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L1 Korean and L1 Mandarin L2 English learners’ acquisition of the count/mass distinction in English

Dados Bibliográficos

ID11655990
AutoresSea Hee Choi (0000-0002-9330-5131, University of Illinois at Urbana-Champaign, USA, autor correspondente), Tania Ionin (0000-0002-4360-8644, University of Illinois at Urbana-Champaign, USA), Yeqiu Zhu (Nanjing University)
Ano2017
Volume34
Fascículo2
Páginas147-177
Data de publicação2017-07-28
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSecond language Research (JOURNAL)
Identificadores do periódicoISSN: 0267-6583 • E-ISSN: 1477-0326
EditoraSAGE Publishing (PUBLISHER • US)
DOI10.1177/0267658317717581
OpenAlexW2740133492
IdiomaEN
Citações recebidas10
Referências citadas41

This study investigates the second language (L2) acquisition of the English count/mass distinction by speakers of Korean and Mandarin Chinese, with a focus on the semantics of atomicity. It is hypothesized that L1-Korean and L1-Mandarin L2-English learners are influenced by atomicity in the use of the count/mass morphosyntax in English. This hypothesis is tested in two experiments, one comparing Korean and Mandarin speakers in their L2 (English) and the other investigating count/mass morphosyntax in native Korean and Mandarin Chinese. In both experiments, participants are tested on their suppliance of plural marking with count and mass NPs. The findings are fully consistent with the view of atomicity as a semantic universal: learners overuse plural marking with mass atomic nouns such as furniture more than with mass non-atomic nouns such as water. Even though plural marking is associated with atomicity in Korean but not in Mandarin, the same patterns are observed in L1-Korean and L1-Mandarin L2-English learners. We conclude that learners’ performance is not due to L1-transfer, but rather to the role of the semantic universal of atomicity in L2-acquisition

Atomicity · Definiteness · First language · Linguistics · Mandarin Chinese · Noun · Plural · Semantics (computer science · Categorization, perception, and language · Computer Science · Language, Metaphor, and Cognition · Psychology · Syntax, Semantics, Linguistic Variation

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Obras citantes distintas10
Citações por ano2
Intervalo de citações2021 - 2026 (6)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 10
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