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Title: Modeling bilingual lexical processing through code-switching speech : a network science approach
Authors: Xu, Q
Markowska, M
Chodorow, M
Li, P 
Issue Date: Aug-2021
Source: Frontiers in psychology, Aug. 2021, v. 12, 662409
Abstract: The study of code-switching (CS) speech has produced a wealth of knowledge in the understanding of bilingual language processing and representation. Here, we approach this issue by using a novel network science approach to map bilingual spontaneous CS speech. In Study 1, we constructed semantic networks on CS speech corpora and conducted community detections to depict the semantic organizations of the bilingual lexicon. The results suggest that the semantic organizations of the two lexicons in CS speech are largely distinct, with a small portion of overlap such that the semantic network community dominated by each language still contains words from the other language. In Study 2, we explored the effect of clustering coefficients on language choice during CS speech, by comparing clustering coefficients of words that were code-switched with their translation equivalents (TEs) in the other language. The results indicate that words where the language is switched have lower clustering coefficients than their TEs in the other language. Taken together, we show that network science is a valuable tool for understanding the overall map of bilingual lexicons as well as the detailed interconnections and organizations between the two languages.
Keywords: Code-switching speech
Bilingual lexicon
Network science
Community detection
Clustering coefficient
Computational linguistics
Publisher: Frontiers Research Foundation
Journal: Frontiers in psychology 
EISSN: 1664-1078
DOI: 10.3389/fpsyg.2021.662409
Description: Corrigendum : Modeling bilingual lexical processing through code-switching speech : a network science approach
http://ira.lib.polyu.edu.hk//handle/10397/91823
Rights: © 2021 Xu, Markowska, Chodorow and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
The following publication Xu Q, Markowska M, Chodorow M and Li P (2021) Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach. Front. Psychol. 12: 662409 is available at https://doi.org/10.3389/fpsyg.2021.662409
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