spaCy/README.md

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[![Travis CI status](https://travis-ci.org/spacy-io/spaCy.svg?branch=master)](https://travis-ci.org/spacy-io/spaCy)
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spaCy: Industrial-strength NLP
==============================
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spaCy is a library for advanced natural language processing in Python and Cython.
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Documentation and details: https://spacy.io/
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spaCy is built on the very latest research, but it isn't researchware. It was
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designed from day 1 to be used in real products. It's commercial open-source
software, released under the MIT license.
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Features
--------
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* Labelled dependency parsing (91.8% accuracy on OntoNotes 5)
* Named entity recognition (82.6% accuracy on OntoNotes 5)
* Part-of-speech tagging (97.1% accuracy on OntoNotes 5)
* Easy to use word vectors
* All strings mapped to integer IDs
* Export to numpy data arrays
* Alignment maintained to original string, ensuring easy mark up calculation
* Range of easy-to-use orthographic features.
* No pre-processing required. spaCy takes raw text as input, warts and newlines and all.
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Top Peformance
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-------------
* 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.
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Supports
--------
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* CPython 2.6, 2.7, 3.3, 3.4, 3.5 (only 64 bit)
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* OSX
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* Linux
* Windows (Cygwin, MinGW, Visual Studio)
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Difficult to support:
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* PyPy