Work

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

Year: 2025

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2501.13419

Authors: Hamed, Injy, Sabty, Caroline, Abdennadher, Slim, Vu, Ngoc Thang, Solorio, Thamar, Habash, Nizar

Institutions: German International University, New York University Abu Dhabi, University of Stuttgart, University of Houston

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4406786111

Cites:

Cited by: 2

Related to: 10