16 papers
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…
AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic
Omar Elshehy, Omer Nacar, Abdelbasset Djamai +3
Encoder-only transformer models remain widely used for discriminative NLP tasks, yet recent architectural advances have largely focused on English. In this work, we present AraMode…
ASCAT: An Arabic Scientific Corpus and Benchmark for Advanced Translation Evaluation
Serry Sibaee, Khloud Al Jallad, Zineb Yousfi +4
We present ASCAT (Arabic Scientific Corpus for Advanced Translation), a high-quality English-Arabic parallel benchmark corpus designed for scientific translation evaluation constru…
From Language to Action in Arabic: Reliable Structured Tool Calling via Data-Centric Fine-Tuning
Omer Nacar, Deema Alquffari, Saleh Alsharideh +22
Function-calling language models are essential for agentic AI systems that translate natural language into executable structured actions, yet existing models exhibit severe structu…
ARCADE: A City-Scale Corpus for Fine-Grained Arabic Dialect Tagging
Omer Nacar, Serry Sibaee, Adel Ammar +12
The Arabic language is characterized by a rich tapestry of regional dialects that differ substantially in phonetics and lexicon, reflecting the geographic and cultural diversity of…
Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset
Fakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki +34
Mainstream large vision-language models (LVLMs) inherently encode cultural biases, highlighting the need for diverse multimodal datasets. To address this gap, we introduce PEARL, a…