spaCy/README.md
2016-02-10 11:28:55 +01:00

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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.
Documentation and details: https://spacy.io/
spaCy is built on the very latest research, but it isn't researchware. It was
designed from day 1 to be used in real products. It's commercial open-source
software, released under the MIT license.
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.
Top Peformance
-------------
* 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
--------
* CPython 2.7
* CPython 3.4
* CPython 3.5
* OSX
* Linux
* Windows (Cygwin, MinGW, Visual Studio)
Difficult to support:
* PyPy 2.7
* PyPy 3.4