University of Leicester
Browse

Online representations of non-canonical sentences are more than good-enough

Download (178.76 kB)
journal contribution
posted on 2021-06-09, 11:41 authored by Michael Cutter, Kevin Paterson, Ruth Filik
Proponents of good-enough processing suggest that readers often (mis)interpret certain sentences using fast-and-frugal heuristics, such that for non-canonical sentences (e.g., The dog was bitten by the man) people confuse the thematic roles of the nouns. We tested this theory by examining the effect of sentence canonicality on the reading of a follow-up sentence. In a self-paced reading study, 60 young and 60 older adults read an implausible sentence in either canonical (e.g., It was the peasant that executed the king) or non-canonical form (e.g., It was the king that was executed by the peasant), followed by a sentence that was implausible given a good-enough misinterpretation of the first sentence (e.g., Afterwards, the peasant rode back to the countryside) or a sentence that was implausible given a correct interpretation of the first sentence (e.g., Afterwards, the king rode back to his castle). We hypothesised that if non-canonical sentences are systematically misinterpreted, then sentence canonicality would differentially affect the reading of the two different follow-up types. Our data suggested that participants derived the same interpretations for canonical and non-canonical sentences, with no modulating effect of age group. Our findings suggest that readers do not derive an incorrect interpretation of non-canonical sentences during initial parsing, consistent with theories of misinterpretation effects that instead attribute these effects to post-interpretative processes.<br>

Funding

Leverhulme Trust Research Project Grant RPG-2019-051

History

Author affiliation

Department of Neuroscience, Psychology and Behaviour, College of Life Sciences

Version

  • AM (Accepted Manuscript)

Published in

Quarterly Journal of Experimental Psychology

Publisher

SAGE Publications

issn

1747-0218

Acceptance date

2021-05-20

Copyright date

2021

Available date

2021-08-18

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC