026document,encoding_type\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="AnalyzeSyntax",
-            full_name="google.cloud.language.v1beta2.LanguageService.AnalyzeSyntax",
-            index=3,
-            containing_service=None,
-            input_type=_ANALYZESYNTAXREQUEST,
-            output_type=_ANALYZESYNTAXRESPONSE,
-            serialized_options=b'\202\323\344\223\002%" /v1beta2/documents:analyzeSyntax:\001*\332A\026document,encoding_type\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="ClassifyText",
-            full_name="google.cloud.language.v1beta2.LanguageService.ClassifyText",
-            index=4,
-            containing_service=None,
-            input_type=_CLASSIFYTEXTREQUEST,
-            output_type=_CLASSIFYTEXTRESPONSE,
-            serialized_options=b'\202\323\344\223\002$"\037/v1beta2/documents:classifyText:\001*\332A\010document',
-            create_key=_descriptor._internal_create_key,
-        ),
-        _descriptor.MethodDescriptor(
-            name="AnnotateText",
-            full_name="google.cloud.language.v1beta2.LanguageService.AnnotateText",
-            index=5,
-            containing_service=None,
-            input_type=_ANNOTATETEXTREQUEST,
-            output_type=_ANNOTATETEXTRESPONSE,
-            serialized_options=b'\202\323\344\223\002$"\037/v1beta2/documents:annotateText:\001*\332A\037document,features,encoding_type\332A\021document,features',
-            create_key=_descriptor._internal_create_key,
-        ),
-    ],
-)
-_sym_db.RegisterServiceDescriptor(_LANGUAGESERVICE)
-
-DESCRIPTOR.services_by_name["LanguageService"] = _LANGUAGESERVICE
-
-# @@protoc_insertion_point(module_scope)
diff --git a/google/cloud/language_v1beta2/proto/language_service_pb2_grpc.py b/google/cloud/language_v1beta2/proto/language_service_pb2_grpc.py
deleted file mode 100644
index 4db8cf82..00000000
--- a/google/cloud/language_v1beta2/proto/language_service_pb2_grpc.py
+++ /dev/null
@@ -1,142 +0,0 @@
-# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
-import grpc
-
-from google.cloud.language_v1beta2.proto import (
-    language_service_pb2 as google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2,
-)
-
-
-class LanguageServiceStub(object):
-    """Provides text analysis operations such as sentiment analysis and entity
-  recognition.
-  """
-
-    def __init__(self, channel):
-        """Constructor.
-
-    Args:
-      channel: A grpc.Channel.
-    """
-        self.AnalyzeSentiment = channel.unary_unary(
-            "/google.cloud.language.v1beta2.LanguageService/AnalyzeSentiment",
-            request_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeSentimentRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeSentimentResponse.FromString,
-        )
-        self.AnalyzeEntities = channel.unary_unary(
-            "/google.cloud.language.v1beta2.LanguageService/AnalyzeEntities",
-            request_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeEntitiesRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeEntitiesResponse.FromString,
-        )
-        self.AnalyzeEntitySentiment = channel.unary_unary(
-            "/google.cloud.language.v1beta2.LanguageService/AnalyzeEntitySentiment",
-            request_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeEntitySentimentRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeEntitySentimentResponse.FromString,
-        )
-        self.AnalyzeSyntax = channel.unary_unary(
-            "/google.cloud.language.v1beta2.LanguageService/AnalyzeSyntax",
-            request_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeSyntaxRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeSyntaxResponse.FromString,
-        )
-        self.ClassifyText = channel.unary_unary(
-            "/google.cloud.language.v1beta2.LanguageService/ClassifyText",
-            request_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.ClassifyTextRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.ClassifyTextResponse.FromString,
-        )
-        self.AnnotateText = channel.unary_unary(
-            "/google.cloud.language.v1beta2.LanguageService/AnnotateText",
-            request_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnnotateTextRequest.SerializeToString,
-            response_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnnotateTextResponse.FromString,
-        )
-
-
-class LanguageServiceServicer(object):
-    """Provides text analysis operations such as sentiment analysis and entity
-  recognition.
-  """
-
-    def AnalyzeSentiment(self, request, context):
-        """Analyzes the sentiment of the provided text.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def AnalyzeEntities(self, request, context):
-        """Finds named entities (currently proper names and common nouns) in the text
-    along with entity types, salience, mentions for each entity, and
-    other properties.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def AnalyzeEntitySentiment(self, request, context):
-        """Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.AnalyzeEntities] in the text and analyzes
-    sentiment associated with each entity and its mentions.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def AnalyzeSyntax(self, request, context):
-        """Analyzes the syntax of the text and provides sentence boundaries and
-    tokenization along with part-of-speech tags, dependency trees, and other
-    properties.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def ClassifyText(self, request, context):
-        """Classifies a document into categories.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-    def AnnotateText(self, request, context):
-        """A convenience method that provides all syntax, sentiment, entity, and
-    classification features in one call.
-    """
-        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-        context.set_details("Method not implemented!")
-        raise NotImplementedError("Method not implemented!")
-
-
-def add_LanguageServiceServicer_to_server(servicer, server):
-    rpc_method_handlers = {
-        "AnalyzeSentiment": grpc.unary_unary_rpc_method_handler(
-            servicer.AnalyzeSentiment,
-            request_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeSentimentRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeSentimentResponse.SerializeToString,
-        ),
-        "AnalyzeEntities": grpc.unary_unary_rpc_method_handler(
-            servicer.AnalyzeEntities,
-            request_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeEntitiesRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeEntitiesResponse.SerializeToString,
-        ),
-        "AnalyzeEntitySentiment": grpc.unary_unary_rpc_method_handler(
-            servicer.AnalyzeEntitySentiment,
-            request_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeEntitySentimentRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeEntitySentimentResponse.SerializeToString,
-        ),
-        "AnalyzeSyntax": grpc.unary_unary_rpc_method_handler(
-            servicer.AnalyzeSyntax,
-            request_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeSyntaxRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnalyzeSyntaxResponse.SerializeToString,
-        ),
-        "ClassifyText": grpc.unary_unary_rpc_method_handler(
-            servicer.ClassifyText,
-            request_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.ClassifyTextRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.ClassifyTextResponse.SerializeToString,
-        ),
-        "AnnotateText": grpc.unary_unary_rpc_method_handler(
-            servicer.AnnotateText,
-            request_deserializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnnotateTextRequest.FromString,
-            response_serializer=google_dot_cloud_dot_language__v1beta2_dot_proto_dot_language__service__pb2.AnnotateTextResponse.SerializeToString,
-        ),
-    }
-    generic_handler = grpc.method_handlers_generic_handler(
-        "google.cloud.language.v1beta2.LanguageService", rpc_method_handlers
-    )
-    server.add_generic_rpc_handlers((generic_handler,))
diff --git a/google/cloud/language_v1beta2/types.py b/google/cloud/language_v1beta2/types.py
deleted file mode 100644
index 1a33a23e..00000000
--- a/google/cloud/language_v1beta2/types.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# Copyright 2017, Google LLC All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from __future__ import absolute_import
-import sys
-
-from google.api import http_pb2
-from google.longrunning import operations_pb2
-from google.protobuf import any_pb2
-from google.protobuf import descriptor_pb2
-from google.protobuf import empty_pb2
-from google.protobuf import timestamp_pb2
-from google.rpc import status_pb2
-
-from google.api_core.protobuf_helpers import get_messages
-from google.cloud.language_v1beta2.proto import language_service_pb2
-
-
-_shared_modules = [
-    http_pb2,
-    operations_pb2,
-    any_pb2,
-    descriptor_pb2,
-    empty_pb2,
-    timestamp_pb2,
-    status_pb2,
-]
-
-_local_modules = [language_service_pb2]
-
-names = []
-
-for module in _shared_modules:
-    for name, message in get_messages(module).items():
-        setattr(sys.modules[__name__], name, message)
-        names.append(name)
-
-for module in _local_modules:
-    for name, message in get_messages(module).items():
-        message.__module__ = "google.cloud.language_v1beta2.types"
-        setattr(sys.modules[__name__], name, message)
-        names.append(name)
-
-__all__ = tuple(sorted(names))
diff --git a/noxfile.py b/noxfile.py
deleted file mode 100644
index 6b4fa3b0..00000000
--- a/noxfile.py
+++ /dev/null
@@ -1,172 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2018 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-
-from __future__ import absolute_import
-import os
-import shutil
-
-import nox
-
-
-BLACK_VERSION = "black==19.3b0"
-BLACK_PATHS = ["docs", "google", "tests", "noxfile.py", "setup.py"]
-
-if os.path.exists("samples"):
-    BLACK_PATHS.append("samples")
-
-
-@nox.session(python="3.7")
-def lint(session):
-    """Run linters.
-
-    Returns a failure if the linters find linting errors or sufficiently
-    serious code quality issues.
-    """
-    session.install("flake8", BLACK_VERSION)
-    session.run("black", "--check", *BLACK_PATHS)
-    session.run("flake8", "google", "tests")
-
-
-@nox.session(python="3.6")
-def blacken(session):
-    """Run black.
-
-    Format code to uniform standard.
-
-    This currently uses Python 3.6 due to the automated Kokoro run of synthtool.
-    That run uses an image that doesn't have 3.6 installed. Before updating this
-    check the state of the `gcp_ubuntu_config` we use for that Kokoro run.
-    """
-    session.install(BLACK_VERSION)
-    session.run("black", *BLACK_PATHS)
-
-
-@nox.session(python="3.7")
-def lint_setup_py(session):
-    """Verify that setup.py is valid (including RST check)."""
-    session.install("docutils", "pygments")
-    session.run("python", "setup.py", "check", "--restructuredtext", "--strict")
-
-
-def default(session):
-    # Install all test dependencies, then install this package in-place.
-    session.install("mock", "pytest", "pytest-cov")
-    session.install("-e", ".")
-
-    # Run py.test against the unit tests.
-    session.run(
-        "py.test",
-        "--quiet",
-        "--cov=google.cloud",
-        "--cov=tests.unit",
-        "--cov-append",
-        "--cov-config=.coveragerc",
-        "--cov-report=",
-        "--cov-fail-under=0",
-        os.path.join("tests", "unit"),
-        *session.posargs,
-    )
-
-
-@nox.session(python=["2.7", "3.5", "3.6", "3.7", "3.8"])
-def unit(session):
-    """Run the unit test suite."""
