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L2 transfer of L1 island-insensitivity

The case of Norwegian

Datos Bibliográficos

ID11655948
AutoresDave Kush (0000-0002-2567-6440, University of Toronto, Canada, and NTNU – Norwegian University of Science and Technology, Norway, autor de correspondencia), Anne Dahl (0000-0002-6413-4193, NTNU – Norwegian University of Science and Technology, Norway)
Año2020
Volumen38
Número2
Páginas315-346
Fecha de publicación2020-09-15
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSecond language Research (JOURNAL)
Identificadores de la revistaISSN: 0267-6583 • E-ISSN: 1477-0326
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/0267658320956704
OpenAlexW3087656491
IdiomaEN
Citas recibidas18
Referencias citadas62

Norwegian allows filler-gap dependencies into embedded questions, which are islands for filler-gap dependency formation in English. We ask whether there is evidence that Norwegian learners of English transfer the functional structure that permits island violations from their first language (L1) to their second language (L2). In two acceptability judgment studies, we find that Norwegians are more likely to accept ‘island-violating’ filler-gap dependencies in L2 English if the corresponding filler-gap dependency is acceptable in Norwegian: Norwegian learners variably accept English sentences with dependencies into embedded questions, but not into subject phrases. These results are consistent with models that permit transfer of abstract functional structure. Norwegians are still less likely to accept filler-gap dependencies into English embedded questions than Norwegian embedded questions. We interpret the latter finding as evidence that, despite transfer, Norwegian speakers may partially restructure their L2 English analysis. We discuss how indirect positive evidence may play a role in helping learners restructure

Dependency (UML · Filler (materials · Linguistics · Norwegian · Political science · Restructuring · Computer Science · Engineering · Law · Linguistic Variation and Morphology · Philosophy · Phonetics and Phonology Research · Psychology · Syntax, Semantics, Linguistic Variation · Artificial Intelligence

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Obras citantes distintas18
Citas por año3
Intervalo de citas2020 - 2026 (7)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 17
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