The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges
It synthesizes existing knowledge for researchers in NLP, but is incremental as it reviews prior work without introducing new methods or results.
This paper provides a systematic survey of decades of research on code-switching in NLP, summarizing trends, challenges, and tasks to understand progress and outline future directions.
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.