A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions
Hamed, Injy Sabty, Caroline Abdennadher, Slim Vu, Ngoc Thang Solorio, Thamar Habash, Nizar
Hamed, Injy
Sabty, Caroline
Abdennadher, Slim
Vu, Ngoc Thang
Solorio, Thamar
Habash, Nizar
Supervisor
Department
Natural Language Processing
Embargo End Date
Type
Workshop
Date
2025
License
Language
English
Collections
Research Projects
Organizational Units
Journal Issue
Abstract
Language in the Arab world presents a complex diglossic and multilingual setting, involving the use of Modern Standard Arabic, various dialects and sub-dialects, as well as multiple European languages. This diverse linguistic landscape has given rise to code-switching, both within Arabic varieties and between Arabic and foreign languages. The widespread occurrence of code-switching across the region makes it vital to address these linguistic needs when developing language technologies. In this paper, we provide a review of the current literature in the field of code-switched Arabic NLP, offering a broad perspective on ongoing efforts, challenges, research gaps, and recommendations for future research directions.
Citation
I. Hamed, C. Sabty, S. Abdennadher, N. T. Vu, T. Solorio, and N. Habash, “A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions,” 2025. Accessed: Mar. 25, 2025. [Online]. Available: https://aclanthology.org/2025.coling-main.307/
Source
Workshop on Language Models for Low-Resource Languages
Conference
Keywords
Code-switching, Arabic NLP, Multilingualism, Diglossia, Language technologies
Subjects
Source
Publisher
Association for Computational Linguistics