Arabic Dialects

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33 papers6 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

Aladdin-FTI @ AMIYA Three Wishes for Arabic NLP: Fidelity, Diglossia, and Multidialectal Generation
Feb 18, 2026Jonathan Mutal, Perla Al Almaoui, Simon Hengchen +1Arabic NLP Arabic Dialects
Faculté de traduction et d’interprétation, Université de Genève
LLM-to-Speech: A Synthetic Data Pipeline for Training Dialectal Text-to-Speech Models
Feb 17, 2026Ahmed Khaled Khamis, Hesham AliTTS Synthesis Low-Resource TTS Synthesis
Georgia Institute of Technology · Nile University
SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models
Feb 3, 2026Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh +2LLM Safety Benchmarks Multilingual Language Model Evaluation
Compumacy for Artificial Intelligence Solutions, Cairo, Egypt · Computer Science Department, College of Computer Science and Engineering, Taibah University, Yanbu 46522, KSA · Electrical and Computer Engineering Department, George Mason University, VA, USA +2

Feb 18, 2026J/K move · Enter open · S save

Aladdin-FTI @ AMIYA Three Wishes for Arabic NLP: Fidelity, Diglossia, and Multidialectal Generation

Jonathan Mutal, Perla Al Almaoui, Simon Hengchen, Pierrette Bouillon

Faculté de traduction et d’interprétation, Université de Genève

Arabic NLP Arabic Dialects Arabic Language Models Machine Translation Multilingual Language Models Low-Resource Language Processing

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Arabic dialects have long been under-represented in Natural Language Processing (NLP) research due to their non-standardization and high variability, which pose challenges for computational modeling. Recent advances in the field, such as Large Language Models (LLMs), offer promising avenues to address this gap by enabling Arabic to be modeled as a pluricentric language rather than a monolithic system. This paper presents Aladdin-FTI, our submission to the AMIYA shared task. The proposed system is designed to both generate and translate dialectal Arabic (DA). Specifically, the model supports text generation in Moroccan, Egyptian, Palestinian, Syrian, and Saudi dialects, as well as bidirectional translation between these dialects, Modern Standard Arabic (MSA), and English. The code and trained model are publicly available.

Latest papers

Aladdin-FTI @ AMIYA Three Wishes for Arabic NLP: Fidelity, Diglossia, and Multidialectal Generation

LLM-to-Speech: A Synthetic Data Pipeline for Training Dialectal Text-to-Speech Models

SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models