A Network Science Approach to Bilingual Code-switching

Qihui Xu, Magdalena Markowska, Martin Chodorow, Ping Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic research


Previous research has shown that the structure of the semantic network can influence language production, such that a word with low clustering coefficient (C) is more easily retrieved than a word with high C. In this study, we used a network science approach to examine whether the network structure accounts for why bilinguals code-switch. We established semantic networks for words in each language, then measured the C for each code-switched word and its translated equivalent. The results showed that words where language is switched
have lower C than their translated equivalents in the other language, suggesting that the structures of the lexicons in the two languages play an important role in bilingual code-switching speech
Original languageEnglish
Title of host publicationProceedings of the Society for Computation in Linguistics 2021
PublisherSociety for Computation in Linguistics (SCiL)
Number of pages10
Publication statusPublished - Feb 2021


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