semvec/pypi-packages huggingface dataset:
SinaTools 1.0.8
Open-source Python toolkit for Arabic Natural Understanding, allowing people to integrate it in their system workflow.
License: MIT license
Keywords: sinatools

SinaTools
======================
Open Source Toolkit for Arabic NLP and NLU developed by [SinaLab](http://sina.birzeit.edu/) at Birzeit University. SinaTools is available through Python APIs, command lines, colabs, and online demos.

See the full list of [Available Packages](https://sina.birzeit.edu/sinatools/), which include: (1) [Morphology Tagging](https://sina.birzeit.edu/sinatools/index.html#morph), (2) [Named Entity Recognition (NER)](https://sina.birzeit.edu/sinatools/index.html#ner), (3) [Word Sense Disambiguation (WSD)](https://sina.birzeit.edu/sinatools/index.html#wsd), (4) [Semantic Relatedness](https://sina.birzeit.edu/sinatools/index.html#sr), (5) [Synonymy Extraction and Evaluation](https://sina.birzeit.edu/sinatools/index.html#se), (6) [Relation Extraction](https://sina.birzeit.edu/sinatools/index.html#re), (7) [Utilities](https://sina.birzeit.edu/sinatools/index.html#u) (diacritic-based word matching, Jaccard similarly, parser, tokenizers, corpora processing, transliteration, etc).

See [Demo Pages](https://sina.birzeit.edu/sinatools/).

See the [benchmarking](https://www.jarrar.info/publications/HJK24.pdf), which shows that SinaTools outperformed all related toolkits. 

Installation 
--------
To install SinaTools, ensure you are using Python version 3.10.8, then clone the [GitHub](git://github.com/SinaLab/SinaTools) repository.

Alternatively, you can execute the following command:

```bash
pip install sinatools
```

Installing Models and Data Files
--------
Some modules in SinaTools require some data files and fine-tuned models to be downloaded. To download these models, please consult the [DataDownload](https://sina.birzeit.edu/sinatools/documentation/cli_tools/DataDownload/DataDownload.html).

Documentation
--------
For information, please refer to the [main page](https://sina.birzeit.edu/sinatools) or the [online domuementation](https://sina.birzeit.edu/sinatools/documentation). 

Citation
-------
Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia: [SinaTools: Open Source Toolkit for Arabic Natural Language Understanding](http://www.jarrar.info/publications/HJK24.pdf). In Proceedings of the 2024 AI in Computational Linguistics (ACLing 2024), Procedia Computer Science, Dubai. ELSEVIER.

License
--------
SinaTools is available under the MIT License. See the [LICENSE](https://github.com/SinaLab/sinatools/blob/main/LICENSE) file for more information.

Reporting Issues
--------
To report any issues or bugs, please contact us at "sina.institute.bzu@gmail.com" or visit [SinaTools Issues](https://github.com/SinaLab/sinatools/issues).