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💫 Industrial-strength Natural Language Processing (NLP) in Python
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d70d31aa45
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Matthew Honnibal d70d31aa45 * Introduce first attempt at const-ness
2014-12-03 15:44:25 +11:00
data * Upd tokenization special-cases 2014-11-11 22:10:15 +11:00
docs * Make intro chattier, explain philosophy better 2014-12-02 15:20:18 +11:00
spacy * Introduce first attempt at const-ness 2014-12-03 15:44:25 +11:00
tests * Make StringStore.__getitem__ accept unicode-typed keys. 2014-12-03 01:33:20 +11:00
.gitignore * Upd gitignore 2014-11-12 23:25:27 +11:00
fabfile.py * Add conll experiments 2014-11-12 23:22:05 +11:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Rename external hashing lib, from trustyc to preshed 2014-09-26 18:40:03 +02:00
setup.py * Hack setup.py to exclude tagger stuff 2014-12-03 11:06:57 +11:00

README.md

spaCy

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