explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2024-09-21 11:29:13 +03:00
Code Issues Packages Projects Releases Wiki Activity
💫 Industrial-strength Natural Language Processing (NLP) in Python
2,804 Commits 66 Branches 174 Tags 277 MiB
Python 53.7%
MDX 31.3%
Cython 10.7%
JavaScript 2.7%
Sass 0.8%
Other 0.7%
1a93d7f725
Go to file
Yaser Martinez Palenzuela 1a93d7f725 replace codecs.open with io.open
2016-03-01 14:10:11 +01:00
bin replace codecs.open with io.open 2016-03-01 14:10:11 +01:00
contributors Add contributor. 2015-10-07 17:55:46 -07:00
corpora/en * Add wordnet 2015-09-21 19:06:48 +10:00
examples move displacy to its own subdomain 2016-02-19 14:03:52 +01:00
include * Add header files to repo, to prevent cross-compilation problems 2016-02-06 22:57:11 +01:00
lang_data * Set the German lemma rules to be an empty JSON object 2016-02-02 22:30:51 +01:00
spacy remove unidecode-related test 2016-02-24 18:22:22 +01:00
website move displacy to its own subdomain 2016-02-19 14:03:52 +01:00
.gitignore Added Windows file to .gitignore 2015-10-13 10:58:30 +03:00
.travis.yml Update .travis.yml 2016-02-09 19:34:24 +01:00
bootstrap_python_env.sh * Add bootstrap script 2015-03-16 14:01:36 -04:00
buildbot.json add run section to buildbot.json 2016-02-26 23:04:33 +01:00
fabfile.py Merge branch 'master' of https://github.com/honnibal/spaCy 2015-12-28 18:03:06 +01:00
LICENSE.txt * Change from AGPL to MIT 2015-09-28 07:37:12 +10:00
MANIFEST.in fix windows readme 2015-12-21 21:58:53 +01:00
package.json Update package.json 2016-02-14 20:19:26 +01:00
README-MSVC.txt fix windows readme 2015-12-21 21:58:53 +01:00
README.md Update README.md 2016-02-19 19:36:47 +01:00
requirements.txt remove text-unidecode dependency 2016-02-24 08:01:59 +01:00
setup.py remove text-unidecode dependency 2016-02-24 08:01:59 +01:00
tox.ini refactor setup.py 2015-12-13 23:32:23 +01:00
wordnet_license.txt * Add WordNet license file 2015-02-01 16:11:53 +11:00

README.md

Travis CI status

spaCy: Industrial-strength NLP

spaCy is a library for advanced natural language processing in Python and Cython.

Documentation and details: https://spacy.io/

spaCy is built on the very latest research, but it isn't researchware. It was designed from day 1 to be used in real products. It's commercial open-source software, released under the MIT license.

Features

  • Labelled dependency parsing (91.8% accuracy on OntoNotes 5)
  • Named entity recognition (82.6% accuracy on OntoNotes 5)
  • Part-of-speech tagging (97.1% accuracy on OntoNotes 5)
  • Easy to use word vectors
  • All strings mapped to integer IDs
  • Export to numpy data arrays
  • Alignment maintained to original string, ensuring easy mark up calculation
  • Range of easy-to-use orthographic features.
  • No pre-processing required. spaCy takes raw text as input, warts and newlines and all.

Top Peformance

  • Fastest in the world: <50ms per document. No faster system has ever been announced.
  • Accuracy within 1% of the current state of the art on all tasks performed (parsing, named entity recognition, part-of-speech tagging). The only more accurate systems are an order of magnitude slower or more.

Supports

  • CPython 2.6, 2.7, 3.3, 3.4, 3.5 (only 64 bit)
  • OSX
  • Linux
  • Windows (Cygwin, MinGW, Visual Studio)

Difficult to support:

  • PyPy