Open Source Toolkit for Arabic NLP and NLU developed by SinaLab at Birzeit University. SinaTools is available through Python APIs, command lines, colabs, and online demos.

See the full list of Available Packages, which include: (1) Morphology Tagging, (2) Named Entity Recognition (NER), (3) Word Sense Disambiguation (WSD), (4) Semantic Relatedness, (5) Synonymy Extraction and Evaluation, (6) Relation Extraction, (7) Utilities (diacritic-based word matching, Jaccard similarly, parser, tokenizers, corpora processing, transliteration, etc).

See Demo Pages.

See the benchmarking, which shows that SinaTools outperformed all related toolkits.

To install SinaTools, ensure you are using Python version 3.11.11, then clone the GitHub repository.

Alternatively, you can execute the following command:

pip install sinatools

Some modules in SinaTools require some data files and fine-tuned models to be downloaded. To download these models, please consult the DataDownload.

For information, please refer to the main page or the online domuementation.

Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia: SinaTools: Open Source Toolkit for Arabic Natural Language Understanding. In Proceedings of the 2024 AI in Computational Linguistics (ACLing 2024), Procedia Computer Science, Dubai. ELSEVIER.

SinaTools is available under the MIT License. See the LICENSE file for more information.

To report any issues or bugs, please contact us at "sina.institute.bzu@gmail.com" or visit SinaTools Issues.