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20242026
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cs.CL2026

Bulbul: A Dataset for Dialectal Arabic Speech Recognition

Ahmed Ashraf, Aisha Alansari, Fadel Al Abbas +30

Arabic automatic speech recognition (ASR) faces unique challenges due to diglossia, extensive regional dialect variation, and limited speech resources. Existing speech datasets oft…

cs.CL2026

AfroScope: A Framework for Studying the Linguistic Landscape of Africa

Sang Yun Kwon, AbdelRahim Elmadany, Muhammad Abdul-Mageed

Language Identification (LID), the task of determining the language of a given text, is a fundamental preprocessing step that shapes the reliability of downstream NLP applications.…

cs.CL2026

LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation

Samar M. Magdy, Fakhraddin Alwajih, Abdellah El Mekki +2

Existing MT evaluation frameworks, including automatic metrics and human evaluation schemes such as Multidimensional Quality Metrics (MQM), are largely language-agnostic. However,…

cs.CL2026

Alexandria: A Multi-Domain Dialectal Arabic Machine Translation Dataset for Culturally Inclusive and Linguistically Diverse LLMs

Abdellah El Mekki, Samar M. Magdy, Houdaifa Atou +44

Arabic is a highly diglossic language where most daily communication occurs in regional dialects rather than Modern Standard Arabic (MSA). Despite this, machine translation (MT) sy…

cs.CL2026

Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs

Muhammed Saeed, Muhammad Abdul-mageed, Shady Shehata

Large language models (LLMs) are widely deployed for open-ended communication, yet most bias evaluations still rely on English, classification-style tasks. We introduce \corpusname…

cs.CL2026

Beyond Content: How Grammatical Gender Shapes Visual Representation in Text-to-Image Models

Muhammed Saeed, Shaina Raza, Ashmal Vayani +3

Research on bias in Text-to-Image (T2I) models has primarily focused on demographic representation and stereotypical attributes, overlooking a fundamental question: how does gramma…