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توضیحات

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

ویژگی	مقدار
سیستم عامل	OS Independent
نام فایل	camel-tools-1.4.1
نام	camel-tools
نسخه کتابخانه	1.4.1
نگهدارنده	['Ossama W. Obeid']
ایمیل نگهدارنده	['oobeid@nyu.edu']
نویسنده	Ossama W. Obeid
ایمیل نویسنده	oobeid@nyu.edu
آدرس صفحه اصلی	https://github.com/CAMeL-Lab/CAMeL_Tools
آدرس اینترنتی	https://pypi.org/project/camel-tools/
مجوز	MIT

CAMeL Tools =========== .. image:: https://img.shields.io/pypi/v/camel-tools.svg :target: https://pypi.org/project/camel-tools :alt: PyPI Version .. image:: https://img.shields.io/pypi/pyversions/camel-tools.svg :target: https://pypi.org/project/camel-tools :alt: PyPI Python Version .. image:: https://readthedocs.org/projects/camel-tools/badge/?version=latest :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 <http://camel-lab.com>`_ at `New York University Abu Dhabi <http://nyuad.nyu.edu/>`_. **Please use** `GitHub Issues <https://github.com/CAMeL-Lab/camel_tools/issues>`_ **to report a bug or if you need help using CAMeL Tools.** Installation ------------ You will need Python 3.7 and above (64-bit) as well as `the Rust compiler <https://www.rust-lang.org/learn/get-started>`_ installed. Linux/macOS ~~~~~~~~~~~ .. _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 .. _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 <https://camel-tools.readthedocs.io/en/latest/reference/packages.html>`_ 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 <https://camel-tools.readthedocs.io/en/latest/reference/packages.html>`_ 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 <https://colab.research.google.com/drive/1Y3qCbD6Gw1KEw-lixQx1rI6WlyWnrnDS?usp=sharing>`_ for a quick overview of the components provided by CAMeL Tools. You can find the `full online documentation here <https://camel-tools.readthedocs.io/en/stable/>`_ 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 recommonmark 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 <https://www.aclweb.org/anthology/2020.lrec-1.868/>`_: .. 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 <https://github.com/CAMeL-Lab/camel_tools/blob/master/LICENSE>`_ for more info. Contribute ---------- If you would like to contribute to CAMeL Tools, please read the `CONTRIBUTE.rst <https://github.com/CAMeL-Lab/camel_tools/blob/master/CONTRIBUTING.rst>`_ file. Contributors ------------ * `Ossama Obeid <https://github.com/owo>`_ * `Go Inoue <https://github.com/go-inoue>`_ * `Bashar Alhafni <https://github.com/balhafni>`_ * `Salam Khalifa <https://github.com/slkh>`_ * `Dima Taji <https://github.com/dima-taji>`_ * `Nasser Zalmout <https://github.com/nzal>`_ * `Nizar Habash <https://github.com/nizarhabash1>`_

نیازمندی

مقدار	نام
-	future
-	six
-	docopt
-	cachetools
-	numpy
-	scipy
-	pandas
-	scikit-learn
-	dill
>=1.3	torch
>=3.0.2	transformers
-	editdistance
-	requests
-	emoji
-	pyrsistent
-	tabulate
-	tqdm
-	camel-kenlm

زبان مورد نیاز

مقدار	نام
>=3.7.0, <3.10.*	Python

نحوه نصب

نصب پکیج whl camel-tools-1.4.1:

pip install camel-tools-1.4.1.whl

نصب پکیج tar.gz camel-tools-1.4.1:

pip install camel-tools-1.4.1.tar.gz