-    default(session)
-
-
-@nox.session(python=["2.7", "3.7"])
-def system(session):
-    """Run the system test suite."""
-    system_test_path = os.path.join("tests", "system.py")
-    system_test_folder_path = os.path.join("tests", "system")
-    # Sanity check: Only run tests if the environment variable is set.
-    if not os.environ.get("GOOGLE_APPLICATION_CREDENTIALS", ""):
-        session.skip("Credentials must be set via environment variable")
-
-    system_test_exists = os.path.exists(system_test_path)
-    system_test_folder_exists = os.path.exists(system_test_folder_path)
-    # Sanity check: only run tests if found.
-    if not system_test_exists and not system_test_folder_exists:
-        session.skip("System tests were not found")
-
-    # Use pre-release gRPC for system tests.
-    session.install("--pre", "grpcio")
-
-    # Install all test dependencies, then install this package into the
-    # virtualenv's dist-packages.
-    session.install("mock", "pytest")
-    session.install("-e", ".")
-
-    # Run py.test against the system tests.
-    if system_test_exists:
-        session.run("py.test", "--quiet", system_test_path, *session.posargs)
-    if system_test_folder_exists:
-        session.run("py.test", "--quiet", system_test_folder_path, *session.posargs)
-
-
-@nox.session(python=["3.7"])
-def samples(session):
-    """Run the samples test suite."""
-    # Sanity check: Only run tests if the environment variable is set.
-    if not os.environ.get("GOOGLE_APPLICATION_CREDENTIALS", ""):
-        session.skip("Credentials must be set via environment variable")
-
-    samples_path = "samples"
-    if not os.path.exists(samples_path):
-        session.skip("Samples not found.")
-
-    session.install("pyyaml")
-    session.install("sample-tester")
-    session.install("-e", ".")
-
-    session.run("sample-tester", samples_path, *session.posargs)
-
-
-@nox.session(python="3.7")
-def cover(session):
-    """Run the final coverage report.
-
-    This outputs the coverage report aggregating coverage from the unit
-    test runs (not system test runs), and then erases coverage data.
-    """
-    session.install("coverage", "pytest-cov")
-    session.run("coverage", "report", "--show-missing", "--fail-under=87")
-
-    session.run("coverage", "erase")
-
-
-@nox.session(python="3.7")
-def docs(session):
-    """Build the docs for this library."""
-
-    session.install("-e", ".")
-    session.install("sphinx<3.0.0", "alabaster", "recommonmark")
-
-    shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True)
-    session.run(
-        "sphinx-build",
-        "-W",  # warnings as errors
-        "-T",  # show full traceback on exception
-        "-N",  # no colors
-        "-b",
-        "html",
-        "-d",
-        os.path.join("docs", "_build", "doctrees", ""),
-        os.path.join("docs", ""),
-        os.path.join("docs", "_build", "html", ""),
-    )
diff --git a/pylint.config.py b/pylint.config.py
deleted file mode 100644
index 5d64b9d2..00000000
--- a/pylint.config.py
+++ /dev/null
@@ -1,25 +0,0 @@
-# Copyright 2017 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""This module is used to configure gcp-devrel-py-tools run-pylint."""
-
-# Library configuration
-
-# library_additions = {}
-# library_replacements = {}
-
-# Test configuration
-
-# test_additions = copy.deepcopy(library_additions)
-# test_replacements = copy.deepcopy(library_replacements)
diff --git a/renovate.json b/renovate.json
deleted file mode 100644
index 4fa94931..00000000
--- a/renovate.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "extends": [
-    "config:base",  ":preserveSemverRanges"
-  ]
-}
diff --git a/samples/v1/language_classify_gcs.py b/samples/v1/language_classify_gcs.py
deleted file mode 100644
index 941640b1..00000000
--- a/samples/v1/language_classify_gcs.py
+++ /dev/null
@@ -1,85 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_classify_gcs")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Classify Content (GCS)
-#   description: Classifying Content in text file stored in Cloud Storage
-#   usage: python3 samples/v1/language_classify_gcs.py [--gcs_content_uri "gs://cloud-samples-data/language/classify-entertainment.txt"]
-
-# [START language_classify_gcs]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_classify_text(gcs_content_uri):
-    """
-    Classifying Content in text file stored in Cloud Storage
-
-    Args:
-      gcs_content_uri Google Cloud Storage URI where the file content is located.
-      e.g. gs://[Your Bucket]/[Path to File]
-      The text file must include at least 20 words.
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # gcs_content_uri = 'gs://cloud-samples-data/language/classify-entertainment.txt'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"gcs_content_uri": gcs_content_uri, "type": type_, "language": language}
-
-    response = client.classify_text(document)
-    # Loop through classified categories returned from the API
-    for category in response.categories:
-        # Get the name of the category representing the document.
-        # See the predefined taxonomy of categories:
-        # https://cloud.google.com/natural-language/docs/categories
-        print(u"Category name: {}".format(category.name))
-        # Get the confidence. Number representing how certain the classifier
-        # is that this category represents the provided text.
-        print(u"Confidence: {}".format(category.confidence))
-
-
-# [END language_classify_gcs]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--gcs_content_uri",
-        type=str,
-        default="gs://cloud-samples-data/language/classify-entertainment.txt",
-    )
-    args = parser.parse_args()
-
-    sample_classify_text(args.gcs_content_uri)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/language_classify_text.py b/samples/v1/language_classify_text.py
deleted file mode 100644
index 52175f02..00000000
--- a/samples/v1/language_classify_text.py
+++ /dev/null
@@ -1,83 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_classify_text")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Classify Content
-#   description: Classifying Content in a String
-#   usage: python3 samples/v1/language_classify_text.py [--text_content "That actor on TV makes movies in Hollywood and also stars in a variety of popular new TV shows."]
-
-# [START language_classify_text]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_classify_text(text_content):
-    """
-    Classifying Content in a String
-
-    Args:
-      text_content The text content to analyze. Must include at least 20 words.
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # text_content = 'That actor on TV makes movies in Hollywood and also stars in a variety of popular new TV shows.'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"content": text_content, "type": type_, "language": language}
-
-    response = client.classify_text(document)
-    # Loop through classified categories returned from the API
-    for category in response.categories:
-        # Get the name of the category representing the document.
-        # See the predefined taxonomy of categories:
-        # https://cloud.google.com/natural-language/docs/categories
-        print(u"Category name: {}".format(category.name))
-        # Get the confidence. Number representing how certain the classifier
-        # is that this category represents the provided text.
-        print(u"Confidence: {}".format(category.confidence))
-
-
-# [END language_classify_text]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--text_content",
-        type=str,
-        default="That actor on TV makes movies in Hollywood and also stars in a variety of popular new TV shows.",
-    )
-    args = parser.parse_args()
-
-    sample_classify_text(args.text_content)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/language_entities_gcs.py b/samples/v1/language_entities_gcs.py
deleted file mode 100644
index 790592ca..00000000
--- a/samples/v1/language_entities_gcs.py
+++ /dev/null
@@ -1,105 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_entities_gcs")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Analyzing Entities (GCS)
-#   description: Analyzing Entities in text file stored in Cloud Storage
-#   usage: python3 samples/v1/language_entities_gcs.py [--gcs_content_uri "gs://cloud-samples-data/language/entity.txt"]
-
-# [START language_entities_gcs]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_analyze_entities(gcs_content_uri):
-    """
-    Analyzing Entities in text file stored in Cloud Storage
-
-    Args:
-      gcs_content_uri Google Cloud Storage URI where the file content is located.
-      e.g. gs://[Your Bucket]/[Path to File]
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # gcs_content_uri = 'gs://cloud-samples-data/language/entity.txt'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"gcs_content_uri": gcs_content_uri, "type": type_, "language": language}
-
-    # Available values: NONE, UTF8, UTF16, UTF32
-    encoding_type = enums.EncodingType.UTF8
-
-    response = client.analyze_entities(document, encoding_type=encoding_type)
-    # Loop through entitites returned from the API
-    for entity in response.entities:
-        print(u"Representative name for the entity: {}".format(entity.name))
-        # Get entity type, e.g. PERSON, LOCATION, ADDRESS, NUMBER, et al
-        print(u"Entity type: {}".format(enums.Entity.Type(entity.type).name))
-        # Get the salience score associated with the entity in the [0, 1.0] range
-        print(u"Salience score: {}".format(entity.salience))
-        # Loop over the metadata associated with entity. For many known entities,
-        # the metadata is a Wikipedia URL (wikipedia_url) and Knowledge Graph MID (mid).
-        # Some entity types may have additional metadata, e.g. ADDRESS entities
-        # may have metadata for the address street_name, postal_code, et al.
-        for metadata_name, metadata_value in entity.metadata.items():
-            print(u"{}: {}".format(metadata_name, metadata_value))
-
-        # Loop over the mentions of this entity in the input document.
-        # The API currently supports proper noun mentions.
-        for mention in entity.mentions:
-            print(u"Mention text: {}".format(mention.text.content))
-            # Get the mention type, e.g. PROPER for proper noun
-            print(
-                u"Mention type: {}".format(enums.EntityMention.Type(mention.type).name)
-            )
-
-    # Get the language of the text, which will be the same as
-    # the language specified in the request or, if not specified,
-    # the automatically-detected language.
-    print(u"Language of the text: {}".format(response.language))
-
-
-# [END language_entities_gcs]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--gcs_content_uri",
-        type=str,
-        default="gs://cloud-samples-data/language/entity.txt",
-    )
-    args = parser.parse_args()
-
-    sample_analyze_entities(args.gcs_content_uri)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/language_entities_text.py b/samples/v1/language_entities_text.py
deleted file mode 100644
index 464a313d..00000000
--- a/samples/v1/language_entities_text.py
+++ /dev/null
@@ -1,105 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_entities_text")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Analyzing Entities
-#   description: Analyzing Entities in a String
-#   usage: python3 samples/v1/language_entities_text.py [--text_content "California is a state."]
