@inproceedings{hamed-etal-2025-survey,
title = "A Survey of Code-switched {A}rabic {NLP}: Progress, Challenges, and Future Directions",
author = "Hamed, Injy and
Sabty, Caroline and
Abdennadher, Slim and
Vu, Ngoc Thang and
Solorio, Thamar and
Habash, Nizar",
editor = "Rambow, Owen and
Wanner, Leo and
Apidianaki, Marianna and
Al-Khalifa, Hend and
Eugenio, Barbara Di and
Schockaert, Steven",
booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.coling-main.307/",
pages = "4561--4585",
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."
}
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%0 Conference Proceedings
%T A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions
%A Hamed, Injy
%A Sabty, Caroline
%A Abdennadher, Slim
%A Vu, Ngoc Thang
%A Solorio, Thamar
%A Habash, Nizar
%Y Rambow, Owen
%Y Wanner, Leo
%Y Apidianaki, Marianna
%Y Al-Khalifa, Hend
%Y Eugenio, Barbara Di
%Y Schockaert, Steven
%S Proceedings of the 31st International Conference on Computational Linguistics
%D 2025
%8 January
%I Association for Computational Linguistics
%C Abu Dhabi, UAE
%F hamed-etal-2025-survey
%X 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.
%U https://aclanthology.org/2025.coling-main.307/
%P 4561-4585
Markdown (Informal)
[A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions](https://aclanthology.org/2025.coling-main.307/) (Hamed et al., COLING 2025)
ACL
- Injy Hamed, Caroline Sabty, Slim Abdennadher, Ngoc Thang Vu, Thamar Solorio, and Nizar Habash. 2025. A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions. In Proceedings of the 31st International Conference on Computational Linguistics, pages 4561–4585, Abu Dhabi, UAE. Association for Computational Linguistics.