Update README.md [ci skip]

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Ines Montani 2019-10-02 16:47:10 +02:00
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@ -11,16 +11,18 @@ state-of-the-art speed, convolutional **neural network models** for tagging,
parsing and **named entity recognition** and easy **deep learning** integration.
It's commercial open-source software, released under the MIT license.
💫 **Version 2.1 out now!** [Check out the release notes here.](https://github.com/explosion/spaCy/releases)
💫 **Version 2.2 out now!**
[Check out the release notes here.](https://github.com/explosion/spaCy/releases)
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@ -30,7 +32,7 @@ It's commercial open-source software, released under the MIT license.
| --------------- | -------------------------------------------------------------- |
| [spaCy 101] | New to spaCy? Here's everything you need to know! |
| [Usage Guides] | How to use spaCy and its features. |
| [New in v2.1] | New features, backwards incompatibilities and migration guide. |
| [New in v2.2] | New features, backwards incompatibilities and migration guide. |
| [API Reference] | The detailed reference for spaCy's API. |
| [Models] | Download statistical language models for spaCy. |
| [Universe] | Libraries, extensions, demos, books and courses. |
@ -38,7 +40,7 @@ It's commercial open-source software, released under the MIT license.
| [Contribute] | How to contribute to the spaCy project and code base. |
[spacy 101]: https://spacy.io/usage/spacy-101
[new in v2.1]: https://spacy.io/usage/v2-1
[new in v2.2]: https://spacy.io/usage/v2-2
[usage guides]: https://spacy.io/usage/
[api reference]: https://spacy.io/api/
[models]: https://spacy.io/models
@ -111,6 +113,13 @@ of `v2.0.13`).
pip install spacy
```
To install additional data tables for lemmatization in **spaCy v2.2+** you can
run `pip install spacy[lookups]` or install
[`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data)
separately. The lookups package is needed to create blank models with
lemmatization data, and to lemmatize in languages that don't yet come with
pretrained models and aren't powered by third-party libraries.
When using pip it is generally recommended to install packages in a virtual
environment to avoid modifying system state: