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Visualizing the knowledge domain of code-switching: a bibliometric review
Interdisciplinary Science Reviews ( IF 1.0 ) Pub Date : 2021-07-27 , DOI: 10.1080/03080188.2021.1945283
Xiaoping Liu 1 , Lu Yu 2 , Jia Liu 3
Affiliation  

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.



中文翻译:

代码转换知识域的可视化:文献计量学评论

摘要

代码转换 (CS) 在双语交流中很普遍。本文使用文献计量方法 CiteSpace,概述了从 Web of Science 中选择的 CS 上的 1319 条文献计量记录(1998-2018)。构建了这些出版物的共现关键词网络和共引网络。对高频关键词、文献共引、共引参考集群、具有中心性介数的出版物和引文爆发进行了分析。结果表明,CS研究的领域已经从最初关注词汇/概念方面扩展到今天对语言接触、语言控制、系统教学法等的深入探索。 与“多模态”、“跨语言”相关的话题,

更新日期:2021-07-27
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