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README.md
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README.md
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## Features
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- Non-destructive **tokenization**
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- **Named entity** recognition
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- Support for **50+ languages**
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- pretrained [statistical models](https://spacy.io/models) and word vectors
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- State-of-the-art speed
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- Easy **deep learning** integration
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- Part-of-speech tagging
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- Labelled dependency parsing
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- Syntax-driven sentence segmentation
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- Built in **visualizers** for syntax and NER
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- Convenient string-to-hash mapping
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- Export to numpy data arrays
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- Efficient binary serialization
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- Easy **model packaging** and deployment
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- Robust, rigorously evaluated accuracy
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- Non-destructive **tokenization**
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- **Named entity** recognition
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- Support for **50+ languages**
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- pretrained [statistical models](https://spacy.io/models) and word vectors
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- State-of-the-art speed
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- Easy **deep learning** integration
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- Part-of-speech tagging
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- Labelled dependency parsing
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- Syntax-driven sentence segmentation
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- Built in **visualizers** for syntax and NER
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- Convenient string-to-hash mapping
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- Export to numpy data arrays
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- Efficient binary serialization
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- Easy **model packaging** and deployment
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- Robust, rigorously evaluated accuracy
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📖 **For more details, see the
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[facts, figures and benchmarks](https://spacy.io/usage/facts-figures).**
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For detailed installation instructions, see the
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[documentation](https://spacy.io/usage).
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- **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual
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Studio)
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- **Python version**: Python 2.7, 3.5+ (only 64 bit)
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- **Package managers**: [pip] · [conda] (via `conda-forge`)
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- **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual
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Studio)
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- **Python version**: Python 2.7, 3.5+ (only 64 bit)
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- **Package managers**: [pip] · [conda] (via `conda-forge`)
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[pip]: https://pypi.org/project/spacy/
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[conda]: https://anaconda.org/conda-forge/spacy
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