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    "info": {
        "author": "Explosion AI",
        "author_email": "contact@explosion.ai",
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            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
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            "Programming Language :: Cython",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
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        "description": "spaCy: Industrial-strength NLP\n******************************\n\nspaCy is a library for advanced Natural Language Processing in Python and Cython.\nIt's built on the very latest research, and was designed from day one to be\nused in real products. spaCy comes with\n`pre-trained statistical models <https://spacy.io/models>`_ and word\nvectors, and currently supports tokenization for **20+ languages**. It features\nthe **fastest syntactic parser** in the world, convolutional **neural network models**\nfor tagging, parsing and **named entity recognition** and easy **deep learning**\nintegration. It's commercial open-source software, released under the MIT license.\n\n\ud83d\udcab **Version 2.0 out now!** `Check out the new features here. <https://spacy.io/usage/v2>`_\n\n.. image:: https://img.shields.io/travis/explosion/spaCy/master.svg?style=flat-square\n    :target: https://travis-ci.org/explosion/spaCy\n    :alt: Build Status\n\n.. image:: https://img.shields.io/appveyor/ci/explosion/spaCy/master.svg?style=flat-square\n    :target: https://ci.appveyor.com/project/explosion/spaCy\n    :alt: Appveyor Build Status\n\n.. image:: https://img.shields.io/github/release/explosion/spacy.svg?style=flat-square\n    :target: https://github.com/explosion/spaCy/releases\n    :alt: Current Release Version\n\n.. image:: https://img.shields.io/pypi/v/spacy.svg?style=flat-square\n    :target: https://pypi.python.org/pypi/spacy\n    :alt: pypi Version\n\n.. image:: https://anaconda.org/conda-forge/spacy/badges/version.svg\n    :target: https://anaconda.org/conda-forge/spacy\n    :alt: conda Version\n\n.. image:: https://img.shields.io/badge/gitter-join%20chat%20%E2%86%92-09a3d5.svg?style=flat-square\n    :target: https://gitter.im/explosion/spaCy\n    :alt: spaCy on Gitter\n\n.. image:: https://img.shields.io/twitter/follow/spacy_io.svg?style=social&label=Follow\n    :target: https://twitter.com/spacy_io\n    :alt: spaCy on Twitter\n\n\ud83d\udcd6 Documentation\n================\n\n===================  ===\n`spaCy 101`_         New to spaCy? Here's everything you need to know!\n`Usage Guides`_      How to use spaCy and its features.\n`New in v2.0`_       New features, backwards incompatibilities and migration guide.\n`API Reference`_     The detailed reference for spaCy's API.\n`Models`_            Download statistical language models for spaCy.\n`Resources`_         Libraries, extensions, demos, books and courses.\n`Changelog`_         Changes and version history.\n`Contribute`_        How to contribute to the spaCy project and code base.\n===================  ===\n\n.. _spaCy 101: https://spacy.io/usage/spacy-101\n.. _New in v2.0: https://spacy.io/usage/v2#migrating\n.. _Usage Guides: https://spacy.io/usage/\n.. _API Reference: https://spacy.io/api/\n.. _Models: https://spacy.io/models\n.. _Resources: https://spacy.io/usage/resources\n.. _Changelog: https://spacy.io/usage/#changelog\n.. _Contribute: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md\n\n\ud83d\udcac Where to ask questions\n==========================\n\nThe spaCy project is maintained by `@honnibal <https://github.com/honnibal>`_\nand `@ines <https://github.com/ines>`_. Please understand that we won't be able\nto provide individual support via email. We also believe that help is much more\nvaluable if it's shared publicly, so that more people can benefit from it.