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spaCy
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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Python 53.6%
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JavaScript 2.6%
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Matthew Honnibal 1a3222af4b * Moving tokens to use an array internally, instead of a list of Lexeme objects. 2014-09-11 16:57:08 +02:00
data * Tests passing for new Word object version 2014-08-24 18:13:53 +02:00
docs * Tweak overview docs 2014-09-07 21:29:41 +02:00
spacy * Moving tokens to use an array internally, instead of a list of Lexeme objects. 2014-09-11 16:57:08 +02:00
tests * Avoid testing for object identity 2014-09-10 20:58:30 +02:00
.gitignore * Upd gitignore 2014-08-20 17:04:33 +02:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
fabfile.py * Only store LexemeC structs in the vocabulary, transforming them to Lexeme objects for output. Moving away from Lexeme objects for Tokens soon. 2014-09-11 12:28:38 +02:00
requirements.txt * Temporarily remove sparsehash requirement 2014-08-20 17:12:19 +02:00
setup.py * Restoring Lexeme-as-struct 2014-09-10 20:41:37 +02:00

README.md

spaCy

Lightning fast, full-cream NL tokenization. Tokens are pointers to rich Lexeme structs.