-
-# [START language_entities_text]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_analyze_entities(text_content):
-    """
-    Analyzing Entities in a String
-
-    Args:
-      text_content The text content to analyze
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # text_content = 'California is a state.'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"content": text_content, "type": type_, "language": language}
-
-    # Available values: NONE, UTF8, UTF16, UTF32
-    encoding_type = enums.EncodingType.UTF8
-
-    response = client.analyze_entities(document, encoding_type=encoding_type)
-
-    # Loop through entitites returned from the API
-    for entity in response.entities:
-        print(u"Representative name for the entity: {}".format(entity.name))
-
-        # Get entity type, e.g. PERSON, LOCATION, ADDRESS, NUMBER, et al
-        print(u"Entity type: {}".format(enums.Entity.Type(entity.type).name))
-
-        # Get the salience score associated with the entity in the [0, 1.0] range
-        print(u"Salience score: {}".format(entity.salience))
-
-        # Loop over the metadata associated with entity. For many known entities,
-        # the metadata is a Wikipedia URL (wikipedia_url) and Knowledge Graph MID (mid).
-        # Some entity types may have additional metadata, e.g. ADDRESS entities
-        # may have metadata for the address street_name, postal_code, et al.
-        for metadata_name, metadata_value in entity.metadata.items():
-            print(u"{}: {}".format(metadata_name, metadata_value))
-
-        # Loop over the mentions of this entity in the input document.
-        # The API currently supports proper noun mentions.
-        for mention in entity.mentions:
-            print(u"Mention text: {}".format(mention.text.content))
-
-            # Get the mention type, e.g. PROPER for proper noun
-            print(
-                u"Mention type: {}".format(enums.EntityMention.Type(mention.type).name)
-            )
-
-    # Get the language of the text, which will be the same as
-    # the language specified in the request or, if not specified,
-    # the automatically-detected language.
-    print(u"Language of the text: {}".format(response.language))
-
-
-# [END language_entities_text]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--text_content", type=str, default="California is a state.")
-    args = parser.parse_args()
-
-    sample_analyze_entities(args.text_content)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/language_entity_sentiment_gcs.py b/samples/v1/language_entity_sentiment_gcs.py
deleted file mode 100644
index 9fafa737..00000000
--- a/samples/v1/language_entity_sentiment_gcs.py
+++ /dev/null
@@ -1,109 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_entity_sentiment_gcs")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Analyzing Entity Sentiment (GCS)
-#   description: Analyzing Entity Sentiment in text file stored in Cloud Storage
-#   usage: python3 samples/v1/language_entity_sentiment_gcs.py [--gcs_content_uri "gs://cloud-samples-data/language/entity-sentiment.txt"]
-
-# [START language_entity_sentiment_gcs]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_analyze_entity_sentiment(gcs_content_uri):
-    """
-    Analyzing Entity Sentiment in text file stored in Cloud Storage
-
-    Args:
-      gcs_content_uri Google Cloud Storage URI where the file content is located.
-      e.g. gs://[Your Bucket]/[Path to File]
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # gcs_content_uri = 'gs://cloud-samples-data/language/entity-sentiment.txt'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"gcs_content_uri": gcs_content_uri, "type": type_, "language": language}
-
-    # Available values: NONE, UTF8, UTF16, UTF32
-    encoding_type = enums.EncodingType.UTF8
-
-    response = client.analyze_entity_sentiment(document, encoding_type=encoding_type)
-    # Loop through entitites returned from the API
-    for entity in response.entities:
-        print(u"Representative name for the entity: {}".format(entity.name))
-        # Get entity type, e.g. PERSON, LOCATION, ADDRESS, NUMBER, et al
-        print(u"Entity type: {}".format(enums.Entity.Type(entity.type).name))
-        # Get the salience score associated with the entity in the [0, 1.0] range
-        print(u"Salience score: {}".format(entity.salience))
-        # Get the aggregate sentiment expressed for this entity in the provided document.
-        sentiment = entity.sentiment
-        print(u"Entity sentiment score: {}".format(sentiment.score))
-        print(u"Entity sentiment magnitude: {}".format(sentiment.magnitude))
-        # Loop over the metadata associated with entity. For many known entities,
-        # the metadata is a Wikipedia URL (wikipedia_url) and Knowledge Graph MID (mid).
-        # Some entity types may have additional metadata, e.g. ADDRESS entities
-        # may have metadata for the address street_name, postal_code, et al.
-        for metadata_name, metadata_value in entity.metadata.items():
-            print(u"{} = {}".format(metadata_name, metadata_value))
-
-        # Loop over the mentions of this entity in the input document.
-        # The API currently supports proper noun mentions.
-        for mention in entity.mentions:
-            print(u"Mention text: {}".format(mention.text.content))
-            # Get the mention type, e.g. PROPER for proper noun
-            print(
-                u"Mention type: {}".format(enums.EntityMention.Type(mention.type).name)
-            )
-
-    # Get the language of the text, which will be the same as
-    # the language specified in the request or, if not specified,
-    # the automatically-detected language.
-    print(u"Language of the text: {}".format(response.language))
-
-
-# [END language_entity_sentiment_gcs]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--gcs_content_uri",
-        type=str,
-        default="gs://cloud-samples-data/language/entity-sentiment.txt",
-    )
-    args = parser.parse_args()
-
-    sample_analyze_entity_sentiment(args.gcs_content_uri)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/language_entity_sentiment_text.py b/samples/v1/language_entity_sentiment_text.py
deleted file mode 100644
index 9b3d5b8a..00000000
--- a/samples/v1/language_entity_sentiment_text.py
+++ /dev/null
@@ -1,106 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_entity_sentiment_text")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Analyzing Entity Sentiment
-#   description: Analyzing Entity Sentiment in a String
-#   usage: python3 samples/v1/language_entity_sentiment_text.py [--text_content "Grapes are good. Bananas are bad."]
-
-# [START language_entity_sentiment_text]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_analyze_entity_sentiment(text_content):
-    """
-    Analyzing Entity Sentiment in a String
-
-    Args:
-      text_content The text content to analyze
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # text_content = 'Grapes are good. Bananas are bad.'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"content": text_content, "type": type_, "language": language}
-
-    # Available values: NONE, UTF8, UTF16, UTF32
-    encoding_type = enums.EncodingType.UTF8
-
-    response = client.analyze_entity_sentiment(document, encoding_type=encoding_type)
-    # Loop through entitites returned from the API
-    for entity in response.entities:
-        print(u"Representative name for the entity: {}".format(entity.name))
-        # Get entity type, e.g. PERSON, LOCATION, ADDRESS, NUMBER, et al
-        print(u"Entity type: {}".format(enums.Entity.Type(entity.type).name))
-        # Get the salience score associated with the entity in the [0, 1.0] range
-        print(u"Salience score: {}".format(entity.salience))
-        # Get the aggregate sentiment expressed for this entity in the provided document.
-        sentiment = entity.sentiment
-        print(u"Entity sentiment score: {}".format(sentiment.score))
-        print(u"Entity sentiment magnitude: {}".format(sentiment.magnitude))
-        # Loop over the metadata associated with entity. For many known entities,
-        # the metadata is a Wikipedia URL (wikipedia_url) and Knowledge Graph MID (mid).
-        # Some entity types may have additional metadata, e.g. ADDRESS entities
-        # may have metadata for the address street_name, postal_code, et al.
-        for metadata_name, metadata_value in entity.metadata.items():
-            print(u"{} = {}".format(metadata_name, metadata_value))
-
-        # Loop over the mentions of this entity in the input document.
-        # The API currently supports proper noun mentions.
-        for mention in entity.mentions:
-            print(u"Mention text: {}".format(mention.text.content))
-            # Get the mention type, e.g. PROPER for proper noun
-            print(
-                u"Mention type: {}".format(enums.EntityMention.Type(mention.type).name)
-            )
-
-    # Get the language of the text, which will be the same as
-    # the language specified in the request or, if not specified,
-    # the automatically-detected language.
-    print(u"Language of the text: {}".format(response.language))
-
-
-# [END language_entity_sentiment_text]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--text_content", type=str, default="Grapes are good. Bananas are bad."
-    )
-    args = parser.parse_args()
-
-    sample_analyze_entity_sentiment(args.text_content)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/language_sentiment_gcs.py b/samples/v1/language_sentiment_gcs.py
deleted file mode 100644
index 261f2f3e..00000000
--- a/samples/v1/language_sentiment_gcs.py
+++ /dev/null
@@ -1,95 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_sentiment_gcs")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Analyzing Sentiment (GCS)
-#   description: Analyzing Sentiment in text file stored in Cloud Storage
-#   usage: python3 samples/v1/language_sentiment_gcs.py [--gcs_content_uri "gs://cloud-samples-data/language/sentiment-positive.txt"]
-
-# [START language_sentiment_gcs]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_analyze_sentiment(gcs_content_uri):
-    """
-    Analyzing Sentiment in text file stored in Cloud Storage
-
-    Args:
-      gcs_content_uri Google Cloud Storage URI where the file content is located.
-      e.g. gs://[Your Bucket]/[Path to File]
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # gcs_content_uri = 'gs://cloud-samples-data/language/sentiment-positive.txt'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"gcs_content_uri": gcs_content_uri, "type": type_, "language": language}
-
-    # Available values: NONE, UTF8, UTF16, UTF32
-    encoding_type = enums.EncodingType.UTF8
-
-    response = client.analyze_sentiment(document, encoding_type=encoding_type)
-    # Get overall sentiment of the input document
-    print(u"Document sentiment score: {}".format(response.document_sentiment.score))
-    print(
-        u"Document sentiment magnitude: {}".format(
-            response.document_sentiment.magnitude
-        )
-    )
-    # Get sentiment for all sentences in the document
-    for sentence in response.sentences:
-        print(u"Sentence text: {}".format(sentence.text.content))
-        print(u"Sentence sentiment score: {}".format(sentence.sentiment.score))
-        print(u"Sentence sentiment magnitude: {}".format(sentence.sentiment.magnitude))
-
-    # Get the language of the text, which will be the same as
-    # the language specified in the request or, if not specified,
-    # the automatically-detected language.
-    print(u"Language of the text: {}".format(response.language))
-
-
-# [END language_sentiment_gcs]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--gcs_content_uri",
-        type=str,
-        default="gs://cloud-samples-data/language/sentiment-positive.txt",
-    )
-    args = parser.parse_args()
-
-    sample_analyze_sentiment(args.gcs_content_uri)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/language_sentiment_text.py b/samples/v1/language_sentiment_text.py
deleted file mode 100644
index 12f1e221..00000000
--- a/samples/v1/language_sentiment_text.py
+++ /dev/null
@@ -1,90 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_sentiment_text")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Analyzing Sentiment
-#   description: Analyzing Sentiment in a String
-#   usage: python3 samples/v1/language_sentiment_text.py [--text_content "I am so happy and joyful."]
