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    <abstract>This paper presents the annotation guidelines of the Balanced Arabic Readability Evaluation Corpus (BAREC), a large-scale resource for fine-grained sentence-level readability assessment in Arabic. BAREC includes 69,441 sentences (1M+ words) labeled across 19 levels, from kindergarten to postgraduate. Based on the Taha/Arabi21 framework, the guidelines were refined through iterative training with native Arabic-speaking educators. We highlight key linguistic, pedagogical, and cognitive factors in determining readability and report high inter-annotator agreement: Quadratic Weighted Kappa 81.8% (substantial/excellent agreement) in the last annotation phase. We also benchmark automatic readability models across multiple classification granularities (19-, 7-, 5-, and 3-level). The corpus and guidelines are publicly available: http://barec.camel-lab.com.</abstract>
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%0 Conference Proceedings
%T Guidelines for Fine-grained Sentence-level Arabic Readability Annotation
%A Habash, Nizar
%A Taha-Thomure, Hanada
%A Elmadani, Khalid N.
%A Zeino, Zeina
%A Abushmaes, Abdallah
%Y Peng, Siyao
%Y Rehbein, Ines
%S Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-262-6
%F habash-etal-2025-guidelines
%X This paper presents the annotation guidelines of the Balanced Arabic Readability Evaluation Corpus (BAREC), a large-scale resource for fine-grained sentence-level readability assessment in Arabic. BAREC includes 69,441 sentences (1M+ words) labeled across 19 levels, from kindergarten to postgraduate. Based on the Taha/Arabi21 framework, the guidelines were refined through iterative training with native Arabic-speaking educators. We highlight key linguistic, pedagogical, and cognitive factors in determining readability and report high inter-annotator agreement: Quadratic Weighted Kappa 81.8% (substantial/excellent agreement) in the last annotation phase. We also benchmark automatic readability models across multiple classification granularities (19-, 7-, 5-, and 3-level). The corpus and guidelines are publicly available: http://barec.camel-lab.com.
%R 10.18653/v1/2025.law-1.30
%U https://aclanthology.org/2025.law-1.30/
%U https://doi.org/10.18653/v1/2025.law-1.30
%P 359-376

Markdown (Informal)

[Guidelines for Fine-grained Sentence-level Arabic Readability Annotation](https://aclanthology.org/2025.law-1.30/) (Habash et al., LAW 2025)

• Guidelines for Fine-grained Sentence-level Arabic Readability Annotation (Habash et al., LAW 2025)

ACL

• Nizar Habash, Hanada Taha-Thomure, Khalid N. Elmadani, Zeina Zeino, and Abdallah Abushmaes. 2025. Guidelines for Fine-grained Sentence-level Arabic Readability Annotation. In Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025), pages 359–376, Vienna, Austria. Association for Computational Linguistics.