Visualizing the knowledge domain of code-switching: a bibliometric review

ABSTRACT

Code-switching (CS) is prevalent in bilingual communication. With the bibliometric method CiteSpace, this paper gives an overview of the 1319 bibliometric records (1998–2018) on CS selected from the Web of Science. A co-occurring keyword network and a co-citation network of these publications were constructed. Analyses on the high-frequency keywords, document co-citation, co-cited reference clusters, publications with centrality betweenness and citation bursts have been conducted. The results indicate that the landscape of CS research has been expanded from the initial focus on the lexical/conceptual aspect to today’s in-depth explorations on language contact, language control, systematic pedagogy, etc. Topics related to ‘multimodality’, ‘translanguaging’, ‘switch costs’ and ‘automatic speech recognition’ can represent the emerging trends of CS studies in various perspectives, such as linguistics, social science, cognitive science and computer science.

KEYWORDS:

• Code-switching
• CiteSpace
• bibliometrics
• co-citation analysis
• multimodality
• translanguaging
• switch costs
• automatic speech recognition

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by China's National Social Science Fund [grant number 20BYY098].

Notes on contributors

Xiaoping Liu

Xiaoping Liu is Associate Professor of English studies at Tianjin Foreign Studies University, China. She earned her PhD in Linguistics and Applied Linguistics. Her research interests include exploring translation processing and non-natives' sentence processing by using eye-trackers.

Lu Yu

Lu Yu is a postgraduate student specializing in interpretation studies at School of Interpreting and Translation Studies, Guangdong University of Foreign Studies. She will soon graduate and be an interpreter with a cross-boarder business firm.

Jia Liu

Jia Liu is now studying at Beijing Foreign Studies University for her doctorate in Linguistics and Applied Linguistics. She has been devoted to the investigation of emotion word processing by using event-related potential technique.