-
-# [START language_sentiment_text]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_analyze_sentiment(text_content):
-    """
-    Analyzing Sentiment in a String
-
-    Args:
-      text_content The text content to analyze
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # text_content = 'I am so happy and joyful.'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"content": text_content, "type": type_, "language": language}
-
-    # Available values: NONE, UTF8, UTF16, UTF32
-    encoding_type = enums.EncodingType.UTF8
-
-    response = client.analyze_sentiment(document, encoding_type=encoding_type)
-    # Get overall sentiment of the input document
-    print(u"Document sentiment score: {}".format(response.document_sentiment.score))
-    print(
-        u"Document sentiment magnitude: {}".format(
-            response.document_sentiment.magnitude
-        )
-    )
-    # Get sentiment for all sentences in the document
-    for sentence in response.sentences:
-        print(u"Sentence text: {}".format(sentence.text.content))
-        print(u"Sentence sentiment score: {}".format(sentence.sentiment.score))
-        print(u"Sentence sentiment magnitude: {}".format(sentence.sentiment.magnitude))
-
-    # Get the language of the text, which will be the same as
-    # the language specified in the request or, if not specified,
-    # the automatically-detected language.
-    print(u"Language of the text: {}".format(response.language))
-
-
-# [END language_sentiment_text]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--text_content", type=str, default="I am so happy and joyful.")
-    args = parser.parse_args()
-
-    sample_analyze_sentiment(args.text_content)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/language_syntax_gcs.py b/samples/v1/language_syntax_gcs.py
deleted file mode 100644
index 32bf2acb..00000000
--- a/samples/v1/language_syntax_gcs.py
+++ /dev/null
@@ -1,117 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_syntax_gcs")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Analyzing Syntax (GCS)
-#   description: Analyzing Syntax in text file stored in Cloud Storage
-#   usage: python3 samples/v1/language_syntax_gcs.py [--gcs_content_uri "gs://cloud-samples-data/language/syntax-sentence.txt"]
-
-# [START language_syntax_gcs]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_analyze_syntax(gcs_content_uri):
-    """
-    Analyzing Syntax in text file stored in Cloud Storage
-
-    Args:
-      gcs_content_uri Google Cloud Storage URI where the file content is located.
-      e.g. gs://[Your Bucket]/[Path to File]
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # gcs_content_uri = 'gs://cloud-samples-data/language/syntax-sentence.txt'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"gcs_content_uri": gcs_content_uri, "type": type_, "language": language}
-
-    # Available values: NONE, UTF8, UTF16, UTF32
-    encoding_type = enums.EncodingType.UTF8
-
-    response = client.analyze_syntax(document, encoding_type=encoding_type)
-    # Loop through tokens returned from the API
-    for token in response.tokens:
-        # Get the text content of this token. Usually a word or punctuation.
-        text = token.text
-        print(u"Token text: {}".format(text.content))
-        print(
-            u"Location of this token in overall document: {}".format(text.begin_offset)
-        )
-        # Get the part of speech information for this token.
-        # Parts of spech are as defined in:
-        # http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
-        part_of_speech = token.part_of_speech
-        # Get the tag, e.g. NOUN, ADJ for Adjective, et al.
-        print(
-            u"Part of Speech tag: {}".format(
-                enums.PartOfSpeech.Tag(part_of_speech.tag).name
-            )
-        )
-        # Get the voice, e.g. ACTIVE or PASSIVE
-        print(u"Voice: {}".format(enums.PartOfSpeech.Voice(part_of_speech.voice).name))
-        # Get the tense, e.g. PAST, FUTURE, PRESENT, et al.
-        print(u"Tense: {}".format(enums.PartOfSpeech.Tense(part_of_speech.tense).name))
-        # See API reference for additional Part of Speech information available
-        # Get the lemma of the token. Wikipedia lemma description
-        # https://en.wikipedia.org/wiki/Lemma_(morphology)
-        print(u"Lemma: {}".format(token.lemma))
-        # Get the dependency tree parse information for this token.
-        # For more information on dependency labels:
-        # http://www.aclweb.org/anthology/P13-2017
-        dependency_edge = token.dependency_edge
-        print(u"Head token index: {}".format(dependency_edge.head_token_index))
-        print(
-            u"Label: {}".format(enums.DependencyEdge.Label(dependency_edge.label).name)
-        )
-
-    # Get the language of the text, which will be the same as
-    # the language specified in the request or, if not specified,
-    # the automatically-detected language.
-    print(u"Language of the text: {}".format(response.language))
-
-
-# [END language_syntax_gcs]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--gcs_content_uri",
-        type=str,
-        default="gs://cloud-samples-data/language/syntax-sentence.txt",
-    )
-    args = parser.parse_args()
-
-    sample_analyze_syntax(args.gcs_content_uri)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/language_syntax_text.py b/samples/v1/language_syntax_text.py
deleted file mode 100644
index 29041886..00000000
--- a/samples/v1/language_syntax_text.py
+++ /dev/null
@@ -1,112 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# DO NOT EDIT! This is a generated sample ("Request",  "language_syntax_text")
-
-# To install the latest published package dependency, execute the following:
-#   pip install google-cloud-language
-
-# sample-metadata
-#   title: Analyzing Syntax
-#   description: Analyzing Syntax in a String
-#   usage: python3 samples/v1/language_syntax_text.py [--text_content "This is a short sentence."]
-
-# [START language_syntax_text]
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-
-
-def sample_analyze_syntax(text_content):
-    """
-    Analyzing Syntax in a String
-
-    Args:
-      text_content The text content to analyze
-    """
-
-    client = language_v1.LanguageServiceClient()
-
-    # text_content = 'This is a short sentence.'
-
-    # Available types: PLAIN_TEXT, HTML
-    type_ = enums.Document.Type.PLAIN_TEXT
-
-    # Optional. If not specified, the language is automatically detected.
-    # For list of supported languages:
-    # https://cloud.google.com/natural-language/docs/languages
-    language = "en"
-    document = {"content": text_content, "type": type_, "language": language}
-
-    # Available values: NONE, UTF8, UTF16, UTF32
-    encoding_type = enums.EncodingType.UTF8
-
-    response = client.analyze_syntax(document, encoding_type=encoding_type)
-    # Loop through tokens returned from the API
-    for token in response.tokens:
-        # Get the text content of this token. Usually a word or punctuation.
-        text = token.text
-        print(u"Token text: {}".format(text.content))
-        print(
-            u"Location of this token in overall document: {}".format(text.begin_offset)
-        )
-        # Get the part of speech information for this token.
-        # Parts of spech are as defined in:
-        # http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
-        part_of_speech = token.part_of_speech
-        # Get the tag, e.g. NOUN, ADJ for Adjective, et al.
-        print(
-            u"Part of Speech tag: {}".format(
-                enums.PartOfSpeech.Tag(part_of_speech.tag).name
-            )
-        )
-        # Get the voice, e.g. ACTIVE or PASSIVE
-        print(u"Voice: {}".format(enums.PartOfSpeech.Voice(part_of_speech.voice).name))
-        # Get the tense, e.g. PAST, FUTURE, PRESENT, et al.
-        print(u"Tense: {}".format(enums.PartOfSpeech.Tense(part_of_speech.tense).name))
-        # See API reference for additional Part of Speech information available
-        # Get the lemma of the token. Wikipedia lemma description
-        # https://en.wikipedia.org/wiki/Lemma_(morphology)
-        print(u"Lemma: {}".format(token.lemma))
-        # Get the dependency tree parse information for this token.
-        # For more information on dependency labels:
-        # http://www.aclweb.org/anthology/P13-2017
-        dependency_edge = token.dependency_edge
-        print(u"Head token index: {}".format(dependency_edge.head_token_index))
-        print(
-            u"Label: {}".format(enums.DependencyEdge.Label(dependency_edge.label).name)
-        )
-
-    # Get the language of the text, which will be the same as
-    # the language specified in the request or, if not specified,
-    # the automatically-detected language.
-    print(u"Language of the text: {}".format(response.language))
-
-
-# [END language_syntax_text]
-
-
-def main():
-    import argparse
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--text_content", type=str, default="This is a short sentence.")
-    args = parser.parse_args()
-
-    sample_analyze_syntax(args.text_content)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/samples/v1/test/analyzing_entities.test.yaml b/samples/v1/test/analyzing_entities.test.yaml
deleted file mode 100644
index 5fafd01e..00000000
--- a/samples/v1/test/analyzing_entities.test.yaml
+++ /dev/null
@@ -1,101 +0,0 @@
-type: test/samples
-schema_version: 1
-test:
-  suites:
-  - name: "Analyzing Entities [code sample tests]"
-    cases:
-
-    - name: language_entities_text - Analyzing the Entities of a text string (default value)
-      spec:
-      # Default value: "California is a state."
-      - call: {sample: language_entities_text}
-      - assert_contains:
-        - {literal: "Representative name for the entity: California"}
-        - {literal: "Entity type: LOCATION"}
-        - {literal: "Salience score:"}
-        - {literal: "wikipedia_url: https://en.wikipedia.org/wiki/California"}
-        - {literal: "mid: /m/01n7q"}
-        - {literal: "Mention text: California"}
-        - {literal: "Mention type: PROPER"}
-        - {literal: "Mention text: state"}
-        - {literal: "Mention type: COMMON"}
-        - {literal: "Language of the text: en"}
-
-    - name: language_entities_text - Analyzing the Entities of a text string (*custom value*)
-      spec:
-      # Custom value: "Alice is a person. She lives in California."
-      - call:
-          sample: language_entities_text
-          params:
-            text_content: {literal: "Alice is a person. She lives in California."}
-      - assert_contains:
-        - {literal: "Representative name for the entity: Alice"}
-        - {literal: "Entity type: PERSON"}
-        - {literal: "Mention text: Alice"}
-        - {literal: "Mention type: PROPER"}
-        - {literal: "Mention text: person"}
-        - {literal: "Mention type: COMMON"}
-        - {literal: "Representative name for the entity: California"}
-        - {literal: "Entity type: LOCATION"}
-        - {literal: "wikipedia_url: https://en.wikipedia.org/wiki/California"}
-        - {literal: "mid: /m/01n7q"}
-        - {literal: "Language of the text: en"}
-
-    - name: language_entities_text - Analyzing the Entities of a text string (*metadata attributes*)
-      spec:
-      # Try out some of the metadata attributes which should be available for dates, addresses, etc.
