activity
20212026
most citedExploiting Dialect Identification in Automatic Dialectal Text Normalization

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

collaborators
Showing 2025Show all

14 papers · 1 filter

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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,…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025★ 1 cited

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…