Literature DB >> 29152525

Do you what I say? People reconstruct the syntax of anomalous utterances.

Iva Ivanova1, Holly P Branigan2, Janet F McLean2, Albert Costa3,4, Martin J Pickering2.   

Abstract

We frequently experience and successfully process anomalous utterances. Here we examine whether people do this by 'correcting' syntactic anomalies to yield well-formed representations. In two structural priming experiments, participants' syntactic choices in picture description were influenced as strongly by previously comprehended anomalous (missing-verb) prime sentences as by well-formed prime sentences. Our results suggest that comprehenders can reconstruct the constituent structure of anomalous utterances - even when such utterances lack a major structural component such as the verb. These results also imply that structural alignment in dialogue is unaffected if one interlocutor produces anomalous utterances.

Entities:  

Keywords:  anomalous sentences; language comprehension; missing verbs; reconstruction; sentence processing; structural priming

Year:  2016        PMID: 29152525      PMCID: PMC5685527          DOI: 10.1080/23273798.2016.1236976

Source DB:  PubMed          Journal:  Lang Cogn Neurosci        ISSN: 2327-3798            Impact factor:   2.331


  43 in total

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3.  Expectation-based syntactic comprehension.

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4.  The misinterpretation of noncanonical sentences.

Authors:  Fernanda Ferreira
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6.  Does verb bias modulate syntactic priming?

Authors:  Sarah Bernolet; Robert J Hartsuiker
Journal:  Cognition       Date:  2010-01-19

7.  A case study of anomaly detection: shallow semantic processing and cohesion establishment.

Authors:  S B Barton; A J Sanford
Journal:  Mem Cognit       Date:  1993-07

8.  Reading senseless sentences: brain potentials reflect semantic incongruity.

Authors:  M Kutas; S A Hillyard
Journal:  Science       Date:  1980-01-11       Impact factor: 47.728

9.  To err is human; to structurally prime from errors is also human.

Authors:  L Robert Slevc; Victor S Ferreira
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2012-07-30       Impact factor: 3.051

Review 10.  Trends in syntactic parsing: anticipation, Bayesian estimation, and good-enough parsing.

Authors:  Matthew J Traxler
Journal:  Trends Cogn Sci       Date:  2014-09-05       Impact factor: 20.229

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