-      # In case fake (555) area code numbers don't work, using United States Naval Observatory number.
-      # Custom value: "I called 202-762-1401 on January 31, 2019 from 1600 Amphitheatre Parkway, Mountain View, CA."
-      - call:
-          sample: language_entities_text
-          params:
-            text_content:
-              literal: "I called 202-762-1401 on January 31, 2019 from 1600 Amphitheatre Parkway, Mountain View, CA."
-      # The results may change, but it's fair to say that at least one of the following types were detected:
-      - assert_contains_any:
-        - literal: "Entity type: DATE"
-        - literal: "Entity type: ADDRESS"
-        - literal: "Entity type: PHONE_NUMBER"
-      # Check that at least some of the supporting metadata for an entity was present in the response
-      - assert_contains_any:
-        - literal: "month: 1"
-        - literal: "day: 31"
-        - literal: "year: 2019"
-        - literal: "street_number: 1600"
-        - literal: "street_name: Amphitheatre Parkway"
-        - literal: "area_code: 202"
-        - literal: "number: 7621401"
-
-    - name: language_entities_gcs - Analyzing the Entities of text file in GCS (default value)
-      spec:
-      # Default value: gs://cloud-samples-data/language/entity.txt
-      # => "California is a state."
-      - call: {sample: language_entities_gcs}
-      - assert_contains:
-        - {literal: "Representative name for the entity: California"}
-        - {literal: "Entity type: LOCATION"}
-        - {literal: "Salience score:"}
-        - {literal: "wikipedia_url: https://en.wikipedia.org/wiki/California"}
-        - {literal: "mid: /m/01n7q"}
-        - {literal: "Mention text: California"}
-        - {literal: "Mention type: PROPER"}
-        - {literal: "Mention text: state"}
-        - {literal: "Mention type: COMMON"}
-        - {literal: "Language of the text: en"}
-
-    - name: language_entities_gcs - Analyzing the Entities of text file in GCS (*custom value*)
-      spec:
-      # Use different file: gs://cloud-samples-data/language/entity-sentiment.txt
-      # => "Grapes are good. Bananas are bad."
-      - call:
-          sample: language_entities_gcs
-          params:
-            gcs_content_uri:
-              literal: "gs://cloud-samples-data/language/entity-sentiment.txt"
-      - assert_contains:
-        - {literal: "Representative name for the entity: Grapes"}
-        - {literal: "Mention text: Grapes"}
-        - {literal: "Mention type: COMMON"}
-        - {literal: "Representative name for the entity: Bananas"}
-        - {literal: "Mention text: Bananas"}
-        - {literal: "Language of the text: en"}
diff --git a/samples/v1/test/analyzing_entity_sentiment.test.yaml b/samples/v1/test/analyzing_entity_sentiment.test.yaml
deleted file mode 100644
index beb8fb4a..00000000
--- a/samples/v1/test/analyzing_entity_sentiment.test.yaml
+++ /dev/null
@@ -1,63 +0,0 @@
-type: test/samples
-schema_version: 1
-test:
-  suites:
-  - name: "Analyzing Entity Sentiment [code sample tests]"
-    cases:
-
-    - name: language_entity_sentiment_text - Analyzing Entity Sentiment of a text string (default value)
-      spec:
-      # Default value: "Grapes are good. Bananas are bad."
-      - call: {sample: language_entity_sentiment_text}
-      - assert_contains:
-        - {literal: "Representative name for the entity: Grapes"}
-        - {literal: "Entity sentiment score: 0."}
-        - {literal: "Representative name for the entity: Bananas"}
-        - {literal: "Entity sentiment score: -0."}
-        - {literal: "Entity sentiment magnitude: 0."}
-        - {literal: "Language of the text: en"}
-
-    - name: language_entity_sentiment_text - Analyzing Entity Sentiment of a text string (*custom value*)
-      spec:
-      # Custom value: "Grapes are actually not very good. But Bananas are great."
-      - call:
-          sample: language_entity_sentiment_text
-          params:
-            text_content: {literal: "Grapes are actually not very good. But Bananas are great."}
-      - assert_contains:
-        - {literal: "Representative name for the entity: Grapes"}
-        - {literal: "Entity sentiment score: -0."}
-        - {literal: "Representative name for the entity: Bananas"}
-        - {literal: "Entity sentiment score: 0."}
-        - {literal: "Entity sentiment magnitude: 0."}
-        - {literal: "Language of the text: en"}
-
-    - name: language_entity_sentiment_gcs - Analyzing Entity Sentiment of text file in GCS (default value)
-      spec:
-      # Default value: gs://cloud-samples-data/language/entity-sentiment.txt
-      # => "Grapes are good. Bananas are bad."
-      - call: {sample: language_entity_sentiment_gcs}
-      - assert_contains:
-        - {literal: "Representative name for the entity: Grapes"}
-        - {literal: "Entity sentiment score: -0."}
-        - {literal: "Representative name for the entity: Bananas"}
-        - {literal: "Entity sentiment score: 0."}
-        - {literal: "Entity sentiment magnitude: 0."}
-        - {literal: "Language of the text: en"}
-
-    - name: language_entity_sentiment_gcs - Analyzing Entity Sentiment of text file in GCS (*custom value*)
-      spec:
-      # Use different file: gs://cloud-samples-data/language/entity-sentiment-reverse.txt
-      # => "Grapes are actually not very good. But Bananas are great."
-      - call:
-          sample: language_entity_sentiment_gcs
-          params:
-            gcs_content_uri:
-              literal: "gs://cloud-samples-data/language/entity-sentiment-reverse.txt"
-      - assert_contains:
-        - {literal: "Representative name for the entity: Grapes"}
-        - {literal: "Entity sentiment score: -0."}
-        - {literal: "Representative name for the entity: Bananas"}
-        - {literal: "Entity sentiment score: 0."}
-        - {literal: "Entity sentiment magnitude: 0."}
-        - {literal: "Language of the text: en"}
diff --git a/samples/v1/test/analyzing_sentiment.test.yaml b/samples/v1/test/analyzing_sentiment.test.yaml
deleted file mode 100644
index 55b5fdcb..00000000
--- a/samples/v1/test/analyzing_sentiment.test.yaml
+++ /dev/null
@@ -1,74 +0,0 @@
-type: test/samples
-schema_version: 1
-test:
-  suites:
-  - name: "Analyzing Sentiment [code sample tests]"
-    cases:
-
-    - name: language_sentiment_text - Analyzing the sentiment of a text string (default value)
-      spec:
-      # Default value: "I am so happy and joyful."
-      - call: {sample: language_sentiment_text}
-      - assert_contains:
-        - {literal: "Document sentiment score: 0."}
-        - {literal: "Document sentiment magnitude: 0."}
-        - {literal: "Sentence text: I am so happy and joyful."}
-        - {literal: "Sentence sentiment score: 0."}
-        - {literal: "Sentence sentiment magnitude: 0."}
-        - {literal: "Language of the text: en"}
-      # There should be no negative sentiment scores for this value.
-      - assert_not_contains:
-        - {literal: "Document sentiment score: -0."}
-        - {literal: "Sentence sentiment score: -0."}
-
-    - name: language_sentiment_text - Analyzing the sentiment of a text string (*custom value*)
-      spec:
-      # Custom value: "I am very happy. I am angry and sad."
-      - call:
-          sample: language_sentiment_text
-          params:
-            text_content: {literal: "I am very happy. I am angry and sad."}
-      - assert_contains:
-        - {literal: "Sentence text: I am very happy"}
-        - {literal: "Sentence sentiment score: 0."}
-        - {literal: "Sentence text: I am angry and sad"}
-        - {literal: "Sentence sentiment score: -0."}
-        - {literal: "Language of the text: en"}
-
-    - name: language_sentiment_gcs - Analyzing the sentiment of text file in GCS (default value)
-      spec:
-      # Default value: gs://cloud-samples-data/language/sentiment-positive.txt
-      # => "I am so happy and joyful."
-      - call: {sample: language_sentiment_gcs}
-      - assert_contains:
-        - {literal: "Document sentiment score: 0."}
-        - {literal: "Document sentiment magnitude: 0."}
-        - {literal: "Sentence text: I am so happy and joyful."}
-        - {literal: "Sentence sentiment score: 0."}
-        - {literal: "Sentence sentiment magnitude: 0."}
-        - {literal: "Language of the text: en"}
-      # There should be no negative sentiment scores for this value.
-      - assert_not_contains:
-        - {literal: "Document sentiment score: -0."}
-        - {literal: "Sentence sentiment score: -0."}
-
-    - name: language_sentiment_gcs - Analyzing the sentiment of text file in GCS (*custom value*)
-      spec:
-      # Use different file: gs://cloud-samples-data/language/sentiment-negative.txt
-      # => "I am so sad and upset."
-      - call:
-          sample: language_sentiment_gcs
-          params:
-            gcs_content_uri:
-              literal: "gs://cloud-samples-data/language/sentiment-negative.txt"
-      - assert_contains:
-        - {literal: "Document sentiment score: -0."}
-        - {literal: "Document sentiment magnitude: 0."}
-        - {literal: "Sentence text: I am so sad and upset."}
-        - {literal: "Sentence sentiment score: -0."}
-        - {literal: "Sentence sentiment magnitude: 0."}
-        - {literal: "Language of the text: en"}
-      # There should be no positive sentiment scores for this value.
-      - assert_not_contains:
-        - {literal: "Document sentiment score: 0."}
-        - {literal: "Sentence sentiment score: 0."}
diff --git a/samples/v1/test/analyzing_syntax.test.yaml b/samples/v1/test/analyzing_syntax.test.yaml
deleted file mode 100644
index e89d465c..00000000
--- a/samples/v1/test/analyzing_syntax.test.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-type: test/samples
-schema_version: 1
-test:
-  suites:
-  - name: "Analyzing Syntax [code sample tests]"
-    cases:
-
-    - name: language_syntax_text - Analyzing the syntax of a text string (default value)
-      spec:
-      # Default value: "This is a short sentence."
