4 citations · 4 across the 10 of their papers we have counts for
11 papers
MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset
Serry Sibaee, Yasser Alhabashi, Nadia Sibai +4
Arabic is a linguistically and culturally rich language with a vast vocabulary that spans scientific, religious, and literary domains. Yet, large-scale lexical datasets linking Ara…
The Path Ahead for Agentic AI: Challenges and Opportunities
Nadia Sibai, Yara Ahmed, Serry Sibaee +3
The evolution of Large Language Models (LLMs) from passive text generators to autonomous, goal-driven systems represents a fundamental shift in artificial intelligence. This chapte…
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…
SHAMI-MT: A Syrian Arabic Dialect to Modern Standard Arabic Bidirectional Machine Translation System
Serry Sibaee, Omer Nacar, Yasser Al-Habashi +2
The rich linguistic landscape of the Arab world is characterized by a significant gap between Modern Standard Arabic (MSA), the language of formal communication, and the diverse re…
QARI-OCR: High-Fidelity Arabic Text Recognition through Multimodal Large Language Model Adaptation
Ahmed Wasfy, Omer Nacar, Abdelakreem Elkhateb +4
The inherent complexities of Arabic script; its cursive nature, diacritical marks (tashkeel), and varied typography, pose persistent challenges for Optical Character Recognition (O…
From Guidelines to Practice: A New Paradigm for Arabic Language Model Evaluation
Serry Sibaee, Omer Nacar, Adel Ammar +3
This paper addresses critical gaps in Arabic language model evaluation by establishing comprehensive theoretical guidelines and introducing a novel evaluation framework. We first a…