2016-03-12 13:31:39 +00:00
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.. image:: https://travis-ci.org/spacy-io/spaCy.svg?branch=master
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:target: https://travis-ci.org/spacy-io/spaCy
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2016-03-12 13:30:24 +00:00
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==============================
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2015-07-01 13:39:38 +00:00
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spaCy: Industrial-strength NLP
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==============================
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2014-07-03 15:15:40 +00:00
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2015-07-01 13:39:38 +00:00
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spaCy is a library for advanced natural language processing in Python and Cython.
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2015-02-01 03:47:18 +00:00
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2016-02-08 17:48:16 +00:00
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Documentation and details: https://spacy.io/
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2015-06-24 03:05:33 +00:00
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2015-07-01 13:27:37 +00:00
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spaCy is built on the very latest research, but it isn't researchware. It was
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2015-09-27 21:38:12 +00:00
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designed from day 1 to be used in real products. It's commercial open-source
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software, released under the MIT license.
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2015-06-24 03:05:33 +00:00
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2015-07-01 13:27:37 +00:00
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Features
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--------
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2015-02-01 03:47:18 +00:00
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2015-07-01 13:27:37 +00:00
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* Labelled dependency parsing (91.8% accuracy on OntoNotes 5)
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* Named entity recognition (82.6% accuracy on OntoNotes 5)
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* Part-of-speech tagging (97.1% accuracy on OntoNotes 5)
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* Easy to use word vectors
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* All strings mapped to integer IDs
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* Export to numpy data arrays
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* Alignment maintained to original string, ensuring easy mark up calculation
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* Range of easy-to-use orthographic features.
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* No pre-processing required. spaCy takes raw text as input, warts and newlines and all.
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2015-09-29 13:02:08 +00:00
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Top Peformance
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2016-03-13 17:12:32 +00:00
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--------------
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2015-07-01 13:27:37 +00:00
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* Fastest in the world: <50ms per document. No faster system has ever been
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announced.
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* Accuracy within 1% of the current state of the art on all tasks performed
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(parsing, named entity recognition, part-of-speech tagging). The only more
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accurate systems are an order of magnitude slower or more.
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2015-01-27 10:55:36 +00:00
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2015-05-12 01:32:53 +00:00
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Supports
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--------
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2015-01-27 10:55:23 +00:00
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2016-02-19 18:36:47 +00:00
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* CPython 2.6, 2.7, 3.3, 3.4, 3.5 (only 64 bit)
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2015-01-27 10:55:23 +00:00
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* OSX
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2016-02-08 17:47:37 +00:00
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* Linux
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* Windows (Cygwin, MinGW, Visual Studio)
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