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The plasticity of lexical selection mechanism in word production: ERP evidence from short-term language switching training in unbalanced Chinese–English bilinguals

Published online by Cambridge University Press:  28 March 2017

CHUNYAN KANG ,
FENGYANG MA  and
TAOMEI GUO
CHUNYAN KANG
Affiliation:
State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
FENGYANG MA
Affiliation:
School of Education, University of Cincinnati, Cincinnati, OH, USA
TAOMEI GUO*
Affiliation:
State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P. R. China
*
Address for correspondence: Taomei Guo, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, P. R. China[email protected]
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Abstract

The present study examined the plasticity of the lexical selection mechanism in bilingual word production by training a group of unbalanced Chinese–English bilinguals with a language switching task. The experimental group received an 8-day language switching training, while the control group received no training. Before and after training, the behavioral and event-related potential (ERP) data of both groups in a cued picture naming task were collected. ERP results revealed a training effect such that after training, the N2 peak latency in cue-locked ERPs was shortened only in the experimental group. These results suggest that short-term language switching experience could improve the efficiency to establish the target language task schema, and that the language control mechanism of word production in unbalanced bilinguals could be modulated by language switching experience.

Keywords

word productionlexical selection mechanismlanguage controlplasticity
Type
Research Article
Information
Bilingualism: Language and Cognition , Volume 21 , Issue 2 , March 2018 , pp. 296 - 313
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Copyright
Copyright © Cambridge University Press 2017 

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Footnotes

*The study was supported by the National Natural Science Foundation of China (31170970), the National Key Basic Research Program of China (2014CB846102), and the Fundamental Research Funds for the Central Universities to Taomei Guo. The authors would like to thank Junjie Wu, Di Lu, Jie Lin, Yongben Fu for data collection, Kinsey Bice for proofreading, and the two anonymous reviewers and Prof. Iring Koch for their valuable comments.

Supplementary material can be found online at https://dx.doi.org/10.1017/S1366728917000037

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