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Rabia Rachidi

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Conference Jul 2026

A Comparative Benchmark of Specialized Deep Learning Architectures and Fine-Tuned LLMs for Arabic Text Readability

Readability assessment for Arabic remains challenging due to the language's complex morphology. This paper presents a comparative study benchmarking traditional Machine Learning (ML), advanced Deep Learning (DL), and finetuned Large Language Models (LLMs). Utilizing a dataset of 4,519 Arabic sentences categorized into...

Mohamed-Amine Ouassil, Rabia Rachidi, Othmane Daanouni et al. · 0 citations

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