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spaCy
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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 437cd2217d * Fix strings i/o, removing use of ujson library in favour of plain text file. Allows better control of codecs. 2014-11-02 13:20:37 +11:00
data * Add emoticons to tokenization 2014-11-01 15:14:55 +11:00
docs * Update docs 2014-10-15 21:50:34 +11:00
spacy * Fix strings i/o, removing use of ujson library in favour of plain text file. Allows better control of codecs. 2014-11-02 13:20:37 +11:00
tests * Add tests for is_number 2014-11-01 19:13:40 +11:00
.gitignore * Upd gitignore 2014-08-20 17:04:33 +02:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
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
requirements.txt * Rename external hashing lib, from trustyc to preshed 2014-09-26 18:40:03 +02:00
setup.py * Update lexeme serialization, using a binary file format 2014-10-30 01:01:00 +11:00

README.md

spaCy

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