Communication
Algerian Arabic Dialects in Natural Language Processing: Challenges and Perspectives
Amara Miloudi✉, Mohammed Mounir Bouhamed, Abdelkader Laouid, Abdennour Boulesnane, Abdennacer Khelaifa, Makhlouf Derdour
Résumé
Large Language Models (LLMs) and conversational agents have revolutionized Natural Language Processing (NLP), yet their performance varies significantly across linguistic varieties. While Modern Standard Arabic (MSA) is relatively wellsupported, Algerian Arabic dialects remain significantly underresourced, despite serving as the primary means of communication for more than forty million speakers. ...
Détails
| Langue originale | English |
|---|---|
| Revue | 2026 8th International Conference on Pattern Analysis and Intelligent Systems (PAIS) |
| Numéro d’article | 11605333 |
| Pages | 1-8 |
| DOI | 10.1109/pais69842.2026.11605333 |
| Statut de publication | Publié — 2026 |