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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 93505276ed * Add German tokenizer files
2014-09-25 18:29:13 +02:00
data * Add prefix and suffix data files 2014-09-25 18:24:52 +02:00
spacy * Add German tokenizer files 2014-09-25 18:29:13 +02:00
tests * Remove old docs stuff 2014-09-25 18:24:05 +02:00
.gitignore * Upd gitignore 2014-08-20 17:04:33 +02:00
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
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Switch from own memory class to cymem, in pip 2014-09-17 23:09:24 +02:00
setup.py * Use PointerHash instead of locally provided _hashing module 2014-09-25 18:23:35 +02:00

README.md

spaCy

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