Update and auto-format README [ci skip]

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Ines Montani 2019-02-24 13:12:13 +01:00
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@ -6,7 +6,7 @@ spaCy is a library for advanced Natural Language Processing in Python and
Cython. It's built on the very latest research, and was designed from day one Cython. It's built on the very latest research, and was designed from day one
to be used in real products. spaCy comes with to be used in real products. spaCy comes with
[pre-trained statistical models](https://spacy.io/models) and word vectors, and [pre-trained statistical models](https://spacy.io/models) and word vectors, and
currently supports tokenization for **30+ languages**. It features the currently supports tokenization for **45+ languages**. It features the
**fastest syntactic parser** in the world, convolutional **fastest syntactic parser** in the world, convolutional
**neural network models** for tagging, parsing and **named entity recognition** **neural network models** for tagging, parsing and **named entity recognition**
and easy **deep learning** integration. It's commercial open-source software, and easy **deep learning** integration. It's commercial open-source software,
@ -20,29 +20,30 @@ released under the MIT license.
[![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square)](https://pypi.python.org/pypi/spacy) [![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square)](https://pypi.python.org/pypi/spacy)
[![conda Version](https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square)](https://anaconda.org/conda-forge/spacy) [![conda Version](https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square)](https://anaconda.org/conda-forge/spacy)
[![Python wheels](https://img.shields.io/badge/wheels-%E2%9C%93-4c1.svg?longCache=true&style=flat-square&logo=python&logoColor=white)](https://github.com/explosion/wheelwright/releases) [![Python wheels](https://img.shields.io/badge/wheels-%E2%9C%93-4c1.svg?longCache=true&style=flat-square&logo=python&logoColor=white)](https://github.com/explosion/wheelwright/releases)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/ambv/black)
[![spaCy on Twitter](https://img.shields.io/twitter/follow/spacy_io.svg?style=social&label=Follow)](https://twitter.com/spacy_io) [![spaCy on Twitter](https://img.shields.io/twitter/follow/spacy_io.svg?style=social&label=Follow)](https://twitter.com/spacy_io)
## 📖 Documentation ## 📖 Documentation
| Documentation | | | Documentation | |
| --- | --- | | --------------- | -------------------------------------------------------------- |
| [spaCy 101] | New to spaCy? Here's everything you need to know! | [spaCy 101] | New to spaCy? Here's everything you need to know! |
| [Usage Guides] | How to use spaCy and its features. | | [Usage Guides] | How to use spaCy and its features. |
| [New in v2.0] | New features, backwards incompatibilities and migration guide. | | [New in v2.1] | New features, backwards incompatibilities and migration guide. |
| [API Reference] | The detailed reference for spaCy's API. | | [API Reference] | The detailed reference for spaCy's API. |
| [Models] | Download statistical language models for spaCy. | | [Models] | Download statistical language models for spaCy. |
| [Universe] | Libraries, extensions, demos, books and courses. | | [Universe] | Libraries, extensions, demos, books and courses. |
| [Changelog] | Changes and version history. | | [Changelog] | Changes and version history. |
| [Contribute] | How to contribute to the spaCy project and code base. | | [Contribute] | How to contribute to the spaCy project and code base. |
[spaCy 101]: https://spacy.io/usage/spacy-101 [spacy 101]: https://spacy.io/usage/spacy-101
[New in v2.0]: https://spacy.io/usage/v2#migrating [new in v2.1]: https://spacy.io/usage/v2-1
[Usage Guides]: https://spacy.io/usage/ [usage guides]: https://spacy.io/usage/
[API Reference]: https://spacy.io/api/ [api reference]: https://spacy.io/api/
[Models]: https://spacy.io/models [models]: https://spacy.io/models
[Universe]: https://spacy.io/universe [universe]: https://spacy.io/universe
[Changelog]: https://spacy.io/usage/#changelog [changelog]: https://spacy.io/usage/#changelog
[Contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md [contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md
## 💬 Where to ask questions ## 💬 Where to ask questions
@ -51,33 +52,36 @@ and [@ines](https://github.com/ines). Please understand that we won't be able
to provide individual support via email. We also believe that help is much more to provide individual support via email. We also believe that help is much more
valuable if it's shared publicly, so that more people can benefit from it. valuable if it's shared publicly, so that more people can benefit from it.
