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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal aafaf58cbe * Refactor _ml.Model, and finish implementing HastyModel so far not worthwhile.
2014-12-31 19:40:59 +11:00
data * Make suffixes file use full-power regex, so that we can handle periods properly 2014-12-09 19:04:27 +11:00
docs * Update docs 2014-12-30 21:20:34 +11:00
spacy * Refactor _ml.Model, and finish implementing HastyModel so far not worthwhile. 2014-12-31 19:40:59 +11:00
tests * Upd tests 2014-12-30 21:34:09 +11:00
.gitignore * Ignore cpp files within en dir 2014-12-23 15:19:01 +11:00
fabfile.py * Fix docs command in fabfile 2014-12-30 23:27:30 +11:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Pin preshed to a particular version 2014-12-20 04:01:32 +11:00
setup.py * Move tagger.pyx to _ml.pyx 2014-12-30 21:20:55 +11:00

README.md

spaCy

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