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        <title>The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges</title>
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    <abstract>Code-Switching, a common phenomenon in written text and conversation, has been studied over decades by the natural language processing (NLP) research community. Initially, code-switching is intensively explored by leveraging linguistic theories and, currently, more machine-learning oriented approaches to develop models. We introduce a comprehensive systematic survey on code-switching research in natural language processing to understand the progress of the past decades and conceptualize the challenges and tasks on the code-switching topic. Finally, we summarize the trends and findings and conclude with a discussion for future direction and open questions for further investigation.</abstract>
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%0 Conference Proceedings
%T The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges
%A Winata, Genta
%A Aji, Alham Fikri
%A Yong, Zheng Xin
%A Solorio, Thamar
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Findings of the Association for Computational Linguistics: ACL 2023
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F winata-etal-2023-decades
%X Code-Switching, a common phenomenon in written text and conversation, has been studied over decades by the natural language processing (NLP) research community. Initially, code-switching is intensively explored by leveraging linguistic theories and, currently, more machine-learning oriented approaches to develop models. We introduce a comprehensive systematic survey on code-switching research in natural language processing to understand the progress of the past decades and conceptualize the challenges and tasks on the code-switching topic. Finally, we summarize the trends and findings and conclude with a discussion for future direction and open questions for further investigation.
%R 10.18653/v1/2023.findings-acl.185
%U https://aclanthology.org/2023.findings-acl.185
%U https://doi.org/10.18653/v1/2023.findings-acl.185
%P 2936-2978

Markdown (Informal)

[The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges](https://aclanthology.org/2023.findings-acl.185) (Winata et al., Findings 2023)

• The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges (Winata et al., Findings 2023)

ACL

• Genta Winata, Alham Fikri Aji, Zheng Xin Yong, and Thamar Solorio. 2023. The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges. In Findings of the Association for Computational Linguistics: ACL 2023, pages 2936–2978, Toronto, Canada. Association for Computational Linguistics.