BAREC shared task 2025 on Arabic readability assessment
Elmadani, Khalid N. Alhafni, Bashar Taha, Hanada Habash, Nizar
Elmadani, Khalid N.
Alhafni, Bashar
Taha, Hanada
Habash, Nizar
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Department
Natural Language Processing
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Type
Conference proceeding
Date
2025
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Language
English
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Journal Issue
Abstract
We present the results and findings of the BAREC Shared Task 2025 on Arabic Readability Assessment, organized as part of The Third Arabic Natural Language Processing Conference (ArabicNLP 2025). The BAREC 2025 shared task focuses on automatic readability assessment using BAREC Corpus, addressing fine-grained classification into 19 readability levels. The shared task includes two sub-tasks: sentence-level classification and document-level classification, and three tracks: (1) Strict Track, where only BAREC Corpus is allowed; (2) Constrained Track, restricted to the BAREC Corpus, SAMER Corpus, and SAMER Lexicon, and (3) Open Track, allowing any external resources. A total of 22 teams from 12 countries registered for the task. Among these, 17 teams submitted system description papers. The winning team achieved 87.5 QWK on the sentence-level task and 87.4 QWK on the document-level task.
Citation
K. N. Elmadani, B. Alhafni, H. Taha-Thomure, and N. Habash, “BAREC Shared Task 2025 on Arabic Readability Assessment,” Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks, pp. 239–252, 2025, doi: 10.18653/V1/2025.ARABICNLP-SHAREDTASKS.34
Source
Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks
Conference
Third Arabic Natural Language Processing Conference: Shared Tasks
Keywords
Arabic Readability Assessment, Fine-Grained Classification, Readability Levels (19), Sentence-Level & Document-Level Tasks, Arabic NLP Shared Task, BAREC Corpus, Readability Evaluation Metrics, Multilingual Education Technology
Subjects
Source
Third Arabic Natural Language Processing Conference: Shared Tasks
Publisher
Association for Computational Linguistics