Author

Bashar Alhafni

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#natural language process... Jun 2026

When Similar Means Different: Evaluating LLMs on Arabic-Hebrew Cognates

This work introduces SemCog Bench, a curated benchmark of 1,858 Arabic--Hebrew word pairs with sentence-level annotations for cognate identification and semantic disambiguation and finds that context and scale yield model-dependent gains, while original-script inputs generally perform best.

Junhong Liang, Noor Abo Mokh, Bashar Alhafni · arXiv.org · 0 citations

#natural language process... Jun 2026

Arabic Sentence Segmentation Across Genres and Punctuation Conditions

A genre-diverse sentence segmentation corpus spanning eight genres and a wide range of punctuation and document structure conditions is introduced, using AraSEG to evaluate LLMs, lightweight encoder models, and dependency parser-based models under increasingly challenging segmentation settings.

M. Elkholy, Khalid N. Elmadani, Nizar Habash et al. · arXiv.org · 1 citation