Rooba
/
spaCy
mirror of https://github.com/explosion/spaCy.git
1
1
Fork 0
Code Issues Packages Projects Releases Wiki Activity
💫 Industrial-strength Natural Language Processing (NLP) in Python
706 Commits 70 Branches 177 Tags 298 MiB
Python 53.6%
MDX 31.4%
Cython 10.8%
JavaScript 2.6%
Sass 0.8%
Other 0.7%
Go to file
Matthew Honnibal f0bbffca8d * Fix the way numpy headers are installed during compilation from source 2015-01-30 18:14:45 +11:00
bin/parser * Allow parsers and taggers to be trained on text without gold pre-processing. 2015-01-30 16:36:24 +11:00
docs * Add draft work on features 2015-01-30 16:46:52 +11:00
spacy * Improve accuracy reporting during training 2015-01-30 18:05:06 +11:00
tests * Add test for parse tree navigation 2015-01-30 18:02:58 +11:00
.gitignore * Upd gitignore 2015-01-30 16:49:44 +11:00
.travis.yml * Change travis.yml to build from source, instead of from PyPi. PyPi checking will be done in a different branch. 2015-01-30 18:06:02 +11:00
LICENSE.txt * Add license file 2015-01-26 03:07:18 +11:00
MANIFEST.in * Add manifest file 2015-01-30 16:49:02 +11:00
README.md Update README.md 2015-01-27 21:55:36 +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
requirements.txt * Upd requirements 2015-01-25 23:01:42 +11:00
setup.py * Fix the way numpy headers are installed during compilation from source 2015-01-30 18:14:45 +11:00

README.md

spaCy

http://honnibal.github.io/spaCy

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

Tested (and working) with:

  • CPython 2.7
  • CPython 3.4
  • OSX
  • Linux

Untested:

  • Windows

Fails with:

  • PyPy 2.7
  • PyPy 3.4