\n\n====================== ===\n**Bug Reports**        `GitHub Issue Tracker`_\n**Usage Questions**    `StackOverflow`_, `Gitter Chat`_, `Reddit User Group`_\n**General Discussion** `Gitter Chat`_, `Reddit User Group`_\n====================== ===\n\n.. _GitHub Issue Tracker: https://github.com/explosion/spaCy/issues\n.. _StackOverflow: http://stackoverflow.com/questions/tagged/spacy\n.. _Gitter Chat: https://gitter.im/explosion/spaCy\n.. _Reddit User Group: https://www.reddit.com/r/spacynlp\n\nFeatures\n========\n\n* **Fastest syntactic parser** in the world\n* **Named entity** recognition\n* Non-destructive **tokenization**\n* Support for **20+ languages**\n* Pre-trained `statistical models <https://spacy.io/models>`_ and word vectors\n* Easy **deep learning** integration\n* Part-of-speech tagging\n* Labelled dependency parsing\n* Syntax-driven sentence segmentation\n* Built in **visualizers** for syntax and NER\n* Convenient string-to-hash mapping\n* Export to numpy data arrays\n* Efficient binary serialization\n* Easy **model packaging** and deployment\n* State-of-the-art speed\n* Robust, rigorously evaluated accuracy\n\n\ud83d\udcd6  **For more details, see the** `facts, figures and benchmarks <https://spacy.io/usage/facts-figures>`_.\n\nInstall spaCy\n=============\n\nFor detailed installation instructions, see\nthe `documentation <https://spacy.io/usage>`_.\n\n==================== ===\n**Operating system** macOS / OS X, Linux, Windows (Cygwin, MinGW, Visual Studio)\n**Python version**   CPython 2.7, 3.4+. Only 64 bit.\n**Package managers** `pip`_ (source packages only), `conda`_ (via ``conda-forge``)\n==================== ===\n\n.. _pip: https://pypi.python.org/pypi/spacy\n.. _conda: https://anaconda.org/conda-forge/spacy\n\npip\n---\n\nUsing pip, spaCy releases are currently only available as source packages.\n\n.. code:: bash\n\n    pip install spacy\n\nWhen using pip it is generally recommended to install packages in a virtual\nenvironment to avoid modifying system state:\n\n.. code:: bash\n\n    venv .env\n    source .env/bin/activate\n    pip install spacy\n\nconda\n-----\n\nThanks to our great community, we've finally re-added conda support. You can now\ninstall spaCy via ``conda-forge``:\n\n.. code:: bash\n\n \u00a0  conda config --add channels conda-forge\n \u00a0  conda install spacy\n\nFor the feedstock including the build recipe and configuration,\ncheck out `this repository <https://github.com/conda-forge/spacy-feedstock>`_.\nImprovements and pull requests to the recipe and setup are always appreciated.\n\nUpdating spaCy\n--------------\n\nSome updates to spaCy may require downloading new statistical models. If you're\nrunning spaCy v2.0 or higher, you can use the ``validate`` command to check if\nyour installed models are compatible and if not, print details on how to update\nthem:\n\n.. code:: bash\n\n    pip install -U spacy\n    python -m spacy validate\n\nIf you've trained your own models, keep in mind that your training and runtime\ninputs must match. After updating spaCy, we recommend **retraining your models**\nwith the new version.\n\n\ud83d\udcd6  **For details on upgrading from spaCy 1.x to spaCy 2.x, see the**\n`migration guide <https://spacy.io/usage/v2#migrating>`_.\n\nDownload models\n===============\n\nAs of v1.7.0, models for spaCy can be installed as **Python packages**.\nThis means that they're a component of your application, just like any\nother module. Models can be installed using spaCy's ``download`` command,\nor manually by pointing pip to a path or URL.\n\n======================= ===\n`Available Models`_     Detailed model descriptions, accuracy figures and benchmarks.\n`Models Documentation`_ Detailed usage instructions.\n======================= ===\n\n.. _Available Models: https://spacy.io/models\n.. _Models Documentation: https://spacy.io/docs/usage/models\n\n.. code:: bash\n\n    # out-of-the-box: download best-matching default model\n    python -m spacy download en\n\n    # download best-matching version of specific model for your spaCy installation\n    python -m spacy download en_core_web_lg\n\n    # pip install .tar.gz archive from path or URL\n    pip install /Users/you/en_core_web_sm-2.0.0.tar.gz\n\nLoading and using models\n------------------------\n\nTo load a model, use ``spacy.load()`` with the model's shortcut link:\n\n.. code:: python\n\n    import spacy\n    nlp = spacy.load('en')\n    doc = nlp(u'This is a sentence.')