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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 71ee921055 * Slight cleaning of tokenizer code
2014-10-10 19:17:22 +11:00
data * Add prefix and suffix data files 2014-09-25 18:24:52 +02:00
docs * Upd docs 2014-09-26 18:40:18 +02:00
spacy * Slight cleaning of tokenizer code 2014-10-10 19:17:22 +11:00
tests * Switch to new data model, tests passing 2014-10-10 08:11:31 +11:00
.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 * Rename external hashing lib, from trustyc to preshed 2014-09-26 18:40:03 +02:00
setup.py * Remove ptb3 file from setup 2014-09-25 18:41:25 +02:00

README.md

spaCy

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