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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 495e1c7366 * Use fused type in Tokens.push_back, simplifying the use of the cache
2014-12-09 16:50:01 +11:00
data * Work on lemmatization 2014-12-09 16:06:18 +11:00
docs * Upd docs 2014-12-09 16:08:01 +11:00
spacy * Use fused type in Tokens.push_back, simplifying the use of the cache 2014-12-09 16:50:01 +11:00
tests * Remove test for loading ad hoc rules format 2014-12-09 16:08:45 +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 * Rearrange POS stuff, so that language-specific stuff can live in language-specific modules 2014-12-07 23:52:41 +11:00

README.md

spaCy

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