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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 5233f110c4 * Adding PTB3 tokenizer back in, so can understand how much boilerplate is in the docs for multiple tokenizers
2014-08-29 02:30:27 +02:00
data * Tests passing for new Word object version 2014-08-24 18:13:53 +02:00
docs * Docs coming together 2014-08-29 01:59:23 +02:00
spacy * Adding PTB3 tokenizer back in, so can understand how much boilerplate is in the docs for multiple tokenizers 2014-08-29 02:30:27 +02:00
tests * Redesign proceeding 2014-08-28 19:45:09 +02:00
.gitignore * Upd gitignore 2014-08-20 17:04:33 +02:00
fabfile.py * Tests passing for new Word object version 2014-08-24 18:13:53 +02:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Temporarily remove sparsehash requirement 2014-08-20 17:12:19 +02:00
setup.py * More refactoring 2014-08-25 16:42:22 +02:00

README.md

spaCy

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