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spaCy is a library for advanced Natural Language Processing in Python and 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 to Cython. It's built on the very latest research, and was designed from day one to
be used in real products. spaCy comes with be used in real products.
[pretrained statistical models](https://spacy.io/models) and word vectors, and
currently supports tokenization for **60+ languages**. It features spaCy comes with
[pretrained pipelines](https://spacy.io/models) and vectors, and
currently supports tokenization for **59+ languages**. It features
state-of-the-art speed, convolutional **neural network models** for tagging, state-of-the-art speed, convolutional **neural network models** for tagging,
parsing and **named entity recognition** and easy **deep learning** integration. parsing, **named entity recognition**, **text classification** and more, multi-task learning with pretrained **transformers** like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management.
It's commercial open-source software, released under the MIT license. spaCy is commercial open-source software, released under the MIT license.
💫 **Version 2.3 out now!** 💫 **Version 2.3 out now!**
[Check out the release notes here.](https://github.com/explosion/spaCy/releases) [Check out the release notes here.](https://github.com/explosion/spaCy/releases)
[![Azure Pipelines](<https://img.shields.io/azure-devops/build/explosion-ai/public/8/master.svg?logo=azure-pipelines&style=flat-square&label=build+(3.x)>)](https://dev.azure.com/explosion-ai/public/_build?definitionId=8) [![Azure Pipelines](https://img.shields.io/azure-devops/build/explosion-ai/public/8/master.svg?logo=azure-pipelines&style=flat-square&label=build)](https://dev.azure.com/explosion-ai/public/_build?definitionId=8)
[![Current Release Version](https://img.shields.io/github/release/explosion/spacy.svg?style=flat-square&logo=github)](https://github.com/explosion/spaCy/releases) [![Current Release Version](https://img.shields.io/github/release/explosion/spacy.svg?style=flat-square&logo=github)](https://github.com/explosion/spaCy/releases)
[![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/spacy/) [![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/spacy/)
[![conda Version](https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square&logo=conda-forge&logoColor=white)](https://anaconda.org/conda-forge/spacy) [![conda Version](https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square&logo=conda-forge&logoColor=white)](https://anaconda.org/conda-forge/spacy)
@ -31,7 +33,7 @@ It's commercial open-source software, released under the MIT license.
| --------------- | -------------------------------------------------------------- | | --------------- | -------------------------------------------------------------- |
| [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 v2.3] | New features, backwards incompatibilities and migration guide. | | [New in v3.0] | 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. |
@ -39,7 +41,7 @@ It's commercial open-source software, released under the MIT license.
| [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 v2.3]: https://spacy.io/usage/v2-3 [new in v3.0]: https://spacy.io/usage/v3
[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
@ -56,34 +58,29 @@ be able 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 much more valuable if it's shared publicly, so that more people can benefit from
it. it.
| Type | Platforms | | Type | Platforms |
| ------------------------ | ------------------------------------------------------ | | ----------------------- | ---------------------- |
| 🚨 **Bug Reports** | [GitHub Issue Tracker] | | 🚨 **Bug Reports** | [GitHub Issue Tracker] |
| 🎁 **Feature Requests** | [GitHub Issue Tracker] | | 🎁 **Feature Requests** | [GitHub Issue Tracker] |
| 👩‍💻 **Usage Questions** | [Stack Overflow] · [Gitter Chat] · [Reddit User Group] | | 👩‍💻 **Usage Questions** | [Stack Overflow] |
| 🗯 **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]: https://stackoverflow.com/questions/tagged/spacy [stack overflow]: https://stackoverflow.com/questions/tagged/spacy
[gitter chat]: https://gitter.im/explosion/spaCy
[reddit user group]: https://www.reddit.com/r/spacynlp
## Features ## Features
- Non-destructive **tokenization** - Support for **59+ languages**
- **Named entity** recognition - **Trained pipelines**
- Support for **50+ languages** - Multi-task learning with pretrained **transformers** like BERT
- pretrained [statistical models](https://spacy.io/models) and word vectors - Pretrained **word vectors**
- State-of-the-art speed - State-of-the-art speed
- Easy **deep learning** integration - Production-ready **training system**
- Part-of-speech tagging - Linguistically-motivated **tokenization**
- Labelled dependency parsing - Components for named **entity recognition**, part-of-speech-tagging, dependency parsing, sentence segmentation, **text classification**, lemmatization, morphological analysis, entity linking and more
- Syntax-driven sentence segmentation - Easily extensible with **custom components** and attributes
- Support for custom models in **PyTorch**, **TensorFlow** and other frameworks
- Built in **visualizers** for syntax and NER - Built in **visualizers** for syntax and NER
- Convenient string-to-hash mapping - Easy **model packaging**, deployment and workflow management
- Export to numpy data arrays
- Efficient binary serialization
- Easy **model packaging** and deployment
- Robust, rigorously evaluated accuracy - Robust, rigorously evaluated accuracy
📖 **For more details, see the 📖 **For more details, see the
@ -102,13 +99,6 @@ For detailed installation instructions, see the
[pip]: https://pypi.org/project/spacy/ [pip]: https://pypi.org/project/spacy/
[conda]: https://anaconda.org/conda-forge/spacy [conda]: https://anaconda.org/conda-forge/spacy
> ⚠️ **Important note for Python 3.8:** We can't yet ship pre-compiled binary
> wheels for spaCy that work on Python 3.8, as we're still waiting for our CI
> providers and other tooling to support it. This means that in order to run
> spaCy on Python 3.8, you'll need [a compiler installed](#source) and compile
> the library and its Cython dependencies locally. If this is causing problems
> for you, the easiest solution is to **use Python 3.7** in the meantime.
### pip ### pip
Using pip, spaCy releases are available as source packages and binary wheels (as Using pip, spaCy releases are available as source packages and binary wheels (as
@ -164,26 +154,26 @@ If you've trained your own models, keep in mind that your training and runtime
inputs must match. After updating spaCy, we recommend **retraining your models** inputs must match. After updating spaCy, we recommend **retraining your models**
with the new version. with the new version.
📖 **For details on upgrading from spaCy 1.x to spaCy 2.x, see the 📖 **For details on upgrading from spaCy 2.x to spaCy 3.x, see the
[migration guide](https://spacy.io/usage/v2#migrating).** [migration guide](https://spacy.io/usage/v3#migrating).**
## Download models ## Download models
As of v1.7.0, models for spaCy can be installed as **Python packages**. This Trained pipelines for spaCy can be installed as **Python packages**. This
means that they're a component of your application, just like any other module. means that they're a component of your application, just like any other module.
Models can be installed using spaCy's `download` command, or manually by Models can be installed using spaCy's `download` command, or manually by
pointing pip to a path or URL. pointing pip to a path or URL.
| Documentation | | | Documentation | |
| ---------------------- | ------------------------------------------------------------- | | ---------------------- | ---------------------------------------------------------------- |
| [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. | | [Available Pipelines] | Detailed pipeline descriptions, accuracy figures and benchmarks. |
| [Models Documentation] | Detailed usage instructions. | | [Models Documentation] | Detailed usage instructions. |
[available models]: https://spacy.io/models [available pipelines]: https://spacy.io/models
[models documentation]: https://spacy.io/docs/usage/models [models documentation]: https://spacy.io/docs/usage/models
```bash ```bash
# download best-matching version of specific model for your spaCy installation # Download best-matching version of specific model for your spaCy installation
python -m spacy download en_core_web_sm python -m spacy download en_core_web_sm
# pip install .tar.gz archive from path or URL # pip install .tar.gz archive from path or URL