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Author

Mohamed Diaa Zellagui

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Review Aug 2026

AraMS-28k: The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts with Margin and Insertion-Anchor Annotations

We introduce AraMS-28k, the largest publicly released line-level dataset of genuine historical Arabic manuscripts, comprising 14 books, 3,043 pages, and 28,600 annotated text lines (27,971 main-text, 629 margin). Thirteen books are hand-copied manuscripts spanning three script traditions -- Naskh, Ruq'ah, and Maghrebi...

Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib et al. · 1 citation · ⚡1
Review Aug 2026

RefLAM: A Reference-Grounded Line Annotation Pipeline for Historical Arabic Manuscripts

RefLAM (Reference-grounded Line Annotation for Manuscripts), a pipeline converting manuscript page images and clean transcriptions into validated, line-level ground truth without sacrificing human oversight, is presented, with CER results confirming its practical utility for downstream HTR training.

Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib et al. · 1 citation · ⚡1

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