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spaCy: Industrial-strength NLP
******************************
spaCy is a library for advanced natural language processing in Python and
spaCy is a library for advanced Natural Language Processing in Python and
Cython. spaCy is built on the very latest research, but it isn't researchware.
It was designed from day one to be used in real products. spaCy currently supports
English, German, French and Spanish, as well as tokenization for Italian,
Portuguese, Dutch, Swedish, Finnish, Norwegian, Danish, Hungarian, Polish,
Bengali, Hebrew, Chinese and Japanese. It's commercial open-source software,
released under the MIT license.
It was designed from day one to be used in real products. spaCy comes with
`pre-trained statistical models <https://alpha.spacy.io/models>`_ and word
vectors, and currently supports tokenization for **20+ languages**. It features
the **fastest syntactic parser** in the world, convolutional **neural network models**
for tagging, parsing and **named entity recognition** and easy **deep learning**
integration. It's commercial open-source software, released under the MIT license.
💫 **Version 1.8 out now!** `Read the release notes here. <https://github.com/explosion/spaCy/releases/>`_
💫 **Version 2.0 out now!** `Check out the new features here. <https://alpha.spacy.io/usage/v2>`_
.. image:: https://img.shields.io/travis/explosion/spaCy/master.svg?style=flat-square
:target: https://travis-ci.org/explosion/spaCy
@ -38,68 +39,72 @@ released under the MIT license.
📖 Documentation
================
=================== ===
`Usage Workflows`_ How to use spaCy and its features.
`API Reference`_ The detailed reference for spaCy's API.
`Troubleshooting`_ Common problems and solutions for beginners.
`Tutorials`_ End-to-end examples, with code you can modify and run.
`Showcase & Demos`_ Demos, libraries and products from the spaCy community.
`Contribute`_ How to contribute to the spaCy project and code base.
=================== ===
=================== ===
`spaCy 101`_ New to spaCy? Here's everything you need to know!
`Usage Guides`_ How to use spaCy and its features.
`New in v2.0`_ New features, backwards incompatibilitiies and migration guide.
`API Reference`_ The detailed reference for spaCy's API.
`Models`_ Download statistical language models for spaCy.
`Resources`_ Libraries, extensions, demos, books and courses.
`Changelog`_ Changes and version history.
`Contribute`_ How to contribute to the spaCy project and code base.
=================== ===
.. _Usage Workflows: https://spacy.io/docs/usage/
.. _API Reference: https://spacy.io/docs/api/
.. _Troubleshooting: https://spacy.io/docs/usage/troubleshooting
.. _Tutorials: https://spacy.io/docs/usage/tutorials
.. _Showcase & Demos: https://spacy.io/docs/usage/showcase
.. _spaCy 101: https://alpha.spacy.io/usage/spacy-101
.. _New in v2.0: https://alpha.spacy.io/usage/v2#migrating
.. _Usage Guides: https://alpha.spacy.io/usage/
.. _API Reference: https://alpha.spacy.io/api/
.. _Models: https://alpha.spacy.io/models
.. _Resources: https://alpha.spacy.io/usage/resources
.. _Changelog: https://alpha.spacy.io/usage/#changelog
.. _Contribute: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md
💬 Where to ask questions
==========================
The spaCy project is maintained by `@honnibal <https://github.com/honnibal>`_
and `@ines <https://github.com/ines>`_. Please understand that we won't be able
to provide individual support via email. We also believe that help is much more
valuable if it's shared publicly, so that more people can benefit from it.
