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.
@article{arxiv.2212.09660,
title = {The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges},
author = {Genta Indra Winata and Alham Fikri Aji and Zheng-Xin Yong and Thamar Solorio},
journal= {arXiv preprint arXiv:2212.09660},
year = {2023}
}