Work

AlSaifTeam at AR-MS NAKBA-NLP 2026: Building Expert-Quality Ground Truth for Arabic Handwritten Manuscripts

Year: 2026

Type: conference-paper

Abstract: This paper describes our participation in Subtask 1 of the NAKBA NLP 2026 Arabic Manuscript Understanding Shared Task, focusing on the manual creation of expert-quality, line-level transcriptions for Arabic handwritten manuscripts.To ensure reliable ground truth, we adopt a protocol-driven methodology based on fixed transcription rules, collaborative verification, and confidence-based quality control.The proposed approach aims to improve consistency and support the creation of trustworthy benchmark resources for future Arabic OCR and HTR research.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/5pcgw3fzbc6i

Authors: Joud Fahad AlSaif, Alhasan Mohammad Hamood, Jana Mohammad Alseed

Institution: Arab Open University

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7166572450

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