====================== ===
**Bug reports** `GitHub issue tracker`_
**Usage questions** `StackOverflow`_, `Gitter chat`_, `Reddit user group`_
**General discussion** `Gitter chat`_, `Reddit user group`_
**Commercial support** contact@explosion.ai
**Bug Reports** `GitHub Issue Tracker`_
**Usage Questions** `StackOverflow`_, `Gitter Chat`_, `Reddit User Group`_
**General Discussion** `Gitter Chat`_, `Reddit User Group`_
====================== ===
.. _GitHub issue tracker: https://github.com/explosion/spaCy/issues
.. _GitHub Issue Tracker: https://github.com/explosion/spaCy/issues
.. _StackOverflow: http://stackoverflow.com/questions/tagged/spacy
.. _Gitter chat: https://gitter.im/explosion/spaCy
.. _Reddit user group: https://www.reddit.com/r/spacynlp
.. _Gitter Chat: https://gitter.im/explosion/spaCy
.. _Reddit User Group: https://www.reddit.com/r/spacynlp
Features
========
* Non-destructive **tokenization**
* Syntax-driven sentence segmentation
* Pre-trained **word vectors**
* Part-of-speech tagging
* **Fastest syntactic parser** in the world
* **Named entity** recognition
* Labelled dependency parsing
* Convenient string-to-int mapping
* Export to numpy data arrays
* GIL-free **multi-threading**
* Efficient binary serialization
* Non-destructive **tokenization**
* Support for **20+ languages**
* Pre-trained `statistical models <https://alpha.spacy.io/models>`_ and word vectors
* Easy **deep learning** integration
* Statistical models for **English**, **German**, **French** and **Spanish**
* Part-of-speech tagging
* Labelled dependency parsing
* Syntax-driven sentence segmentation
* Built in **visualizers** for syntax and NER
* Convenient string-to-hash mapping
* Export to numpy data arrays
* Efficient binary serialization
* Easy **model packaging** and deployment
* State-of-the-art speed
* Robust, rigorously evaluated accuracy
See `facts, figures and benchmarks <https://spacy.io/docs/api/>`_.
📖 **For more details, see the** `facts, figures and benchmarks <https://alpha.spacy.io/usage/facts-figures>`_.
Top Performance
---------------
Install spaCy
=============
* Fastest in the world: <50ms per document. No faster system has ever been
announced.
* Accuracy within 1% of the current state of the art on all tasks performed
(parsing, named entity recognition, part-of-speech tagging). The only more
accurate systems are an order of magnitude slower or more.
Supports
--------
For detailed installation instructions, see
the `documentation <https://alpha.spacy.io/usage>`_.
==================== ===
**Operating system** macOS / OS X, Linux, Windows (Cygwin, MinGW, Visual Studio)
@ -110,12 +115,6 @@ Supports
.. _pip: https://pypi.python.org/pypi/spacy
.. _conda: https://anaconda.org/conda-forge/spacy
Install spaCy
=============
Installation requires a working build environment. See notes on Ubuntu,
macOS/OS X and Windows for details.
pip
---
@ -123,7 +122,7 @@ Using pip, spaCy releases are currently only available as source packages.
.. code:: bash
pip install -U spacy
pip install spacy
When using pip it is generally recommended to install packages in a ``virtualenv``
to avoid modifying system state:
@ -149,25 +148,41 @@ For the feedstock including the build recipe and configuration,
check out `this repository <https://github.com/conda-forge/spacy-feedstock>`_.
Improvements and pull requests to the recipe and setup are always appreciated.
Updating spaCy
--------------
Some updates to spaCy may require downloading new statistical models. If you're
running spaCy v2.0 or higher, you can use the ``validate`` command to check if
your installed models are compatible and if not, print details on how to update
them:
.. code:: bash
pip install -U spacy
spacy validate
If you've trained your own models, keep in mind that your training and runtime
inputs must match. After updating spaCy, we recommend **retraining your models**
with the new version.
📖 **For details on upgrading from spaCy 1.x to spaCy 2.x, see the**
`migration guide <https://alpha.spacy.io/usage/v2#migrating>`_.
Download models
===============
As of v1.7.0, models for spaCy can be installed as **Python packages**.
This means that they're a component of your application, just like any
other module. They're versioned and can be defined as a dependency in your
``requirements.txt``. Models can be installed from a download URL or
a local directory, manually or via pip. Their data can be located anywhere on
your file system. To make a model available to spaCy, all you need to do is
create a "shortcut link", an internal alias that tells spaCy where to find the
data files for a specific model name.
other module. Models can be installed using spaCy's ``download`` command,
or manually by pointing pip to a path or URL.
======================= ===
`spaCy Models`_ Available models, latest releases and direct download.
`Available Models`_ Detailed model descriptions, accuracy figures and benchmarks.
`Models Documentation`_ Detailed usage instructions.
