2 citations · 3 across the 13 of their papers we have counts for
5 papers · 1 filter
CARDAMOM: A Micro-Dialectal Arabic Speech Dataset for ASR
Bashar Talafha, Samar M. Magdy, Aisha Alansari +36
We present Cardamom, a micro-dialectal Arabic speech dataset designed to support fine-grained evaluation and adaptation of automatic speech recognition (ASR) systems. Community-cur…
AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation
Abdellah El Mekki, AbdelRahim A. Elmadany, Samar M. Magdy +6
Dialectal Arabic machine translation (MT) remains challenging despite recent progress in Arabic language technologies, particularly because effective translation requires modeling…
LatentMT: Machine Translation with Latent Reasoning
Wei-Rui Chen, Samar M. Magdy, Chiyu Zhang +3
Latent-reasoning looped language models (LoopLMs) offer a different scaling path for machine translation (MT): instead of increasing parameter count or emitting explicit chain-of-t…
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,…
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…