This project is an Automated Arabic Algerian Sign Language (ALSL) Translation System that utilizes 3D avatar technology to translate Arabic text into dynamic ALSL gestures. The system is designed to improve accessibility and communication for the deaf community in Algeria.
The translation engine relies on:
- HamNoSys (Hamburg Notation System) for encoding ALSL gestures.
- SiGML (Signing Gesture Markup Language) for generating animated sign language.
- CWASA (CWA Signing Avatars) for rendering the 3D avatar’s sign language animations.
The system currently supports a dictionary of 417 ALSL words with a certified accuracy rate of 75.53%.
✅ Real-time ALSL translation from Arabic text to 3D avatar gestures.
✅ Lexicon of ALSL gestures, built using HamNoSys and validated by sign language experts.
✅ Web-based interface for accessibility and ease of use.
✅ Integration with CWASA avatar rendering for accurate sign representation.
Try the Algerian Sign Language 3D avatar here:
🔗 3D ALSL Demo
.
├── data
│ ├── categories_files.json
│ └── sigml/ (Contains SiGML files for ALSL words)
├── docs
│ ├── images/ (Project-related images and screenshots)
│ ├── asl-3d-avatar-master-memory.pdf (Master thesis documentation)
│ ├── NAFATH-4th-ID-141-ALSL2024.pdf (Research paper)
├── source-data
│ ├── words.ods (Dataset containing ALSL words)
│ ├── [Various categories of SiGML files]
├── tests
│ ├── extract_data_word_list.py (Script for extracting word lists)
│ ├── output/ (Generated test data)
├── tools
│ ├── import_fr_sigml_to_arabic.py (Script for importing French Sign Language to Arabic Sign Language)
├── web-simulator
│ ├── avatars/ (3D avatar models)
│ ├── index.html (Web interface for testing the system)
│ ├── shaders/ (Rendering scripts)
└── README.md
- Python (for preprocessing scripts)
- Web browser (for running the simulator)
cd web-simulator
python -m http.server 8000Then, open your browser and visit:
http://localhost:8000
- Algerian Sign Language (FaceBook page)
- DictaSign Project
- HamNoSys Notation System
- SiGML (Signing Gesture Markup Language)
- CWASA Signing Avatars
If you use this project in your research, please cite:
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PDF Amine Mami, Mohamed elFares Slimani, Automated Arabic Algerian Sign Language Translation System Based on 3D Avatar Technology, Final Master Project, Dept. of Mathematics and Computer Science, Faculty of Sciences, Yahia Fares Univ. of Médéa, 2023-2024.
@mastersthesis{Mami2024, author = {Amine Mami and Mohamed Elfares Slimani}, title = {Automated Arabic Algerian Sign Language Translation System Based on 3D Avatar Technology}, school = {Yahia Fares University of Médéa}, year = {2023-2024} }
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PDF Amine Mami, Mohamed elFares Slimani, Taha Zerrouki and and Redha Mazari, “Arabic Algerian Sign Language Translation System Based on 3D Avatar Technology,” Nafath, Mada Center, Qatar, 2024.
@article{Mami-nafath2024, author = {Amine Mami, Mohamed Elfares Slimani, Taha Zerrouki, Redha Mazari}, title = {Arabic Algerian Sign Language Translation System Based on 3D Avatar Technology}, journal = {Nafath}, year = {2024}, publisher = {Mada Center, Qatar} }
We sincerely thank Mr. Youcef Benyahia for his expert contributions to our 3D avatars and animations. Special thanks to Mrs. Dharbou Maroua, whose dedication as a sign language specialist greatly enhanced the quality of over 300 Algerian Sign Language (ASL) gestures. We are also grateful to the teachers of the School for the Deaf in Beni Slimane, Medea, for their essential feedback during prototype testing.
- Amine Mami
- Mohamed Elfares Slimani
- Taha Zerrouki (Supervisor)
- Redha Mazari
This project is licensed under CC BY-NC-4.0.
🎯 This project aims to bridge the communication gap for the deaf community in Algeria using cutting-edge 3D avatar technology. Your contributions and feedback are welcome!