======================= ===
.. _spaCy Models: https://github.com/explosion/spacy-models/releases/
.. _Models Documentation: https://spacy.io/docs/usage/models
.. _Available Models: https://alpha.spacy.io/models
.. _Models Documentation: https://alpha.spacy.io/docs/usage/models
.. code:: bash
@ -175,17 +190,10 @@ data files for a specific model name.
python -m spacy download en
# download best-matching version of specific model for your spaCy installation
python -m spacy download en_core_web_md
python -m spacy download en_core_web_lg
# pip install .tar.gz archive from path or URL
pip install /Users/you/en_core_web_md-1.2.0.tar.gz
pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_md-1.2.0/en_core_web_md-1.2.0.tar.gz
# set up shortcut link to load installed package as "en_default"
python -m spacy link en_core_web_md en_default
# set up shortcut link to load local model as "my_amazing_model"
python -m spacy link /Users/you/data my_amazing_model
pip install /Users/you/en_core_web_sm-2.0.0.tar.gz
Loading and using models
------------------------
@ -199,24 +207,24 @@ To load a model, use ``spacy.load()`` with the model's shortcut link:
doc = nlp(u'This is a sentence.')
If you've installed a model via pip, you can also ``import`` it directly and
then call its ``load()`` method with no arguments. This should also work for
older models in previous versions of spaCy.
then call its ``load()`` method:
.. code:: python
import spacy
import en_core_web_md
import en_core_web_sm
nlp = en_core_web_md.load()
nlp = en_core_web_.load()
doc = nlp(u'This is a sentence.')
📖 **For more info and examples, check out the** `models documentation <https://spacy.io/docs/usage/models>`_.
📖 **For more info and examples, check out the**
`models documentation <https://alpha.spacy.io/docs/usage/models>`_.
Support for older versions
--------------------------
If you're using an older version (v1.6.0 or below), you can still download and
install the old models from within spaCy using ``python -m spacy.en.download all``
If you're using an older version (``v1.6.0`` or below), you can still download
and install the old models from within spaCy using ``python -m spacy.en.download all``
or ``python -m spacy.de.download all``. The ``.tar.gz`` archives are also
`attached to the v1.6.0 release <https://github.com/explosion/spaCy/tree/v1.6.0>`_.
To download and install the models manually, unpack the archive, drop the
@ -248,11 +256,13 @@ details.
pip install -r requirements.txt
pip install -e .
Compared to regular install via pip `requirements.txt <requirements.txt>`_
Compared to regular install via pip, `requirements.txt <requirements.txt>`_
additionally installs developer dependencies such as Cython.
Instead of the above verbose commands, you can also use the following
`Fabric <http://www.fabfile.org/>`_ commands:
`Fabric <http://www.fabfile.org/>`_ commands. All commands assume that your
``virtualenv`` is located in a directory ``.env``. If you're using a different
directory, you can change it via the environment variable ``VENV_DIR``, for
example ``VENV_DIR=".custom-env" fab clean make``.
============= ===
``fab env`` Create ``virtualenv`` and delete previous one, if it exists.
@ -261,14 +271,6 @@ Instead of the above verbose commands, you can also use the following
``fab test`` Run basic tests, aborting after first failure.
============= ===
All commands assume that your ``virtualenv`` is located in a directory ``.env``.
If you're using a different directory, you can change it via the environment
variable ``VENV_DIR``, for example:
.. code:: bash
VENV_DIR=".custom-env" fab clean make
Ubuntu
------
@ -310,76 +312,4 @@ and ``--model`` are optional and enable additional tests:
# make sure you are using recent pytest version
python -m pip install -U pytest
python -m pytest <spacy-directory>
🛠 Changelog
============
=========== ============== ===========
Version Date Description
=========== ============== ===========
`v1.8.2`_ ``2017-04-26`` French model and small improvements
