Web of Science: 13 citas, Scopus: 13 citas, Google Scholar: citas,
Wh-filler-gap dependency formation guides reflexive antecedent search
Frazier, Michael (Northwestern University. Department of Linguistics)
Ackerman, Lauren (Northwestern University. Department of Linguistics)
Baumann, Peter (Northwestern University. Department of Linguistics)
Potter, David (Northwestern University. Department of Linguistics)
Yoshida, Masaya (Universitat Autònoma de Barcelona. Departament de Filologia Catalana)

Fecha: 2015
Descripción: 19 pàg.
Resumen: Prior studies on online sentence processing have shown that the parser can resolve non-local dependencies rapidly and accurately. This study investigates the interaction between the processing of two such non-local dependencies: wh-filler-gap dependencies (WhFGD) and reflexive-antecedent dependencies. We show that reflexive-antecedent dependency resolution is sensitive to the presence of a WhFGD, and argue that the filler-gap dependency established by WhFGD resolution is selected online as the antecedent of a reflexive dependency. We investigate the processing of constructions like (1), where two NPs might be possible antecedents for the reflexive, namely which cowgirl and Mary. Even though Mary is linearly closer to the reflexive, the only grammatically licit antecedent for the reflexive is the more distant wh-NP, which cowgirl.
Derechos: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Lengua: Anglès
Documento: Article ; recerca ; Versió publicada
Materia: Reflexive antecedent search ; Filler-gap dependency resolution ; Structure-sensitivity ; Gender mismatch effect ; Eye-tracking ; Text-reading
Publicado en: Frontiers in psychology, Vol. 6 (2015) , p. 1504-19, ISSN 1664-1078

DOI: 10.3389/fpsyg.2015.01504
PMID: 26500579


19 p, 817.5 KB

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