5 citations · 12 across the 31 of their papers we have counts for
31 papers
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…
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…
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…
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…
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.…
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…
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data
Kurt Micallef, Nizar Habash, Claudia Borg
Maltese is a unique Semitic language that has evolved under extensive influence from Romance and Germanic languages, particularly Italian and English. Despite its Semitic roots, it…
AraHealthQA 2025: The First Shared Task on Arabic Health Question Answering
Hassan Alhuzali, Walid Al-Eisawi, Muhammad Abdul-Mageed +9
We introduce AraHealthQA 2025, the Comprehensive Arabic Health Question Answering Shared Task, held in conjunction with ArabicNLP 2025 (co-located with EMNLP 2025). This shared tas…
NADI 2025: The First Multidialectal Arabic Speech Processing Shared Task
Bashar Talafha, Hawau Olamide Toyin, Peter Sullivan +9
We present the findings of the sixth Nuanced Arabic Dialect Identification (NADI 2025) Shared Task, which focused on Arabic speech dialect processing across three subtasks: spoken…
The Arabic Generality Score: Another Dimension of Modeling Arabic Dialectness
Sanad Shaban, Nizar Habash
Arabic dialects form a diverse continuum, yet NLP models often treat them as discrete categories. Recent work addresses this issue by modeling dialectness as a continuous variable,…
A Tale of Two Scripts: Transliteration and Post-Correction for Judeo-Arabic
Juan Moreno Gonzalez, Bashar Alhafni, Nizar Habash
Judeo-Arabic refers to Arabic variants historically spoken by Jewish communities across the Arab world, primarily during the Middle Ages. Unlike standard Arabic, it is written in H…
Lemmatization as a Classification Task: Results from Arabic across Multiple Genres
Mostafa Saeed, Nizar Habash
Lemmatization is crucial for NLP tasks in morphologically rich languages with ambiguous orthography like Arabic, but existing tools face challenges due to inconsistent standards an…
Proper Noun Diacritization for Arabic Wikipedia: A Benchmark Dataset
Rawan Bondok, Mayar Nassar, Salam Khalifa +2
Proper nouns in Arabic Wikipedia are frequently undiacritized, creating ambiguity in pronunciation and interpretation, especially for transliterated named entities of foreign origi…
MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks
Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf +3
Large Language Models (LLMs) have demonstrated significant promise for various applications in healthcare. However, their efficacy in the Arabic medical domain remains unexplored d…
ARWI: Arabic Write and Improve
Kirill Chirkunov, Bashar Alhafni, Chatrine Qwaider +2
Although Arabic is spoken by over 400 million people, advanced Arabic writing assistance tools remain limited. To address this gap, we present ARWI, a new writing assistant that he…
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
Injy Hamed, Ngoc Thang Vu, Nizar Habash
Code-switching, the act of alternating between languages, emerged as a prevalent global phenomenon that needs to be addressed for building user-friendly language technologies. A ma…
Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection
Chatrine Qwaider, Bashar Alhafni, Kirill Chirkunov +2
Automated Essay Scoring (AES) plays a crucial role in assessing language learners' writing quality, reducing grading workload, and providing real-time feedback. The lack of annotat…
Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study
Bashar Alhafni, Nizar Habash
Text editing frames grammatical error correction (GEC) as a sequence tagging problem, where edit tags are assigned to input tokens, and applying these edits results in the correcte…
A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions
Injy Hamed, Caroline Sabty, Slim Abdennadher +3
Language in the Arab world presents a complex diglossic and multilingual setting, involving the use of Modern Standard Arabic, various dialects and sub-dialects, as well as multipl…
A Derivational ChainBank for Modern Standard Arabic
Reham Marzouk, Sondos Krouna, Nizar Habash
We introduce the new concept of an Arabic Derivational Chain Bank CHAINBANK to leverage the relationship between form and meaning in modeling Arabic derivational morphology. We con…
The FIGNEWS Shared Task on News Media Narratives
Wajdi Zaghouani, Mustafa Jarrar, Nizar Habash +5
We present an overview of the FIGNEWS shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. The shared task addresses bias and propaganda annota…
NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Amr Keleg, AbdelRahim Elmadany +5
We describe the findings of the fifth Nuanced Arabic Dialect Identification Shared Task (NADI 2024). NADI's objective is to help advance SoTA Arabic NLP by providing guidance, data…
Strategies for Arabic Readability Modeling
Juan Piñeros Liberato, Bashar Alhafni, Muhamed Al Khalil +1
Automatic readability assessment is relevant to building NLP applications for education, content analysis, and accessibility. However, Arabic readability assessment is a challengin…