mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 10:26:35 +03:00
293 lines
12 KiB
Markdown
293 lines
12 KiB
Markdown
<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a>
|
|
|
|
# spaCy: Industrial-strength NLP
|
|
|
|
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
|
|
be used in real products. spaCy comes with
|
|
[pretrained statistical models](https://spacy.io/models) and word vectors, and
|
|
currently supports tokenization for **60+ languages**. It features
|
|
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 2.3 out now!**
|
|
[Check out the release notes here.](https://github.com/explosion/spaCy/releases)
|
|
|
|
[>)](https://dev.azure.com/explosion-ai/public/_build?definitionId=8)
|
|
[](https://github.com/explosion/spaCy/releases)
|
|
[](https://pypi.org/project/spacy/)
|
|
[](https://anaconda.org/conda-forge/spacy)
|
|
[](https://github.com/explosion/wheelwright/releases)
|
|
[](https://pypi.org/project/spacy/)
|
|
[](https://anaconda.org/conda-forge/spacy)
|
|
[](https://github.com/explosion/spacy-models/releases)
|
|
[](https://github.com/ambv/black)
|
|
[](https://twitter.com/spacy_io)
|
|
|
|
## 📖 Documentation
|
|
|
|
| Documentation | |
|
|
| --------------- | -------------------------------------------------------------- |
|
|
| [spaCy 101] | New to spaCy? Here's everything you need to know! |
|
|
| [Usage Guides] | How to use spaCy and its features. |
|
|
| [New in v2.3] | 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. |
|
|
| [Changelog] | Changes and version history. |
|
|
| [Contribute] | How to contribute to the spaCy project and code base. |
|
|
|
|
[spacy 101]: https://spacy.io/usage/spacy-101
|
|
[new in v2.3]: https://spacy.io/usage/v2-3
|
|
[usage guides]: https://spacy.io/usage/
|
|
[api reference]: https://spacy.io/api/
|
|
[models]: https://spacy.io/models
|
|
[universe]: https://spacy.io/universe
|
|
[changelog]: https://spacy.io/usage#changelog
|
|
[contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md
|
|
|
|
## 💬 Where to ask questions
|
|
|
|
The spaCy project is maintained by [@honnibal](https://github.com/honnibal) and
|
|
[@ines](https://github.com/ines), along with core contributors
|
|
[@svlandeg](https://github.com/svlandeg) and
|
|
[@adrianeboyd](https://github.com/adrianeboyd). Please understand that we won't
|
|
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
|
|
it.
|
|
|
|
| Type | Platforms |
|
|
| ------------------------ | ------------------------------------------------------ |
|
|
| 🚨 **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
|
|
[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
|
|
|
|
- Non-destructive **tokenization**
|
|
- **Named entity** recognition
|
|
- Support for **50+ languages**
|
|
- pretrained [statistical models](https://spacy.io/models) and word vectors
|
|
- State-of-the-art speed
|
|
- Easy **deep learning** integration
|
|
- Part-of-speech tagging
|
|
- Labelled dependency parsing
|
|
- Syntax-driven sentence segmentation
|
|
- Built in **visualizers** for syntax and NER
|
|
- Convenient string-to-hash mapping
|
|
- Export to numpy data arrays
|
|
- Efficient binary serialization
|
|
- Easy **model packaging** and deployment
|
|
- Robust, rigorously evaluated accuracy
|
|
|
|
📖 **For more details, see the
|
|
[facts, figures and benchmarks](https://spacy.io/usage/facts-figures).**
|
|
|
|
## Install spaCy
|
|
|
|
For detailed installation instructions, see the
|
|
[documentation](https://spacy.io/usage).
|
|
|
|
- **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual
|
|
Studio)
|
|
- **Python version**: Python 3.6+ (only 64 bit)
|
|
- **Package managers**: [pip] · [conda] (via `conda-forge`)
|
|
|
|
[pip]: https://pypi.org/project/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
|
|
|
|
Using pip, spaCy releases are available as source packages and binary wheels (as
|
|
of `v2.0.13`).
|
|
|
|
```bash
|
|
pip install spacy
|
|
```
|
|
|
|
To install additional data tables for lemmatization and normalization 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 for v2.2+ plus normalization data for v2.3+, 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:
|
|
|
|
```bash
|
|
python -m venv .env
|
|
source .env/bin/activate
|
|
pip install spacy
|
|
```
|
|
|
|
### conda
|
|
|
|
Thanks to our great community, we've finally re-added conda support. You can now
|
|
install spaCy via `conda-forge`:
|
|
|
|
```bash
|
|
conda install -c conda-forge spacy
|
|
```
|
|
|
|
For the feedstock including the build recipe and configuration, check out
|
|
[this repository](https://github.com/conda-forge/spacy-feedstock). Improvements
|
|
and pull requests to the recipe and setup are always appreciated.
|
|
|
|
### Updating spaCy
|
|
|
|
Some updates to spaCy may require downloading new statistical models. If you're
|
|
running spaCy v2.0 or higher, you can use the `validate` command to check if
|
|
your installed models are compatible and if not, print details on how to update
|
|
them:
|
|
|
|
```bash
|
|
pip install -U spacy
|
|
python -m spacy validate
|
|
```
|
|
|
|
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**
|
|
with the new version.
