Name | SinaTools JSON |
Version |
0.1.37
JSON |
| download |
home_page | https://github.com/SinaLab/sinatools |
Summary | Open-source Python toolkit for Arabic Natural Understanding, allowing people to integrate it in their system workflow. |
upload_time | 2024-11-24 09:23:17 |
maintainer | None |
docs_url | None |
author | None |
requires_python | None |
license | MIT license |
keywords |
sinatools
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
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No Travis.
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coveralls test coverage |
No coveralls.
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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).
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