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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 734d1da55c * Upd emoticons test
2014-12-21 20:43:27 +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 * More index.rst fiddling 2014-12-21 17:40:12 +11:00
spacy * Add attrs file for English 2014-12-21 11:29:11 +11:00
tests * Upd emoticons test 2014-12-21 20:43:27 +11:00
.gitignore * Ignore cpp files from parser 2014-12-18 09:05:51 +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 * Pin preshed to a particular version 2014-12-20 04:01:32 +11:00
setup.py * Add vocab.pyx to setup, and ensure we can import spacy.en.lang 2014-12-21 06:03:53 +11:00

README.md

spaCy

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