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20212026
most citedExploiting Dialect Identification in Automatic Dialectal Text Normalization

5 citations · 12 across the 31 of their papers we have counts for

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cs.CL2026

NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task

Peter Sullivan, Bashar Talafha, Ahmed Ashraf +11

NADI 2026 is the seventh edition of the Nuanced Arabic Dialect Identification (NADI) shared task series and the second dedicated to multidialectal Arabic speech processing. This ed…

cs.CL2026

YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models

Mahmoud Reda, Salam Khalifa, Reham Marzouk +1

Arabic morphology remains challenging for large language models, since fluent generation does not guarantee accurate morphosyntactic control. Existing Arabic evaluations mainly tar…

cs.CL2026

Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection

Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan +7

Large Language Models (LLMs) perform strongly in English medical tasks but degrade substantially in Arabic, a gap widely attributed to limited training data. We systematically inve…

cs.CL2026

Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models

Mohamed Adel, Bashar Alhafni, Nizar Habash

LLMs perform strongly across NLP, but their ability to produce explicit grammatical analyses remains unclear. Arabic provides a challenging testbed due to its rich morphology and o…

cs.CL2026

Cross-Lingual Empirical Evaluation of Large Language Models for Arabic Medical Tasks

Chaimae Abouzahir, Congbo Ma, Nizar Habash +1

In recent years, Large Language Models (LLMs) have become widely used in medical applications, such as clinical decision support, medical education, and medical question answering.…

cs.CL2026

MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and Benchmark

Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj +6

Arabic remains one of the most underrepresented languages in natural language processing research, particularly in medical applications, due to the limited availability of open-sou…