Evidence map›Paper›PMID 36552088›Full record

ArticleBrain sciences2022

The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual.

Yao Chen, Rong Zhou

Abstract read
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Yao ChenSchool of Foreign Studies, South China Normal University, 55 West Zhongshan Ave, Tianhe District, Guangzhou 510631, China.ORCID 0000-0002-7942-7642
Rong ZhouThe Center for Language Cognition and Assessment, School of Foreign Studies, South China Normal University, 55 West Zhongshan Ave, Tianhe District, Guangzhou 510631, China.

Funding

national social science foundation in China 10BYY002
6 · The paper itself

Abstract

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.

Indexed as

complex-network analysiscross-language long-term repetition primingdialect bilingual speakersmental lexiconsemantic fluency task

Identifiers

PMID36552088
PMCPMC9775871

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.