\n\nIf you've installed a model via pip, you can also ``import`` it directly and\nthen call its ``load()`` method:\n\n.. code:: python\n\n    import spacy\n    import en_core_web_sm\n\n    nlp = en_core_web_.load()\n    doc = nlp(u'This is a sentence.')\n\n\ud83d\udcd6 **For more info and examples, check out the**\n`models documentation <https://spacy.io/docs/usage/models>`_.\n\nSupport for older versions\n--------------------------\n\nIf you're using an older version (``v1.6.0`` or below), you can still download\nand install the old models from within spaCy using ``python -m spacy.en.download all``\nor ``python -m spacy.de.download all``. The ``.tar.gz`` archives are also\n`attached to the v1.6.0 release <https://github.com/explosion/spaCy/tree/v1.6.0>`_.\nTo download and install the models manually, unpack the archive, drop the\ncontained directory into ``spacy/data`` and load the model via ``spacy.load('en')``\nor ``spacy.load('de')``.\n\nCompile from source\n===================\n\nThe other way to install spaCy is to clone its\n`GitHub repository <https://github.com/explosion/spaCy>`_ and build it from\nsource. That is the common way if you want to make changes to the code base.\nYou'll need to make sure that you have a development environment consisting of a\nPython distribution including header files, a compiler,\n`pip <https://pip.pypa.io/en/latest/installing/>`__, `virtualenv <https://virtualenv.pypa.io/>`_\nand `git <https://git-scm.com>`_ installed. The compiler part is the trickiest.\nHow to do that depends on your system. See notes on Ubuntu, OS X and Windows for\ndetails.\n\n.. code:: bash\n\n    # make sure you are using recent pip/virtualenv versions\n    python -m pip install -U pip venv\n    git clone https://github.com/explosion/spaCy\n    cd spaCy\n\n    venv .env\n    source .env/bin/activate\n    export PYTHONPATH=`pwd`\n    pip install -r requirements.txt\n    python setup.py build_ext --inplace\n\nCompared to regular install via pip, `requirements.txt <requirements.txt>`_\nadditionally installs developer dependencies such as Cython. For more details\nand instructions, see the documentation on\n`compiling spaCy from source <https://spacy.io/usage/#source>`_ and the\n`quickstart widget <https://spacy.io/usage/#section-quickstart>`_ to get\nthe right commands for your platform and Python version.\n\nInstead of the above verbose commands, you can also use the following\n`Fabric <http://www.fabfile.org/>`_ commands. All commands assume that your\nvirtual environment is located in a directory ``.env``. If you're using a\ndifferent directory, you can change it via the environment variable ``VENV_DIR``,\nfor example ``VENV_DIR=\".custom-env\" fab clean make``.\n\n============= ===\n``fab env``   Create virtual environment and delete previous one, if it exists.\n``fab make``  Compile the source.\n``fab clean`` Remove compiled objects, including the generated C++.\n``fab test``  Run basic tests, aborting after first failure.\n============= ===\n\nUbuntu\n------\n\nInstall system-level dependencies via ``apt-get``:\n\n.. code:: bash\n\n    sudo apt-get install build-essential python-dev git\n\nmacOS / OS X\n------------\n\nInstall a recent version of `XCode <https://developer.apple.com/xcode/>`_,\nincluding the so-called \"Command Line Tools\". macOS and OS X ship with Python\nand git preinstalled.\n\nWindows\n-------\n\nInstall a version of `Visual Studio Express <https://www.visualstudio.com/vs/visual-studio-express/>`_\nor higher that matches the version that was used to compile your Python\ninterpreter. For official distributions these are VS 2008 (Python 2.7),\nVS 2010 (Python 3.4) and VS 2015 (Python 3.5).\n\nRun tests\n=========\n\nspaCy comes with an `extensive test suite <spacy/tests>`_. First, find out where\nspaCy is installed:\n\n.. code:: bash\n\n    python -c \"import os; import spacy; print(os.path.dirname(spacy.__file__))\"\n\nThen run ``pytest`` on that directory. The flags ``--vectors``, ``--slow``\nand ``--model`` are optional and enable additional tests:\n\n.. code:: bash\n\n    # make sure you are using recent pytest version\n    python -m pip install -U pytest\n    python -m pytest <spacy-directory>",
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