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20242026
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cs.CL2026

ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation

Khaled Elhady, Omar Kallas, Nizar Habash +1

We introduce ArabiGEE, the first comprehensive Arabic grammatical error explanation (GEE) taxonomy grounded in explicit error types. Unlike existing GEE approaches that treat expla…

cs.CL2026

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

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.CL2024

LLMs in Education: Novel Perspectives, Challenges, and Opportunities

Bashar Alhafni, Sowmya Vajjala, Stefano Bannò +2

The role of large language models (LLMs) in education is an increasing area of interest today, considering the new opportunities they offer for teaching, learning, and assessment.…

cs.CL2024

The SAMER Arabic Text Simplification Corpus

Bashar Alhafni, Reem Hazim, Juan Piñeros Liberato +2

We present the SAMER Corpus, the first manually annotated Arabic parallel corpus for text simplification targeting school-aged learners. Our corpus comprises texts of 159K words se…

cs.CL2024

mEdIT: Multilingual Text Editing via Instruction Tuning

Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni +2

We introduce mEdIT, a multi-lingual extension to CoEdIT -- the recent state-of-the-art text editing models for writing assistance. mEdIT models are trained by fine-tuning multi-lin…