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http://hdl.handle.net/10397/92404
Title: | A network science approach to bilingual code-switching | Authors: | Xu, Q Markowska, M Chodorow, M Li, P |
Issue Date: | 2021 | Source: | Proceedings of the Society for Computation in Linguistics, 2021, v. 4 , 3. | Abstract: | 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. | Publisher: | Society for Computation in Linguistics | Journal: | Proceedings of the Society for Computation in Linguistics | DOI: | 10.7275/raze-1b18 | Description: | Society for Computation in Linguistics 2021 (SCiL 2021), February 15–19, 2021, Virtually | Rights: | Posted with permission of the author. |
Appears in Collections: | Conference Paper |
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File | Description | Size | Format | |
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A Network Science Approach to Bilingual Code-switching.pdf | 729.56 kB | Adobe PDF | View/Open |
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