💫 Industrial-strength Natural Language Processing (NLP) in Python
Go to file
Matthew Honnibal bfeb29ebd1 * Tmp commit
2015-05-24 02:50:14 +02:00
bin * Tmp commit 2015-05-24 02:50:14 +02:00
contributors Add CLA for suchow 2015-04-19 13:01:38 -07:00
docs * Add example JSON-formatted training file 2015-05-12 22:42:37 +02:00
lang_data/en Remove trailing whitespace 2015-04-19 13:01:38 -07:00
spacy * Tmp commit. Working on whole document parsing 2015-05-24 02:49:56 +02:00
tests * Add PTB file read tests 2015-05-20 17:29:27 +02:00
.gitignore Don't track generated data files 2015-04-19 13:25:42 -07:00
.travis.yml Minor copyediting 2015-04-19 13:01:38 -07:00
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 * Update fabfile.py for JSON-formatted training 2015-05-12 22:34:07 +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 * Tweak readme.md 2015-05-12 03:32:53 +02:00
requirements.txt * Add pathlib requirement 2015-04-12 07:17:48 +02:00
setup.py * Tmp commit 2015-05-24 02:50:14 +02:00
wordnet_license.txt * Add WordNet license file 2015-02-01 16:11:53 +11:00

spaCy

http://honnibal.github.io/spaCy

A pipeline for fast, state-of-the-art natural language processing. Commercial licenses available, otherwise under AGPL.

2015-05-12 v0.84

  • Bug fixes for parsing
  • Bug fixes for named entity recognition

Supports

  • CPython 2.7
  • CPython 3.4
  • OSX
  • Linux
  • Cygwin

Want to support:

  • Visual Studio

Difficult to support:

  • PyPy 2.7
  • PyPy 3.4