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Related Experiment Videos

Lexical structure in Parsing long-distance dependencies.

M K Tanenhaus1, J Boland, S M Garnsey

  • 1Department of Psychology, University of Rochester, New York 14627.

Journal of Psycholinguistic Research
|January 1, 1989
PubMed
Summary

Lexical influences impact sentence parsing, affecting how we understand long-distance dependencies. Verb transitivity and plausibility guide immediate interpretation of sentence structures.

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Area of Science:

  • Psycholinguistics
  • Computational Linguistics
  • Cognitive Science

Background:

  • Understanding sentence parsing is crucial for cognitive science.
  • Long-distance dependencies pose challenges for real-time language processing.
  • Lexical properties of verbs significantly influence syntactic ambiguity resolution.

Purpose of the Study:

  • To investigate the role of lexical information in parsing sentences with long-distance dependencies.
  • To determine how verb transitivity and object plausibility affect sentence comprehension.
  • To examine the immediate use of verb control information in interpreting complex grammatical structures.

Main Methods:

  • Review of experimental studies on sentence parsing.
  • Analysis of grammatical structures involving long-distance dependencies.

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  • Examination of verb transitivity and complementation patterns.
  • Main Results:

    • Gaps are posited after transitive verbs, even with implausible objects, but not after intransitive verbs.
    • Plausibility influences filler-verb object assignment for verbs with direct object and infinitive complements.
    • Verb control information is immediately used to identify the understood subject of infinitive complements.

    Conclusions:

    • Lexical factors, including verb transitivity and plausibility, play an immediate and significant role in sentence parsing.
    • The brain rapidly utilizes lexical cues to resolve syntactic ambiguities in sentences with long-distance dependencies.
    • These findings advance our understanding of the interplay between lexicon and syntax in real-time language comprehension.