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💫 Industrial-strength Natural Language Processing (NLP) in Python
aiartificial-intelligencecythondata-sciencedeep-learningentity-linkingmachine-learningnamed-entity-recognitionnatural-language-processingneural-networkneural-networksnlpnlp-librarypythonspacystarred-explosion-repostarred-repotext-classificationtokenization
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| contributors | ||
| docs | ||
| lang_data/en | ||
| spacy | ||
| tests | ||
| .gitignore | ||
| .travis.yml | ||
| bootstrap_python_env.sh | ||
| dev_setup.py | ||
| fabfile.py | ||
| LICENSE.txt | ||
| MANIFEST.in | ||
| README.md | ||
| requirements.txt | ||
| setup.py | ||
| wordnet_license.txt | ||
spaCy
http://honnibal.github.io/spaCy
A pipeline for fast, state-of-the-art natural language processing. Commercial licenses available, otherwise under AGPL.
Version 0.80 released
2015-04-13
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Preliminary support for named-entity recognition. Its accuracy is substantially behind the state-of-the-art. I'm working on improvements.
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Better sentence boundary detection, drawn from the syntactic structure.
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Lots of bug fixes.
Supports:
- CPython 2.7
- CPython 3.4
- OSX
- Linux
- Cygwin
Want to support:
- Visual Studio
Difficult to support:
- PyPy 2.7
- PyPy 3.4