A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866910795460247552 |
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| author | Hamed, Injy Sabty, Caroline Abdennadher, Slim Vu, Ngoc Thang Solorio, Thamar Habash, Nizar |
| author_facet | Hamed, Injy Sabty, Caroline Abdennadher, Slim Vu, Ngoc Thang Solorio, Thamar Habash, Nizar |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_13419 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions Hamed, Injy Sabty, Caroline Abdennadher, Slim Vu, Ngoc Thang Solorio, Thamar Habash, Nizar Computation and Language 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. |
| title | A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2501.13419 |