A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions

Injy Hamed, Caroline Sabty, Slim Abdennadher, Ngoc Thang Vu, Thamar Solorio +1 more
1/23/2025
cs.CL

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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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Cite this paper

@article{hamed2025survey,
  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},
  year   = {2025},
  eprint = {2501.13419},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.13419v1}
}

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