CLDec 19, 2022

The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges

arXiv:2212.09660v2241 citationsh-index: 42
AI Analysis

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.

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