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20202026
most citedA DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

65 citations · 148 across the 55 of their papers we have counts for

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cs.CL2026

Learning the Arabic Dialect Continuum as a Continuous Space: A Regression Approach to Speaker Origin Prediction

Mohamed Aziz Khadraoui, Adel Ammar, Bilel Benjdira +3

We present a regression-based approach to Arabic dialect geolocation that models dialectal variation as a continuous geographic space rather than discrete categories. Speaker origi…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training

Omer Nacar, Anis Koubaa, Serry Sibaee +3

Semantic textual similarity (STS) is a critical task in natural language processing (NLP), enabling applications in retrieval, clustering, and understanding semantic relationships…