mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 10:26:35 +03:00
60 lines
1.6 KiB
Markdown
60 lines
1.6 KiB
Markdown
[](https://travis-ci.org/honnibal/spaCy)
|
|
[](https://ci.appveyor.com/project/honnibal/spacy/branch/master)
|
|
|
|
|
|
spaCy: Industrial-strength NLP
|
|
==============================
|
|
|
|
spaCy is a library for advanced natural language processing in Python and Cython.
|
|
|
|
Documentation and details: http://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 2.7
|
|
* CPython 3.4
|
|
* CPython 3.5
|
|
* OSX
|
|
* Linux
|
|
* Cygwin
|
|
|
|
Want to support:
|
|
|
|
* Visual Studio
|
|
|
|
Difficult to support:
|
|
|
|
* PyPy 2.7
|
|
* PyPy 3.4
|
|
|
|
|
|
|