-      - call: {sample: language_syntax_text}
-      - assert_contains:
-        - {literal: "Token text: is"}
-        - {literal: "Part of Speech tag: VERB"}
-        - {literal: "Tense: PRESENT"}
-        - {literal: "Lemma: be"}
-        - {literal: "Token text: short"}
-        - {literal: "Part of Speech tag: ADJ"}
-        - {literal: "Lemma: short"}
-        - {literal: "Language of the text: en"}
-
-    - name: language_syntax_text - Analyzing the syntax of a text string (*custom value*)
-      spec:
-      # Custom value: "Alice runs. Bob ran."
-      - call:
-          sample: language_syntax_text
-          params:
-            text_content: {literal: "Alice runs. Bob ran."}
-      - assert_contains:
-        - {literal: "Token text: Alice"}
-        - {literal: "Location of this token in overall document: 0"}
-        - {literal: "Part of Speech tag: NOUN"}
-        - {literal: "Label: NSUBJ"}
-        - {literal: "Token text: runs"}
-        - {literal: "Part of Speech tag: VERB"}
-        - {literal: "Tense: PRESENT"}
-        - {literal: "Lemma: run"}
-        - {literal: "Token text: ran"}
-        - {literal: "Tense: PAST"}
-        - {literal: "Language of the text: en"}
-
-    - name: language_syntax_gcs - Analyzing the syntax of text file in GCS (default value)
-      spec:
-      # Default value: gs://cloud-samples-data/language/syntax-sentence.txt
-      # => "This is a short sentence."
-      - call: {sample: language_syntax_gcs}
-      - assert_contains:
-        - {literal: "Token text: is"}
-        - {literal: "Part of Speech tag: VERB"}
-        - {literal: "Tense: PRESENT"}
-        - {literal: "Lemma: be"}
-        - {literal: "Token text: short"}
-        - {literal: "Part of Speech tag: ADJ"}
-        - {literal: "Lemma: short"}
-        - {literal: "Language of the text: en"}
-
-    - name: language_syntax_gcs - Analyzing the syntax of text file in GCS (*custom value*)
-      spec:
-      # Use different file: gs://cloud-samples-data/language/hello.txt
-      # => "Hello, world!"
-      - call:
-          sample: language_syntax_gcs
-          params:
-            gcs_content_uri:
-              literal: "gs://cloud-samples-data/language/hello.txt"
-      - assert_contains:
-        - {literal: "Token text: Hello"}
-        - {literal: "Token text: World"}
-        - {literal: "Part of Speech tag: NOUN"}
-        - {literal: "Token text: !"}
-        - {literal: "Part of Speech tag: PUNCT"}
-        - {literal: "Language of the text: en"}
diff --git a/samples/v1/test/classifying_content.test.yaml b/samples/v1/test/classifying_content.test.yaml
deleted file mode 100644
index 5cfc7669..00000000
--- a/samples/v1/test/classifying_content.test.yaml
+++ /dev/null
@@ -1,51 +0,0 @@
-type: test/samples
-schema_version: 1
-test:
-  suites:
-  - name: "Classifying Content [code sample tests]"
-    cases:
-
-    - name: language_classify_text - Classifying Content of a text string (default value)
-      spec:
-      # Default value: "That actor on TV makes movies in Hollywood and also stars in a variety of popular new TV shows."
-      - call: {sample: language_classify_text}
-      - assert_contains_any:
-        - {literal: "TV"}
-        - {literal: "Movies"}
-        - {literal: "Entertainment"}
-
-    - name: language_classify_text - Classifying Content of a text string (*custom value*)
-      spec:
-      # Custom value: "Let's drink coffee and eat bagels at a coffee shop. I want muffins, croisants, coffee and baked goods."
-      - call:
-          sample: language_classify_text
-          params:
-            text_content: {literal: "Let's drink coffee and eat bagels at a coffee shop. I want muffins, croisants, coffee and baked goods."}
-      - assert_contains_any:
-        - {literal: "Food"}
-        - {literal: "Drink"}
-        - {literal: "Coffee"}
-
-    - name: language_classify_gcs - Classifying Content of text file in GCS (default value)
-      spec:
-      # Default value: gs://cloud-samples-data/language/classify-entertainment.txt
-      # => "This is about film and movies and television and acting and movie theatres and theatre and drama and entertainment and the arts."
-      - call: {sample: language_classify_gcs}
-      - assert_contains_any:
-        - {literal: "TV"}
-        - {literal: "Movies"}
-        - {literal: "Entertainment"}
-
-    - name: language_classify_gcs - Classifying Content of text file in GCS (*custom value*)
-      spec:
-      # Use different file: gs://cloud-samples-data/language/android.txt
-      # => "Android is a mobile operating system developed by Google, based on the Linux kernel and..."
-      - call:
-          sample: language_classify_gcs
-          params:
-            gcs_content_uri:
-              literal: "gs://cloud-samples-data/language/android.txt"
-      - assert_contains_any:
-        - {literal: "Mobile"}
-        - {literal: "Phone"}
-        - {literal: "Internet"}
diff --git a/samples/v1/test/samples.manifest.yaml b/samples/v1/test/samples.manifest.yaml
deleted file mode 100644
index aa270425..00000000
--- a/samples/v1/test/samples.manifest.yaml
+++ /dev/null
@@ -1,38 +0,0 @@
-type: manifest/samples
-schema_version: 3
-base: &common
-  env: 'python'
-  bin: 'python3'
-  chdir: '{@manifest_dir}/../..'
-  basepath: '.'
-samples:
-- <<: *common
-  path: '{basepath}/v1/language_classify_gcs.py'
-  sample: 'language_classify_gcs'
-- <<: *common
-  path: '{basepath}/v1/language_classify_text.py'
-  sample: 'language_classify_text'
-- <<: *common
-  path: '{basepath}/v1/language_entities_gcs.py'
-  sample: 'language_entities_gcs'
-- <<: *common
-  path: '{basepath}/v1/language_entities_text.py'
-  sample: 'language_entities_text'
-- <<: *common
-  path: '{basepath}/v1/language_entity_sentiment_gcs.py'
-  sample: 'language_entity_sentiment_gcs'
-- <<: *common
-  path: '{basepath}/v1/language_entity_sentiment_text.py'
-  sample: 'language_entity_sentiment_text'
-- <<: *common
-  path: '{basepath}/v1/language_sentiment_gcs.py'
-  sample: 'language_sentiment_gcs'
-- <<: *common
-  path: '{basepath}/v1/language_sentiment_text.py'
-  sample: 'language_sentiment_text'
-- <<: *common
-  path: '{basepath}/v1/language_syntax_gcs.py'
-  sample: 'language_syntax_gcs'
-- <<: *common
-  path: '{basepath}/v1/language_syntax_text.py'
-  sample: 'language_syntax_text'
diff --git a/scripts/decrypt-secrets.sh b/scripts/decrypt-secrets.sh
deleted file mode 100755
index ff599eb2..00000000
--- a/scripts/decrypt-secrets.sh
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/bin/bash
-
-# Copyright 2015 Google Inc. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
-ROOT=$( dirname "$DIR" )
-
-# Work from the project root.
-cd $ROOT
-
-# Use SECRET_MANAGER_PROJECT if set, fallback to cloud-devrel-kokoro-resources.
-PROJECT_ID="${SECRET_MANAGER_PROJECT:-cloud-devrel-kokoro-resources}"
-
-gcloud secrets versions access latest --secret="python-docs-samples-test-env" \
-       > testing/test-env.sh
-gcloud secrets versions access latest \
-       --secret="python-docs-samples-service-account" \
-       > testing/service-account.json
-gcloud secrets versions access latest \
-       --secret="python-docs-samples-client-secrets" \
-       > testing/client-secrets.json
\ No newline at end of file
diff --git a/scripts/readme-gen/readme_gen.py b/scripts/readme-gen/readme_gen.py
deleted file mode 100644
index d309d6e9..00000000
--- a/scripts/readme-gen/readme_gen.py
+++ /dev/null
@@ -1,66 +0,0 @@
-#!/usr/bin/env python
-
-# Copyright 2016 Google Inc
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Generates READMEs using configuration defined in yaml."""
-
-import argparse
-import io
-import os
-import subprocess
-
-import jinja2
-import yaml
-
-
-jinja_env = jinja2.Environment(
-    trim_blocks=True,
-    loader=jinja2.FileSystemLoader(
-        os.path.abspath(os.path.join(os.path.dirname(__file__), 'templates'))))
-
-README_TMPL = jinja_env.get_template('README.tmpl.rst')
-
-
-def get_help(file):
-    return subprocess.check_output(['python', file, '--help']).decode()
-
-
-def main():
-    parser = argparse.ArgumentParser()
-    parser.add_argument('source')
-    parser.add_argument('--destination', default='README.rst')
-
-    args = parser.parse_args()
-
-    source = os.path.abspath(args.source)
-    root = os.path.dirname(source)
-    destination = os.path.join(root, args.destination)
-
-    jinja_env.globals['get_help'] = get_help
-
-    with io.open(source, 'r') as f:
-        config = yaml.load(f)
-
-    # This allows get_help to execute in the right directory.
-    os.chdir(root)
-
-    output = README_TMPL.render(config)
-
-    with io.open(destination, 'w') as f:
-        f.write(output)
-
-
-if __name__ == '__main__':
-    main()
diff --git a/scripts/readme-gen/templates/README.tmpl.rst b/scripts/readme-gen/templates/README.tmpl.rst
deleted file mode 100644
index 4fd23976..00000000
--- a/scripts/readme-gen/templates/README.tmpl.rst
+++ /dev/null
@@ -1,87 +0,0 @@
-{# The following line is a lie. BUT! Once jinja2 is done with it, it will
-    become truth! #}
-.. This file is automatically generated. Do not edit this file directly.
-
-{{product.name}} Python Samples
-===============================================================================
-
-.. image:: https://gstatic.com/cloudssh/images/open-btn.png
-   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor={{folder}}/README.rst
-
-
-This directory contains samples for {{product.name}}. {{product.description}}
-
-{{description}}
-
-.. _{{product.name}}: {{product.url}}
-
-{% if required_api_url %}
-To run the sample, you need to enable the API at: {{required_api_url}}
-{% endif %}
-
-{% if required_role %}
-To run the sample, you need to have `{{required_role}}` role.
