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-1.0.9.tar.gz (126.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sinatools-1.0.9-py2.py3-none-any.whl (260.4 kB view details)

Uploaded Python 2Python 3

File details

Details for the file sinatools-1.0.9.tar.gz.

File metadata

  • Download URL: sinatools-1.0.9.tar.gz
  • Upload date:
  • Size: 126.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for sinatools-1.0.9.tar.gz
Algorithm Hash digest
SHA256 29430e497a87dd86c70eeead6c17a54a8f5d1665646c4ae480baae0d27d04ad9
MD5 d924376ed0cd2b507122ca2e3a379e32
BLAKE2b-256 f7ab068fb5d98fa4e55df79eca5b6c6fa03823309056d38cec8260b6c268c35e

See more details on using hashes here.

File details

Details for the file sinatools-1.0.9-py2.py3-none-any.whl.

File metadata

  • Download URL: sinatools-1.0.9-py2.py3-none-any.whl
  • Upload date:
  • Size: 260.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for sinatools-1.0.9-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 05898cedde3686fafec930db215bfc70f876db075fd6440a7c6671d0895ba169
MD5 909d4a51b24c610331e865b60e8f9a6e
BLAKE2b-256 aa5e0f91c77f92141019aff24431225adce0e2de221bb973b5372edeb4f418ac

See more details on using hashes here.

Supported by

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