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Do resource constraints affect lexical processing? Evidence from eye movements.

Mallorie Leinenger1, Mark Myslín2, Keith Rayner1

  • 1Department of Psychology, University of California, San Diego.

Journal of Memory and Language
|May 16, 2017
PubMed
Summary
This summary is machine-generated.

Understanding human language ambiguity is key. This study found that resolving word meaning difficulty depends on the meaning itself, not the surrounding text length, challenging some cognitive models.

Keywords:
digging-in effectseye movementslexical ambiguityreading

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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Human Cognition

Background:

  • Human language comprehension involves resolving lexical ambiguity efficiently.
  • Previous research on cognitive resource constraints during ambiguity resolution yielded conflicting findings.

Purpose of the Study:

  • To investigate cognitive resource constraints during lexical ambiguity resolution.
  • To test the influence of intervening text length on resolving homograph meanings.

Main Methods:

  • Two experiments using eye-tracking methodology.
  • Embedding moderately biased homographs in sentences with varying text lengths before disambiguation.
  • Analyzing disambiguation to dominant versus subordinate interpretations.

Main Results:

  • The length of intervening text did not affect the ease of ambiguity resolution.
  • Disambiguating to the subordinate meaning of a homograph was consistently more difficult.
  • Results support probabilistic and reordered access models of language comprehension.

Conclusions:

  • Cognitive resource limitations do not appear to constrain lexical ambiguity resolution in the manner suggested by capacity-constrained models.
  • The difficulty in resolving ambiguity is primarily driven by the nature of the meaning accessed (dominant vs. subordinate).