https://github.com/camel-lab/camel_tools

A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

https://github.com/camel-lab/camel_tools

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A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

README.rst

CAMeL Tools
===========


.. image:: https://img.shields.io/pypi/v/camel-tools.svg
   :target: https://pypi.org/project/camel-tools
   :alt: PyPI Version

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   :target: https://pypi.org/project/camel-tools
   :alt: PyPI Python Version

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   :target: https://camel-tools.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status

.. image:: https://img.shields.io/pypi/l/camel-tools.svg
   :target: https://opensource.org/licenses/MIT
   :alt: MIT License

|

.. image:: camel_tools_logo.png
   :target: camel_tools_logo.png
   :alt: CAMeL Tools Logo


Introduction
------------

CAMeL Tools is  suite of Arabic natural language processing tools developed by
the
`CAMeL Lab `_
at `New York University Abu Dhabi `_.

    **Please use** `GitHub Issues `_
    **to report a bug or if you need help using CAMeL Tools.**


Installation
------------

You will need Python 3.8 - 3.12 (64-bit) as well as
`the Rust compiler `_ installed.

Linux/macOS
~~~~~~~~~~~

You will need to install some additional dependencies on Linux and macOS.
Primarily CMake, and Boost.

On Ubuntu/Debian you can install these dependencies by running:

.. code-block:: bash

   sudo apt-get install cmake libboost-all-dev

On macOS you can install them using Homewbrew by running:

.. code-block:: bash

   brew install cmake boost

.. _linux-macos-install-pip:

Install using pip
^^^^^^^^^^^^^^^^^

.. code-block:: bash

   pip install camel-tools

   # or run the following if you already have camel_tools installed
   pip install camel-tools --upgrade

On Apple silicon Macs you may have to run the following instead:

.. code-block:: bash

   CMAKE_OSX_ARCHITECTURES=arm64 pip install camel-tools

   # or run the following if you already have camel_tools installed
   CMAKE_OSX_ARCHITECTURES=arm64 pip install camel-tools --upgrade

.. _linux-macos-install-source:

Install from source
^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   # Clone the repo
   git clone https://github.com/CAMeL-Lab/camel_tools.git
   cd camel_tools

   # Install from source
   pip install .

   # or run the following if you already have camel_tools installed
   pip install --upgrade .

.. _linux-macos-install-data:

Installing data
^^^^^^^^^^^^^^^

To install the datasets required by CAMeL Tools components run one of the
following:

.. code-block:: bash

   # To install all datasets
   camel_data -i all

   # or just the datasets for morphology and MLE disambiguation only
   camel_data -i light

   # or just the default datasets for each component
   camel_data -i defaults

See `Available Packages `_
for a list of all available datasets.

By default, data is stored in ``~/.camel_tools``.
Alternatively, if you would like to install the data in a different location,
you need to set the :code:`CAMELTOOLS_DATA` environment variable to the desired
path.

Add the following to your :code:`.bashrc`, :code:`.zshrc`, :code:`.profile`,
etc:

.. code-block:: bash

   export CAMELTOOLS_DATA=/path/to/camel_tools_data

Windows
~~~~~~~

**Note:** CAMeL Tools has been tested on Windows 10. The Dialect Identification
component is not available on Windows at this time.

.. _windows-install-pip:

Install using pip
^^^^^^^^^^^^^^^^^

.. code-block:: bash

   pip install camel-tools -f https://download.pytorch.org/whl/torch_stable.html

   # or run the following if you already have camel_tools installed
   pip install --upgrade -f https://download.pytorch.org/whl/torch_stable.html camel-tools

.. _windows-install-source:

Install from source
^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   # Clone the repo
   git clone https://github.com/CAMeL-Lab/camel_tools.git
   cd camel_tools

   # Install from source
   pip install -f https://download.pytorch.org/whl/torch_stable.html .
   pip install --upgrade -f https://download.pytorch.org/whl/torch_stable.html .

.. _windows-install-data:

Installing data
^^^^^^^^^^^^^^^

To install the data packages required by CAMeL Tools components, run one of the
following commands:

.. code-block:: bash

   # To install all datasets
   camel_data -i all

   # or just the datasets for morphology and MLE disambiguation only
   camel_data -i light

   # or just the default datasets for each component
   camel_data -i defaults

See `Available Packages `_
for a list of all available datasets.

By default, data is stored in
``C:\Users\your_user_name\AppData\Roaming\camel_tools``.
Alternatively, if you would like to install the data in a different location,
you need to set the ``CAMELTOOLS_DATA`` environment variable to the desired
path. Below are the instructions to do so (on Windows 10):

* Press the **Windows** button and type ``env``.
* Click on **Edit the system environment variables (Control panel)**.
* Click on the **Environment Variables...** button.
* Click on the **New...** button under the **User variables** panel.
* Type ``CAMELTOOLS_DATA`` in the **Variable name** input box and the
  desired data path in **Variable value**. Alternatively, you can browse for the
  data directory by clicking on the **Browse Directory...** button.
* Click **OK** on all the opened windows.


Documentation
-------------

To get started, you can follow along
`the Guided Tour `_
for a quick overview of the components provided by CAMeL Tools.

You can find the
`full online documentation here `_ for both
the command-line tools and the Python API.

Alternatively, you can build your own local copy of the documentation as
follows:

.. code-block:: bash

   # Install dependencies
   pip install sphinx myst-parser sphinx-rtd-theme

   # Go to docs subdirectory
   cd docs

   # Build HTML docs
   make html

This should compile all the HTML documentation in to ``docs/build/html``.


Citation
--------

If you find CAMeL Tools useful in your research, please cite
`our paper `_:

.. code-block:: bibtex

   @inproceedings{obeid-etal-2020-camel,
      title = "{CAM}e{L} Tools: An Open Source Python Toolkit for {A}rabic Natural Language Processing",
      author = "Obeid, Ossama  and
         Zalmout, Nasser  and
         Khalifa, Salam  and
         Taji, Dima  and
         Oudah, Mai  and
         Alhafni, Bashar  and
         Inoue, Go  and
         Eryani, Fadhl  and
         Erdmann, Alexander  and
         Habash, Nizar",
      booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
      month = may,
      year = "2020",
      address = "Marseille, France",
      publisher = "European Language Resources Association",
      url = "https://www.aclweb.org/anthology/2020.lrec-1.868",
      pages = "7022--7032",
      abstract = "We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python. CAMeL Tools currently provides utilities for pre-processing, morphological modeling, Dialect Identification, Named Entity Recognition and Sentiment Analysis. In this paper, we describe the design of CAMeL Tools and the functionalities it provides.",
      language = "English",
      ISBN = "979-10-95546-34-4",
   }


License
-------

CAMeL Tools is available under the MIT license.
See the `LICENSE file
`_
for more info.


Contribute
----------

If you would like to contribute to CAMeL Tools, please read the
`CONTRIBUTE.rst
`_
file.


Contributors
------------

* `Ossama Obeid `_
* `Go Inoue `_
* `Bashar Alhafni `_
* `Salam Khalifa `_
* `Dima Taji `_
* `Nasser Zalmout `_
* `Nizar Habash `_

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