💫 Industrial-strength Natural Language Processing (NLP) in Python

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Matthew Honnibal 5af500909c * Remove unused directve from parser.pyx		2015-06-28 06:20:21 +02:00
bin	* Don't compile the orig_arc_eager and tree_arc_eager modules used for the EMNLP paper	2015-06-23 05:38:17 +02:00
contributors	Add CLA for suchow	2015-04-19 13:01:38 -07:00
docs	* Adjust speed claim in index.rst	2015-06-26 04:43:52 +02:00
lang_data/en	* Adjust hyphenation rule in tokenizer	2015-06-28 06:18:58 +02:00
spacy	* Remove unused directve from parser.pyx	2015-06-28 06:20:21 +02:00
tests	* Add test for strip_bad_periods reading in read_conll.parse	2015-06-18 16:36:04 +02:00
.gitignore	Don't track generated data files	2015-04-19 13:25:42 -07:00
.travis.yml	* Have travis use pip again...	2015-06-08 01:27:08 +02:00
LICENSE.txt	Tweak line spacing	2015-04-19 13:01:38 -07:00
MANIFEST.in	* Add manifest file	2015-01-30 16:49:02 +11:00
README.md	* Declare new release in docs	2015-06-24 05:05:33 +02:00
bootstrap_python_env.sh	* Add bootstrap script	2015-03-16 14:01:36 -04:00
dev_setup.py	Tweak line spacing	2015-04-19 13:01:38 -07:00
fabfile.py	* Fix fab test	2015-06-07 22:59:05 +02:00
requirements.txt	* Require thinc 2.0	2015-06-10 06:57:13 +02:00
setup.py	* Increment version	2015-06-24 04:52:15 +02:00
wordnet_license.txt	* Add WordNet license file	2015-02-01 16:11:53 +11:00

spaCy

The fastest natural language understanding pipeline available. Focus on good API, easy installation, and documentation.

Commercial licenses available, otherwise under AGPL.

2015-06-24 v0.86

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