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