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.
@article{arxiv.2501.13419,
title = {A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions},
author = {Injy Hamed and Caroline Sabty and Slim Abdennadher and Ngoc Thang Vu and Thamar Solorio and Nizar Habash},
journal= {arXiv preprint arXiv:2501.13419},
year = {2025}
}