2 citations · 5 across the 15 of their papers we have counts for
14 papers · 1 filter
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…
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…
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…
Arab Voices: Mapping Standard and Dialectal Arabic Speech Technology
Peter Sullivan, AbdelRahim Elmadany, Alcides Alcoba Inciarte +1
Dialectal Arabic (DA) speech data vary widely in domain coverage, dialect labeling practices, and recording conditions, complicating cross-dataset comparison and model evaluation.…
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.…
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…