Challenging the Transformer-based models with a Classical Arabic dataset: Quran and Hadith (2022 · 6 citations)
Transformer models score near or above human level on popular similarity benchmarks. The authors argue these scores overstate real understanding for two reasons. Random train/test splits leak instances between sets, and benchmark sentences are easy to read. Both problems are worse for Classical Arabic, which has few…
Leveraging AI to Bridge Classical Arabic and Modern Standard Arabic for Text Simplification (2025)
Classical Arabic (CA), the language of the Quran and Hadith, uses archaic vocabulary and dense syntax. Many of its words and constructions have no counterpart in Modern Standard Arabic (MSA), and LLMs trained on modern text handle it poorly. Arabic simplification corpora also exist only for contemporary MSA material.…

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