-{% endif %}
-
-{{other_required_steps}}
-
-{% if setup %}
-Setup
--------------------------------------------------------------------------------
-
-{% for section in setup %}
-
-{% include section + '.tmpl.rst' %}
-
-{% endfor %}
-{% endif %}
-
-{% if samples %}
-Samples
--------------------------------------------------------------------------------
-
-{% for sample in samples %}
-{{sample.name}}
-+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-
-{% if not sample.hide_cloudshell_button %}
-.. image:: https://gstatic.com/cloudssh/images/open-btn.png
-   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor={{folder}}/{{sample.file}},{{folder}}/README.rst
-{% endif %}
-
-
-{{sample.description}}
-
-To run this sample:
-
-.. code-block:: bash
-
-    $ python {{sample.file}}
-{% if sample.show_help %}
-
-    {{get_help(sample.file)|indent}}
-{% endif %}
-
-
-{% endfor %}
-{% endif %}
-
-{% if cloud_client_library %}
-
-The client library
--------------------------------------------------------------------------------
-
-This sample uses the `Google Cloud Client Library for Python`_.
-You can read the documentation for more details on API usage and use GitHub
-to `browse the source`_ and  `report issues`_.
-
-.. _Google Cloud Client Library for Python:
-    https://googlecloudplatform.github.io/google-cloud-python/
-.. _browse the source:
-    https://github.com/GoogleCloudPlatform/google-cloud-python
-.. _report issues:
-    https://github.com/GoogleCloudPlatform/google-cloud-python/issues
-
-{% endif %}
-
-.. _Google Cloud SDK: https://cloud.google.com/sdk/
\ No newline at end of file
diff --git a/scripts/readme-gen/templates/auth.tmpl.rst b/scripts/readme-gen/templates/auth.tmpl.rst
deleted file mode 100644
index 1446b94a..00000000
--- a/scripts/readme-gen/templates/auth.tmpl.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-Authentication
-++++++++++++++
-
-This sample requires you to have authentication setup. Refer to the
-`Authentication Getting Started Guide`_ for instructions on setting up
-credentials for applications.
-
-.. _Authentication Getting Started Guide:
-    https://cloud.google.com/docs/authentication/getting-started
diff --git a/scripts/readme-gen/templates/auth_api_key.tmpl.rst b/scripts/readme-gen/templates/auth_api_key.tmpl.rst
deleted file mode 100644
index 11957ce2..00000000
--- a/scripts/readme-gen/templates/auth_api_key.tmpl.rst
+++ /dev/null
@@ -1,14 +0,0 @@
-Authentication
-++++++++++++++
-
-Authentication for this service is done via an `API Key`_. To obtain an API
-Key:
-
-1. Open the `Cloud Platform Console`_
-2. Make sure that billing is enabled for your project.
-3. From the **Credentials** page, create a new **API Key** or use an existing
-   one for your project.
-
-.. _API Key:
-    https://developers.google.com/api-client-library/python/guide/aaa_apikeys
-.. _Cloud Console: https://console.cloud.google.com/project?_
diff --git a/scripts/readme-gen/templates/install_deps.tmpl.rst b/scripts/readme-gen/templates/install_deps.tmpl.rst
deleted file mode 100644
index a0406dba..00000000
--- a/scripts/readme-gen/templates/install_deps.tmpl.rst
+++ /dev/null
@@ -1,29 +0,0 @@
-Install Dependencies
-++++++++++++++++++++
-
-#. Clone python-docs-samples and change directory to the sample directory you want to use.
-
-    .. code-block:: bash
-
-        $ git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git
-
-#. Install `pip`_ and `virtualenv`_ if you do not already have them. You may want to refer to the `Python Development Environment Setup Guide`_ for Google Cloud Platform for instructions.
-
-   .. _Python Development Environment Setup Guide:
-       https://cloud.google.com/python/setup
-
-#. Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.
-
-    .. code-block:: bash
-
-        $ virtualenv env
-        $ source env/bin/activate
-
-#. Install the dependencies needed to run the samples.
-
-    .. code-block:: bash
-
-        $ pip install -r requirements.txt
-
-.. _pip: https://pip.pypa.io/
-.. _virtualenv: https://virtualenv.pypa.io/
diff --git a/scripts/readme-gen/templates/install_portaudio.tmpl.rst b/scripts/readme-gen/templates/install_portaudio.tmpl.rst
deleted file mode 100644
index 5ea33d18..00000000
--- a/scripts/readme-gen/templates/install_portaudio.tmpl.rst
+++ /dev/null
@@ -1,35 +0,0 @@
-Install PortAudio
-+++++++++++++++++
-
-Install `PortAudio`_. This is required by the `PyAudio`_ library to stream
-audio from your computer's microphone. PyAudio depends on PortAudio for cross-platform compatibility, and is installed differently depending on the
-platform.
-
-* For Mac OS X, you can use `Homebrew`_::
-
-      brew install portaudio
-
-  **Note**: if you encounter an error when running `pip install` that indicates
-  it can't find `portaudio.h`, try running `pip install` with the following
-  flags::
-
-      pip install --global-option='build_ext' \
-          --global-option='-I/usr/local/include' \
-          --global-option='-L/usr/local/lib' \
-          pyaudio
-
-* For Debian / Ubuntu Linux::
-
-      apt-get install portaudio19-dev python-all-dev
-
-* Windows may work without having to install PortAudio explicitly (it will get
-  installed with PyAudio).
-
-For more details, see the `PyAudio installation`_ page.
-
-
-.. _PyAudio: https://people.csail.mit.edu/hubert/pyaudio/
-.. _PortAudio: http://www.portaudio.com/
-.. _PyAudio installation:
-  https://people.csail.mit.edu/hubert/pyaudio/#downloads
-.. _Homebrew: http://brew.sh
diff --git a/setup.cfg b/setup.cfg
deleted file mode 100644
index c3a2b39f..00000000
--- a/setup.cfg
+++ /dev/null
@@ -1,19 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Generated by synthtool. DO NOT EDIT!
-[bdist_wheel]
-universal = 1
diff --git a/setup.py b/setup.py
deleted file mode 100644
index 2c11a7b5..00000000
--- a/setup.py
+++ /dev/null
@@ -1,89 +0,0 @@
-# Copyright 2018 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import io
-import os
-
-import setuptools
-
-
-# Package metadata.
-
-name = "google-cloud-language"
-description = "Google Cloud Natural Language API client library"
-version = "1.3.0"
-# Should be one of:
-# 'Development Status :: 3 - Alpha'
-# 'Development Status :: 4 - Beta'
-# 'Development Status :: 5 - Production/Stable'
-release_status = "Development Status :: 5 - Production/Stable"
-dependencies = [
-    "google-api-core[grpc] >= 1.14.0, < 2.0.0dev",
-    'enum34;python_version<"3.4"',
-]
-extras = {}
-
-
-# Setup boilerplate below this line.
-
-package_root = os.path.abspath(os.path.dirname(__file__))
-
-readme_filename = os.path.join(package_root, "README.rst")
-with io.open(readme_filename, encoding="utf-8") as readme_file:
-    readme = readme_file.read()
-
-# Only include packages under the 'google' namespace. Do not include tests,
-# benchmarks, etc.
-packages = [
-    package for package in setuptools.find_packages() if package.startswith("google")
-]
-
-# Determine which namespaces are needed.
-namespaces = ["google"]
-if "google.cloud" in packages:
-    namespaces.append("google.cloud")
-
-
-setuptools.setup(
-    name=name,
-    version=version,
-    description=description,
-    long_description=readme,
-    author="Google LLC",
-    author_email="googleapis-packages@google.com",
-    license="Apache 2.0",
-    url="https://github.com/googleapis/python-language",
-    classifiers=[
-        release_status,
-        "Intended Audience :: Developers",
-        "License :: OSI Approved :: Apache Software License",
-        "Programming Language :: Python",
-        "Programming Language :: Python :: 2",
-        "Programming Language :: Python :: 2.7",
-        "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.5",
-        "Programming Language :: Python :: 3.6",
-        "Programming Language :: Python :: 3.7",
-        "Operating System :: OS Independent",
-        "Topic :: Internet",
-    ],
-    platforms="Posix; MacOS X; Windows",
-    packages=packages,
-    namespace_packages=namespaces,
-    install_requires=dependencies,
-    extras_require=extras,
-    python_requires=">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*",
-    include_package_data=True,
-    zip_safe=False,
-)
diff --git a/synth.metadata b/synth.metadata
deleted file mode 100644
index f631bc79..00000000
--- a/synth.metadata
+++ /dev/null
@@ -1,46 +0,0 @@
-{
-  "sources": [
-    {
-      "git": {
-        "name": ".",
-        "remote": "https://github.com/googleapis/python-language.git",
-        "sha": "3db1fa4508b7891733d362e81d3e20fe8e71b996"
-      }
-    },
-    {
-      "git": {
-        "name": "googleapis",
-        "remote": "https://github.com/googleapis/googleapis.git",
-        "sha": "fa4d2ecd0804eb92f27a65fe65ce2a554a361b93",
-        "internalRef": "317110673"
-      }
-    },
-    {
-      "git": {
-        "name": "synthtool",
-        "remote": "https://github.com/googleapis/synthtool.git",
-        "sha": "cd522c3b4dde821766d95c80ae5aeb43d7a41170"
-      }
-    }
-  ],
-  "destinations": [
-    {
-      "client": {
-        "source": "googleapis",
-        "apiName": "language",
-        "apiVersion": "v1beta2",
-        "language": "python",
-        "generator": "bazel"
-      }
-    },
-    {
-      "client": {
-        "source": "googleapis",
-        "apiName": "language",
-        "apiVersion": "v1",
-        "language": "python",
-        "generator": "bazel"
-      }
-    }
-  ]
-}
\ No newline at end of file
diff --git a/synth.py b/synth.py
deleted file mode 100644
index e77efc01..00000000
--- a/synth.py
+++ /dev/null
@@ -1,64 +0,0 @@
-# Copyright 2018 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""This script is used to synthesize generated parts of this library."""
