spaCy:Industrial-strength Natural Language Processing (NLP) with Python and Cython_industrial-strength natural language processing wi-优快云博客

spaCy is a library for advanced natural language processing in Python andCython. 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 commercialopen-source software, released under the MIT license.

Features

Non-destructive tokenization
Syntax-driven sentence segmentation
Pre-trained word vectors
Part-of-speech tagging
Named entity recognition
Labelled dependency parsing
Convenient string-to-int mapping
Export to numpy data arrays
GIL-free multi-threading
Efficient binary serialization
Easy deep learning integration
Statistical models forEnglish and German
State-of-the-art speed
Robust, rigorously evaluated accuracy

See facts, figures and benchmarks.

Top Peformance

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