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
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 language | English |
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Title of host publication | Proceedings of the Society for Computation in Linguistics 2021 |
Publisher | Society for Computation in Linguistics (SCiL) |
Pages | 18-27 |
Number of pages | 10 |
Volume | 4 |
Publication status | Published - Feb 2021 |