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The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual

The current study investigated the mental lexicon features of the Hakka-Mandarin dialect bilingual from two perspectives: the structural features of lexicons and the relations between lexicons. Experiment one used a semantic fluency task and complex-network analysis to observe the structural feature...

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Detalles Bibliográficos
Autores principales: Chen, Yao, Zhou, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775871/
https://www.ncbi.nlm.nih.gov/pubmed/36552088
http://dx.doi.org/10.3390/brainsci12121629
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author Chen, Yao
Zhou, Rong
author_facet Chen, Yao
Zhou, Rong
author_sort Chen, Yao
collection PubMed
description The current study investigated the mental lexicon features of the Hakka-Mandarin dialect bilingual from two perspectives: the structural features of lexicons and the relations between lexicons. Experiment one used a semantic fluency task and complex-network analysis to observe the structural features of lexicons. Experiment two used a cross-language long-term repetition priming paradigm to explore the relations between lexicons, with three sub-experiments focusing on conceptual representation, lexical representation, and their relations, respectively. The results from experiment one showed that the dialect bilingual lexicons were small-world in nature, and the D2 (Mandarin) lexicon was better organized than the D1 (Hakka) lexicon. Experiment two found that D1 and D2 might have partially shared conceptual representations, separate lexical form representations, and partially shared lemma representations. Based on the findings, we tentatively proposed a two-layer activation model to simulate the lexicon features of dialect bilingual speakers.
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spelling pubmed-97758712022-12-23 The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual Chen, Yao Zhou, Rong Brain Sci Article The current study investigated the mental lexicon features of the Hakka-Mandarin dialect bilingual from two perspectives: the structural features of lexicons and the relations between lexicons. Experiment one used a semantic fluency task and complex-network analysis to observe the structural features of lexicons. Experiment two used a cross-language long-term repetition priming paradigm to explore the relations between lexicons, with three sub-experiments focusing on conceptual representation, lexical representation, and their relations, respectively. The results from experiment one showed that the dialect bilingual lexicons were small-world in nature, and the D2 (Mandarin) lexicon was better organized than the D1 (Hakka) lexicon. Experiment two found that D1 and D2 might have partially shared conceptual representations, separate lexical form representations, and partially shared lemma representations. Based on the findings, we tentatively proposed a two-layer activation model to simulate the lexicon features of dialect bilingual speakers. MDPI 2022-11-28 /pmc/articles/PMC9775871/ /pubmed/36552088 http://dx.doi.org/10.3390/brainsci12121629 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Yao
Zhou, Rong
The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual
title The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual
title_full The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual
title_fullStr The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual
title_full_unstemmed The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual
title_short The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual
title_sort mental lexicon features of the hakka-mandarin dialect bilingual
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775871/
https://www.ncbi.nlm.nih.gov/pubmed/36552088
http://dx.doi.org/10.3390/brainsci12121629
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