Automatic Arabic Text Diacritisation Challenges: A Review

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Iman Zubeiri, Adnan Souri, Badr Eddine El Mohajir


Arabic text diacritization poses a significant challenge within the realm of Natural Language Processing, driven by the intricacies of language modelization and the techniques employed to accurately add diacritics to the text. The complexity is significantly amplified when tackling the Arabic language, characterized by its unique linguistic features. The scarcity of tools and resources dedicated specifi-cally to Arabic diacritization, coupled with the necessity for algorithmic adapta-tion and modelization techniques, further intensifies the challenges. This paper undertakes the task of presenting multiple research endeavors dedicated to Arabic text diacritization, applying diverse algorithms across various datasets. The sub-sequent comparison of these research efforts aims to provide a comprehensive understanding of the field, offering conclusive insights that can guide researchers in their future work and endeavors in this specialized domain.

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How to Cite
Iman Zubeiri, Adnan Souri, Badr Eddine El Mohajir. (2024). Automatic Arabic Text Diacritisation Challenges: A Review. International Journal on Recent and Innovation Trends in Computing and Communication, 12(2), 316–321. Retrieved from