`v1.8.1`_ ``2017-04-23`` Saving, loading and training bug fixes
`v1.8.0`_ ``2017-04-16`` Better NER training, saving and loading
`v1.7.5`_ ``2017-04-07`` Bug fixes and new CLI commands
`v1.7.3`_ ``2017-03-26`` Alpha support for Hebrew, new CLI commands and bug fixes
`v1.7.2`_ ``2017-03-20`` Small fixes to beam parser and model linking
`v1.7.1`_ ``2017-03-19`` Fix data download for system installation
`v1.7.0`_ ``2017-03-18`` New 50 MB model, CLI, better downloads and lots of bug fixes
`v1.6.0`_ ``2017-01-16`` Improvements to tokenizer and tests
`v1.5.0`_ ``2016-12-27`` Alpha support for Swedish and Hungarian
`v1.4.0`_ ``2016-12-18`` Improved language data and alpha Dutch support
`v1.3.0`_ ``2016-12-03`` Improve API consistency
`v1.2.0`_ ``2016-11-04`` Alpha tokenizers for Chinese, French, Spanish, Italian and Portuguese
`v1.1.0`_ ``2016-10-23`` Bug fixes and adjustments
`v1.0.0`_ ``2016-10-18`` Support for deep learning workflows and entity-aware rule matcher
`v0.101.0`_ ``2016-05-10`` Fixed German model
`v0.100.7`_ ``2016-05-05`` German support
`v0.100.6`_ ``2016-03-08`` Add support for GloVe vectors
`v0.100.5`_ ``2016-02-07`` Fix incorrect use of header file
`v0.100.4`_ ``2016-02-07`` Fix OSX problem introduced in 0.100.3
`v0.100.3`_ ``2016-02-06`` Multi-threading, faster loading and bugfixes
`v0.100.2`_ ``2016-01-21`` Fix data version lock
`v0.100.1`_ ``2016-01-21`` Fix install for OSX
`v0.100`_ ``2016-01-19`` Revise setup.py, better model downloads, bug fixes
`v0.99`_ ``2015-11-08`` Improve span merging, internal refactoring
`v0.98`_ ``2015-11-03`` Smaller package, bug fixes
`v0.97`_ ``2015-10-23`` Load the StringStore from a json list, instead of a text file
`v0.96`_ ``2015-10-19`` Hotfix to .merge method
`v0.95`_ ``2015-10-18`` Bug fixes
`v0.94`_ ``2015-10-09`` Fix memory and parse errors
`v0.93`_ ``2015-09-22`` Bug fixes to word vectors
=========== ============== ===========
.. _v1.8.2: https://github.com/explosion/spaCy/releases/tag/v1.8.2
.. _v1.8.1: https://github.com/explosion/spaCy/releases/tag/v1.8.1
.. _v1.8.0: https://github.com/explosion/spaCy/releases/tag/v1.8.0
.. _v1.7.5: https://github.com/explosion/spaCy/releases/tag/v1.7.5
.. _v1.7.3: https://github.com/explosion/spaCy/releases/tag/v1.7.3
.. _v1.7.2: https://github.com/explosion/spaCy/releases/tag/v1.7.2
.. _v1.7.1: https://github.com/explosion/spaCy/releases/tag/v1.7.1
.. _v1.7.0: https://github.com/explosion/spaCy/releases/tag/v1.7.0
.. _v1.6.0: https://github.com/explosion/spaCy/releases/tag/v1.6.0
.. _v1.5.0: https://github.com/explosion/spaCy/releases/tag/v1.5.0
.. _v1.4.0: https://github.com/explosion/spaCy/releases/tag/v1.4.0
.. _v1.3.0: https://github.com/explosion/spaCy/releases/tag/v1.3.0
.. _v1.2.0: https://github.com/explosion/spaCy/releases/tag/v1.2.0
.. _v1.1.0: https://github.com/explosion/spaCy/releases/tag/v1.1.0
.. _v1.0.0: https://github.com/explosion/spaCy/releases/tag/v1.0.0
.. _v0.101.0: https://github.com/explosion/spaCy/releases/tag/0.101.0
.. _v0.100.7: https://github.com/explosion/spaCy/releases/tag/0.100.7
.. _v0.100.6: https://github.com/explosion/spaCy/releases/tag/0.100.6
.. _v0.100.5: https://github.com/explosion/spaCy/releases/tag/0.100.5
.. _v0.100.4: https://github.com/explosion/spaCy/releases/tag/0.100.4
.. _v0.100.3: https://github.com/explosion/spaCy/releases/tag/0.100.3
.. _v0.100.2: https://github.com/explosion/spaCy/releases/tag/0.100.2
.. _v0.100.1: https://github.com/explosion/spaCy/releases/tag/0.100.1
.. _v0.100: https://github.com/explosion/spaCy/releases/tag/0.100
.. _v0.99: https://github.com/explosion/spaCy/releases/tag/0.99
.. _v0.98: https://github.com/explosion/spaCy/releases/tag/0.98
.. _v0.97: https://github.com/explosion/spaCy/releases/tag/0.97
.. _v0.96: https://github.com/explosion/spaCy/releases/tag/0.96
.. _v0.95: https://github.com/explosion/spaCy/releases/tag/0.95
.. _v0.94: https://github.com/explosion/spaCy/releases/tag/0.94
.. _v0.93: https://github.com/explosion/spaCy/releases/tag/0.93