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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal cbda38e2d9 * Improving docs
2014-08-20 21:09:39 +02:00
data * Add 's suffix to tokenization table 2014-08-18 23:21:37 +02:00
docs * Improving docs 2014-08-20 21:09:39 +02:00
spacy * Remove compiled orthography file 2014-08-20 17:04:07 +02:00
tests * Refactor spacy so that chunks return arrays of lexemes, so that there is properly one lexeme per word. 2014-08-18 19:14:00 +02:00
.gitignore * Upd gitignore 2014-08-20 17:04:33 +02:00
fabfile.py * Add documentation building to fabfile 2014-08-20 17:02:32 +02:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Temporarily remove sparsehash requirement 2014-08-20 17:12:19 +02:00
setup.py * Compile orthography.latin.pyx 2014-08-20 17:03:19 +02:00

README.md

spaCy

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