The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges
Genta Winata, Alham Fikri Aji, Zheng Xin Yong, Thamar Solorio
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.
BibTeX
@inproceedings{winata-etal-2023-decades,
title = "The Decades Progress on Code-Switching Research in {NLP}: A Systematic Survey on Trends and Challenges",
author = "Winata, Genta and
Aji, Alham Fikri and
Yong, Zheng Xin and
Solorio, Thamar",
editor = "Rogers, Anna and
Boyd-Graber, Jordan and
Okazaki, Naoaki",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-acl.185/",
doi = "10.18653/v1/2023.findings-acl.185",
pages = "2936--2978"
}