* **Bug Reports**: [GitHub Issue Tracker] | Type | Platforms |
* **Usage Questions**: [Stack Overflow] · [Gitter Chat] · [Reddit User Group] | ------------------------ | ------------------------------------------------------ |
* **General Discussion**: [Gitter Chat] · [Reddit User Group] | 🚨**Bug Reports** | [GitHub Issue Tracker] |
| 🎁 **Feature Requests** | [GitHub Issue Tracker] |
| 👩‍💻**Usage Questions** | [Stack Overflow] · [Gitter Chat] · [Reddit User Group] |
| 🗯 **General Discussion** | [Gitter Chat] · [Reddit User Group] |
[GitHub Issue Tracker]: https://github.com/explosion/spaCy/issues [github issue tracker]: https://github.com/explosion/spaCy/issues
[Stack Overflow]: http://stackoverflow.com/questions/tagged/spacy [stack overflow]: http://stackoverflow.com/questions/tagged/spacy
[Gitter Chat]: https://gitter.im/explosion/spaCy [gitter chat]: https://gitter.im/explosion/spaCy
[Reddit User Group]: https://www.reddit.com/r/spacynlp [reddit user group]: https://www.reddit.com/r/spacynlp
## Features ## Features
* **Fastest syntactic parser** in the world - **Fastest syntactic parser** in the world
* **Named entity** recognition - **Named entity** recognition
* Non-destructive **tokenization** - Non-destructive **tokenization**
* Support for **30+ languages** - Support for **45+ languages**
* Pre-trained [statistical models](https://spacy.io/models) and word vectors - Pre-trained [statistical models](https://spacy.io/models) and word vectors
* Easy **deep learning** integration - Easy **deep learning** integration
* Part-of-speech tagging - Part-of-speech tagging
* Labelled dependency parsing - Labelled dependency parsing
* Syntax-driven sentence segmentation - Syntax-driven sentence segmentation
* Built in **visualizers** for syntax and NER - Built in **visualizers** for syntax and NER
* Convenient string-to-hash mapping - Convenient string-to-hash mapping
* Export to numpy data arrays - Export to numpy data arrays
* Efficient binary serialization - Efficient binary serialization
* Easy **model packaging** and deployment - Easy **model packaging** and deployment
* State-of-the-art speed - State-of-the-art speed
* Robust, rigorously evaluated accuracy - Robust, rigorously evaluated accuracy
📖 **For more details, see the 📖 **For more details, see the
[facts, figures and benchmarks](https://spacy.io/usage/facts-figures).** [facts, figures and benchmarks](https://spacy.io/usage/facts-figures).**
@ -87,9 +91,9 @@ valuable if it's shared publicly, so that more people can benefit from it.
For detailed installation instructions, see the For detailed installation instructions, see the
[documentation](https://spacy.io/usage). [documentation](https://spacy.io/usage).
* **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual Studio) - **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual Studio)
* **Python version**: Python 2.7, 3.4+ (only 64 bit) - **Python version**: Python 2.7, 3.4+ (only 64 bit)
* **Package managers**: [pip] · [conda] (via `conda-forge`) - **Package managers**: [pip] · [conda] (via `conda-forge`)
[pip]: https://pypi.python.org/pypi/spacy [pip]: https://pypi.python.org/pypi/spacy
[conda]: https://anaconda.org/conda-forge/spacy [conda]: https://anaconda.org/conda-forge/spacy
@ -153,12 +157,12 @@ other module. Models can be installed using spaCy's `download` command,
or manually by pointing pip to a path or URL. or manually by pointing pip to a path or URL.
| Documentation | | | Documentation | |
| --- | --- | | ---------------------- | ------------------------------------------------------------- |
| [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. | | [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. |
| [Models Documentation] | Detailed usage instructions. | | [Models Documentation] | Detailed usage instructions. |
[Available Models]: https://spacy.io/models [available models]: https://spacy.io/models
[Models Documentation]: https://spacy.io/docs/usage/models [models documentation]: https://spacy.io/docs/usage/models
```bash ```bash
# out-of-the-box: download best-matching default model # out-of-the-box: download best-matching default model