|
|
|
|
📖 **For details on upgrading from spaCy 1.x to spaCy 2.x, see the
|
|
[migration guide](https://spacy.io/usage/v2#migrating).**
|
|
|
|
## Download models
|
|
|
|
As of v1.7.0, models for spaCy can be installed as **Python packages**. This
|
|
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
|
|
pointing pip to a path or URL.
|
|
|
|
| Documentation | |
|
|
| ---------------------- | ------------------------------------------------------------- |
|
|
| [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. |
|
|
| [Models Documentation] | Detailed usage instructions. |
|
|
|
|
[available models]: https://spacy.io/models
|
|
[models documentation]: https://spacy.io/docs/usage/models
|
|
|
|
```bash
|
|
# download best-matching version of specific model for your spaCy installation
|
|
python -m spacy download en_core_web_sm
|
|
|
|
# pip install .tar.gz archive from path or URL
|
|
pip install /Users/you/en_core_web_sm-2.2.0.tar.gz
|
|
pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.0/en_core_web_sm-2.2.0.tar.gz
|
|
```
|
|
|
|
### Loading and using models
|
|
|
|
To load a model, use `spacy.load()` with the model name or a
|
|
path to the model data directory.
|
|
|
|
```python
|
|
import spacy
|
|
nlp = spacy.load("en_core_web_sm")
|
|
doc = nlp("This is a sentence.")
|
|
```
|
|
|
|
You can also `import` a model directly via its full name and then call its
|
|
`load()` method with no arguments.
|
|
|
|
```python
|
|
import spacy
|
|
import en_core_web_sm
|
|
|
|
nlp = en_core_web_sm.load()
|
|
doc = nlp("This is a sentence.")
|
|
```
|
|
|
|
📖 **For more info and examples, check out the
|
|
[models documentation](https://spacy.io/docs/usage/models).**
|
|
|
|
## Compile from source
|
|
|
|
The other way to install spaCy is to clone its
|
|
[GitHub repository](https://github.com/explosion/spaCy) and build it from
|
|
source. That is the common way if you want to make changes to the code base.
|
|
You'll need to make sure that you have a development environment consisting of a
|
|
Python distribution including header files, a compiler,
|
|
[pip](https://pip.pypa.io/en/latest/installing/),
|
|
[virtualenv](https://virtualenv.pypa.io/en/latest/) and
|
|
[git](https://git-scm.com) installed. The compiler part is the trickiest. How to
|
|
do that depends on your system. See notes on Ubuntu, OS X and Windows for
|
|
details.
|
|
|
|
```bash
|
|
# make sure you are using the latest pip
|
|
python -m pip install -U pip
|
|
git clone https://github.com/explosion/spaCy
|
|
cd spaCy
|
|
|
|
python -m venv .env
|
|
source .env/bin/activate
|
|
export PYTHONPATH=`pwd`
|
|
pip install -r requirements.txt
|
|
python setup.py build_ext --inplace
|
|
```
|
|
|
|
Compared to regular install via pip, [requirements.txt](requirements.txt)
|
|
additionally installs developer dependencies such as Cython. For more details
|
|
and instructions, see the documentation on
|
|
[compiling spaCy from source](https://spacy.io/usage#source) and the
|
|
[quickstart widget](https://spacy.io/usage#section-quickstart) to get the right
|
|
commands for your platform and Python version.
|
|
|
|
### Ubuntu
|
|
|
|
Install system-level dependencies via `apt-get`:
|
|
|
|
```bash
|
|
sudo apt-get install build-essential python-dev git
|
|
```
|
|
|
|
### macOS / OS X
|
|
|
|
Install a recent version of [XCode](https://developer.apple.com/xcode/),
|
|
including the so-called "Command Line Tools". macOS and OS X ship with Python
|
|
and git preinstalled.
|
|
|
|
### Windows
|
|
|
|
Install a version of the
|
|
[Visual C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
|
|
or [Visual Studio Express](https://visualstudio.microsoft.com/vs/express/) that
|
|
matches the version that was used to compile your Python interpreter.
|
|
|
|
## Run tests
|
|
|
|
spaCy comes with an [extensive test suite](spacy/tests). In order to run the
|
|
tests, you'll usually want to clone the repository and build spaCy from source.
|
|
This will also install the required development dependencies and test utilities
|
|
defined in the `requirements.txt`.
|
|
|
|
Alternatively, you can find out where spaCy is installed and run `pytest` on
|
|
that directory. Don't forget to also install the test utilities via spaCy's
|
|
`requirements.txt`:
|
|
|
|
```bash
|
|
python -c "import os; import spacy; print(os.path.dirname(spacy.__file__))"
|
|
pip install -r path/to/requirements.txt
|
|
python -m pytest <spacy-directory>
|
|
```
|
|
|
|
See [the documentation](https://spacy.io/usage#tests) for more details and
|
|
examples.
|