A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 54 of its 203 references that are in the map. First posted on arXiv 23 Jan 2025.
Builds on
54 of 203 references.
References · 54
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38 more
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Citing papers per year: 2025: 4; 2026: 1.
5 papers.
- 2025Tell me Habibi, is it Real or Fake?cited by 6
- 2025MathMist: A Parallel Multilingual Benchmark Dataset for Mathematical Problem Solving and Reasoningcited by 6
- 2025Ara-HOPE: Human-Centric Post-Editing Evaluation for Dialectal Arabic to Modern Standard Arabic Translationcited by 2
- 2025The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASRcited by 1
- 2026A Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Studycited by 0
- 2026A Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Study24 Aug 2026
- 2025Ara-HOPE: Human-Centric Post-Editing Evaluation for Dialectal Arabic to Modern Standard Arabic Translation25 Dec 2025
- 2025MathMist: A Parallel Multilingual Benchmark Dataset for Mathematical Problem Solving and Reasoning16 Oct 2025
- 2025Tell me Habibi, is it Real or Fake?28 May 2025
- 2025The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR30 Mar 2025