Skip to main content

Open-source Python toolkit for Arabic Natural Understanding, allowing people to integrate it in their system workflow.

Project description

SinaTools

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.

Installation

To install SinaTools, ensure you are using Python version 3.10.8, then clone the GitHub repository.

Alternatively, you can execute the following command:

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.

Documentation

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

Citation

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.

License

SinaTools is available under the MIT License. See the 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

SinaTools-0.1.31.tar.gz (249.2 kB view details)

Uploaded Source

Built Distribution

SinaTools-0.1.31-py2.py3-none-any.whl (269.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file SinaTools-0.1.31.tar.gz.

File metadata

  • Download URL: SinaTools-0.1.31.tar.gz
  • Upload date:
  • Size: 249.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.3

File hashes

Hashes for SinaTools-0.1.31.tar.gz
Algorithm Hash digest
SHA256 4f98e1d3490a0a0f7b45f788ee799c2cdfe9ba74921b94e0f86967858e531e46
MD5 5cbc9fd5dd4f3951a2a8df8d240912bd
BLAKE2b-256 f80dba97dc5a8f5757dbfd5ca53212ed4fa7dbf345d2d1e7e02058622fbf0889

See more details on using hashes here.

File details

Details for the file SinaTools-0.1.31-py2.py3-none-any.whl.

File metadata

  • Download URL: SinaTools-0.1.31-py2.py3-none-any.whl
  • Upload date:
  • Size: 269.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.3

File hashes

Hashes for SinaTools-0.1.31-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e5bfe0d7c8531e10b98d420672de3ed4abdf1a2fbf97b0467e2656845706508c
MD5 914879c612d6360dcf66349eaa670555
BLAKE2b-256 9d74235693b5878086411b9532e0d309cf5225b929c2ff8dadb13b81d01eebfa

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page