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spaCy
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=====
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http://spacy.io
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spaCy is a library for industrial-strength NLP in Python and Cython.
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The fastest natural language understanding pipeline available. Focus on good API, easy installation, and documentation.
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Documentation and details: http://spacy.io/
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Commercial licenses available, otherwise under AGPL.
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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.
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I left academia to make spaCy my full-time job. You can buy a commercial
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license, or you can use it under the AGPL.
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2015-06-24 v0.86
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----------------
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Features
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--------
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* Improvements in parser accuracy
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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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2015-06-08 v0.85
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----------------
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* Improvements in parser accuracy
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2015-05-12 v0.84
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----------------
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* Bug fixes for parsing
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* Bug fixes for named entity recognition
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Top Pefomance
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-------------
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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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Supports
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--------
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