-
-import synthtool as s
-from synthtool import gcp
-
-gapic = gcp.GAPICBazel()
-common = gcp.CommonTemplates()
-versions = ["v1beta2", "v1"]
-
-
-# ----------------------------------------------------------------------------
-# Generate language GAPIC layer
-# ----------------------------------------------------------------------------
-for version in versions:
-    library = gapic.py_library(
-        service="language",
-        version=version,
-        bazel_target=f"//google/cloud/language/{version}:language-{version}-py",
-        include_protos=True,
-    )
-
-    s.move(library / f"google/cloud/language_{version}/proto")
-    s.move(library / f"google/cloud/language_{version}/gapic")
-    s.move(library / f"tests/unit/gapic/{version}")
-    s.move(library / f"tests/system/gapic/{version}")
-    s.move(library / f"samples")
-
-# ----------------------------------------------------------------------------
-# Add templated files
-# ----------------------------------------------------------------------------
-templated_files = common.py_library(unit_cov_level=97, cov_level=100)
-s.move(templated_files, excludes=['noxfile.py'])
-
-s.replace("google/cloud/**/language_service_pb2.py",
-'''__doc__ = """################################################################
-  #
-  
-  Represents the input to API methods.''',
-'''__doc__="""Represents the input to API methods.'''
-)
-s.replace(
-    f"google/cloud/**/gapic/language_service_client.py",
-    r"types\.EncodingType",
-    "enums.EncodingType",
-)
-
-# TODO(busunkim): Use latest sphinx after microgenerator transition
-s.replace("noxfile.py", """['"]sphinx['"]""", '"sphinx<3.0.0"')
-
-s.shell.run(["nox", "-s", "blacken"], hide_output=False)
diff --git a/testing/.gitignore b/testing/.gitignore
deleted file mode 100644
index b05fbd63..00000000
--- a/testing/.gitignore
+++ /dev/null
@@ -1,3 +0,0 @@
-test-env.sh
-service-account.json
-client-secrets.json
\ No newline at end of file
diff --git a/tests/__init__.py b/tests/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/tests/system/gapic/v1/test_system_language_service_v1.py b/tests/system/gapic/v1/test_system_language_service_v1.py
deleted file mode 100644
index e54b9339..00000000
--- a/tests/system/gapic/v1/test_system_language_service_v1.py
+++ /dev/null
@@ -1,31 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import time
-
-from google.cloud import language_v1
-from google.cloud.language_v1 import enums
-from google.cloud.language_v1.proto import language_service_pb2
-
-
-class TestSystemLanguageService(object):
-    def test_analyze_sentiment(self):
-
-        client = language_v1.LanguageServiceClient()
-        content = "Hello, world!"
-        type_ = enums.Document.Type.PLAIN_TEXT
-        document = {"content": content, "type": type_}
-        response = client.analyze_sentiment(document)
diff --git a/tests/system/gapic/v1beta2/test_system_language_service_v1beta2.py b/tests/system/gapic/v1beta2/test_system_language_service_v1beta2.py
deleted file mode 100644
index 81edf7d6..00000000
--- a/tests/system/gapic/v1beta2/test_system_language_service_v1beta2.py
+++ /dev/null
@@ -1,32 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import time
-
-from google.cloud import language_v1beta2
-from google.cloud.language_v1beta2 import enums
-from google.cloud.language_v1beta2.proto import language_service_pb2
-
-
-class TestSystemLanguageService(object):
-    def test_analyze_sentiment(self):
-
-        client = language_v1beta2.LanguageServiceClient()
-        content = "Hello, world!"
-        type_ = enums.Document.Type.PLAIN_TEXT
-        document = {"content": content, "type": type_}
-        encoding_type = enums.EncodingType.NONE
-        response = client.analyze_sentiment(document, encoding_type=encoding_type)
diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py
deleted file mode 100644
index df379f1e..00000000
--- a/tests/unit/__init__.py
+++ /dev/null
@@ -1,13 +0,0 @@
-# Copyright 2016 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
diff --git a/tests/unit/gapic/v1/test_language_service_client_v1.py b/tests/unit/gapic/v1/test_language_service_client_v1.py
deleted file mode 100644
index 8d8362ab..00000000
--- a/tests/unit/gapic/v1/test_language_service_client_v1.py
+++ /dev/null
@@ -1,310 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Unit tests."""
-
-import mock
-import pytest
-
-from google.cloud import language_v1
-from google.cloud.language_v1.proto import language_service_pb2
-
-
-class MultiCallableStub(object):
-    """Stub for the grpc.UnaryUnaryMultiCallable interface."""
-
-    def __init__(self, method, channel_stub):
-        self.method = method
-        self.channel_stub = channel_stub
-
-    def __call__(self, request, timeout=None, metadata=None, credentials=None):
-        self.channel_stub.requests.append((self.method, request))
-
-        response = None
-        if self.channel_stub.responses:
-            response = self.channel_stub.responses.pop()
-
-        if isinstance(response, Exception):
-            raise response
-
-        if response:
-            return response
-
-
-class ChannelStub(object):
-    """Stub for the grpc.Channel interface."""
-
-    def __init__(self, responses=[]):
-        self.responses = responses
-        self.requests = []
-
-    def unary_unary(self, method, request_serializer=None, response_deserializer=None):
-        return MultiCallableStub(method, self)
-
-
-class CustomException(Exception):
-    pass
-
-
-class TestLanguageServiceClient(object):
-    def test_analyze_sentiment(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnalyzeSentimentResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.analyze_sentiment(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnalyzeSentimentRequest(
-            document=document
-        )
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_analyze_sentiment_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.analyze_sentiment(document)
-
-    def test_analyze_entities(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnalyzeEntitiesResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.analyze_entities(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnalyzeEntitiesRequest(
-            document=document
-        )
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_analyze_entities_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.analyze_entities(document)
-
-    def test_analyze_entity_sentiment(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnalyzeEntitySentimentResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.analyze_entity_sentiment(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnalyzeEntitySentimentRequest(
-            document=document
-        )
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_analyze_entity_sentiment_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.analyze_entity_sentiment(document)
-
-    def test_analyze_syntax(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnalyzeSyntaxResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.analyze_syntax(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnalyzeSyntaxRequest(document=document)
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_analyze_syntax_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.analyze_syntax(document)
-
-    def test_classify_text(self):
-        # Setup Expected Response
-        expected_response = {}
-        expected_response = language_service_pb2.ClassifyTextResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.classify_text(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.ClassifyTextRequest(document=document)
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_classify_text_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.classify_text(document)
-
-    def test_annotate_text(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnnotateTextResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-        features = {}
-
-        response = client.annotate_text(document, features)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnnotateTextRequest(
-            document=document, features=features
-        )
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_annotate_text_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-        features = {}
-
-        with pytest.raises(CustomException):
-            client.annotate_text(document, features)
diff --git a/tests/unit/gapic/v1beta2/test_language_service_client_v1beta2.py b/tests/unit/gapic/v1beta2/test_language_service_client_v1beta2.py
deleted file mode 100644
index 548357be..00000000
--- a/tests/unit/gapic/v1beta2/test_language_service_client_v1beta2.py
+++ /dev/null
@@ -1,310 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright 2020 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Unit tests."""
-
-import mock
-import pytest
-
-from google.cloud import language_v1beta2
-from google.cloud.language_v1beta2.proto import language_service_pb2
-
-
-class MultiCallableStub(object):
-    """Stub for the grpc.UnaryUnaryMultiCallable interface."""
-
-    def __init__(self, method, channel_stub):
-        self.method = method
-        self.channel_stub = channel_stub
-
-    def __call__(self, request, timeout=None, metadata=None, credentials=None):
-        self.channel_stub.requests.append((self.method, request))
-
-        response = None
-        if self.channel_stub.responses:
-            response = self.channel_stub.responses.pop()
-
-        if isinstance(response, Exception):
-            raise response
-
-        if response:
-            return response
-
-
-class ChannelStub(object):
-    """Stub for the grpc.Channel interface."""
-
-    def __init__(self, responses=[]):
-        self.responses = responses
-        self.requests = []
-
-    def unary_unary(self, method, request_serializer=None, response_deserializer=None):
-        return MultiCallableStub(method, self)
-
-
-class CustomException(Exception):
-    pass
-
-
-class TestLanguageServiceClient(object):
-    def test_analyze_sentiment(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnalyzeSentimentResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.analyze_sentiment(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnalyzeSentimentRequest(
-            document=document
-        )
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_analyze_sentiment_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.analyze_sentiment(document)
-
-    def test_analyze_entities(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnalyzeEntitiesResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.analyze_entities(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnalyzeEntitiesRequest(
-            document=document
-        )
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_analyze_entities_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.analyze_entities(document)
-
-    def test_analyze_entity_sentiment(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnalyzeEntitySentimentResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.analyze_entity_sentiment(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnalyzeEntitySentimentRequest(
-            document=document
-        )
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_analyze_entity_sentiment_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.analyze_entity_sentiment(document)
-
-    def test_analyze_syntax(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnalyzeSyntaxResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.analyze_syntax(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnalyzeSyntaxRequest(document=document)
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_analyze_syntax_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.analyze_syntax(document)
-
-    def test_classify_text(self):
-        # Setup Expected Response
-        expected_response = {}
-        expected_response = language_service_pb2.ClassifyTextResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-
-        response = client.classify_text(document)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.ClassifyTextRequest(document=document)
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_classify_text_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-
-        with pytest.raises(CustomException):
-            client.classify_text(document)
-
-    def test_annotate_text(self):
-        # Setup Expected Response
-        language = "language-1613589672"
-        expected_response = {"language": language}
-        expected_response = language_service_pb2.AnnotateTextResponse(
-            **expected_response
-        )
-
-        # Mock the API response
-        channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup Request
-        document = {}
-        features = {}
-
-        response = client.annotate_text(document, features)
-        assert expected_response == response
-
-        assert len(channel.requests) == 1
-        expected_request = language_service_pb2.AnnotateTextRequest(
-            document=document, features=features
-        )
-        actual_request = channel.requests[0][1]
-        assert expected_request == actual_request
-
-    def test_annotate_text_exception(self):
-        # Mock the API response
-        channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
-        with patch as create_channel:
-            create_channel.return_value = channel
-            client = language_v1beta2.LanguageServiceClient()
-
-        # Setup request
-        document = {}
-        features = {}
-
-        with pytest.raises(CustomException):
-            client.annotate_text(document, features)