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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Dan Blanchard d942c24639 Make the accuracy table show up 
It was previously commented out.  I'm not sure if this was intentional, but the text "The table above" was very confusing without the table.
2015-01-25 17:31:34 -05:00
bin/parser * Update parser training script for tweaked parser API 2015-01-25 02:20:49 +11:00
docs Make the accuracy table show up 2015-01-25 17:31:34 -05:00
spacy * Fix error msg 2015-01-25 23:01:30 +11:00
tests * Fix unicode in test 2015-01-25 19:04:23 +11:00
.gitignore * Ignore cpp files within en dir 2014-12-23 15:19:01 +11:00
.travis.yml * Allow pypy test to fail 2015-01-06 13:13:04 +11:00
dev_setup.py * Upd dev_setup 2015-01-03 21:02:03 +11:00
fabfile.py * Fix clean command 2015-01-25 14:49:29 +11:00
LICENSE.txt * Add license file 2015-01-26 03:07:18 +11:00
README.md Update README.md 2015-01-26 03:03:50 +11:00
requirements.txt * Upd requirements 2015-01-25 23:01:42 +11:00
setup.py * Inc version, and add wget as requirement 2015-01-25 23:00:54 +11:00

README.md

spaCy

Fast, state-of-the-art natural language processing pipeline. Commercial licenses available, or use under AGPL.

http://honnibal.github.io/spaCy