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  Modeling of word translation: Activation flow from concepts to lexical items

Roelofs, A., Dijkstra, T., & Gerakaki, S. (2013). Modeling of word translation: Activation flow from concepts to lexical items. Bilingualism: Language and Cognition, 16, 343-353. doi:10.1017/S1366728912000612.

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 Urheber:
Roelofs, Ardi1, Autor           
Dijkstra, Ton2, Autor
Gerakaki, Svetlana2, 3, 4, Autor           
Affiliations:
1Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              
2Radboud University Nijmegen, Nijmegen, NL, ou_persistent22              
3International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_1119545              
4Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792545              

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 Zusammenfassung: Whereas most theoretical and computational models assume a continuous flow of activation from concepts to lexical items in spoken word production, one prominent model assumes that the mapping of concepts onto words happens in a discrete fashion (Bloem & La Heij, 2003). Semantic facilitation of context pictures on word translation has been taken to support the discrete-flow model. Here, we report results of computer simulations with the continuous-flow WEAVER++ model (Roelofs, 1992, 2006) demonstrating that the empirical observation taken to be in favor of discrete models is, in fact, only consistent with those models and equally compatible with more continuous models of word production by monolingual and bilingual speakers. Continuous models are specifically and independently supported by other empirical evidence on the effect of context pictures on native word production.

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Sprache(n): eng - English
 Datum: 2011201220122013
 Publikationsstatus: Erschienen
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1017/S1366728912000612
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Titel: Bilingualism: Language and Cognition
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Cambridge University Press / UK
Seiten: - Band / Heft: 16 Artikelnummer: - Start- / Endseite: 343 - 353 Identifikator: ISSN: 1366-7289
CoNE: https://pure.mpg.de/cone/journals/resource/954925343779