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Can prediction and retrodiction explain whether frequent multi-word phrases are accessed 'precompiled' from memory or compositionally constructed on the fly?
Onnis, Luca; Huettig, Falk.
Afiliação
  • Onnis L; School of Social Sciences, University of Genoa, Genoa, Italy.
  • Huettig F; Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; Centre for Language Studies, Radboud University, Nijmegen, The Netherlands.
Brain Res ; 1772: 147674, 2021 12 01.
Article em En | MEDLINE | ID: mdl-34606750
ABSTRACT
An important debate on the architecture of the language faculty has been the extent to which it relies on a compositional system that constructs larger units from morphemes to words to phrases to utterances on the fly and in real time using grammatical rules; or a system that chunks large preassembled, stored units of language from memory; or some combination of both approaches. Good empirical evidence exists for both 'computed' and 'large stored' forms in language, but little is known about what shapes multi-word storage/ access or compositional processing. Here we explored whether predictive and retrodictive processes are a likely determinant of multi-word storage/ processing. Our results suggest that forward and backward predictability are independently informative in determining the lexical cohesiveness of multi-word phrases. In addition, our results call for a reevaluation of the role of retrodiction in contemporary language processing accounts (cf. Ferreira and Chantavarin, 2018).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicolinguística / Idioma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brain Res Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicolinguística / Idioma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brain Res Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália
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