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Related Experiment Videos

Modeling lexical decision and word naming as a retrieval process.

P J Kwantes1, D J Mewhort

  • 1Department of Psychology, Queen's University, Kingston, Ontario. doug@ebbinghaus.psyc.queensu.ca

Canadian Journal of Experimental Psychology = Revue Canadienne De Psychologie Experimentale
|January 26, 2000
PubMed
Summary

Complex patterns in word recognition arise from information retrieval within a reader's lexicon, not predefined rules. A large-scale lexicon model successfully predicts naming and lexical decision behaviors.

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Area of Science:

  • Cognitive Psychology
  • Computational Linguistics
  • Psycholinguistics

Background:

  • Rule-like phenomena in word recognition tasks like naming and lexical decision have traditionally been explained by innate or learned processing rules.
  • An alternative perspective suggests these phenomena emerge from the statistical properties of the lexicon itself.

Purpose of the Study:

  • To investigate whether complex patterns in word recognition tasks can be explained by information retrieval from a large-scale lexicon.
  • To test if simple retrieval operations on a scaled lexicon can predict observed interactions and effects in naming and lexical decision.

Main Methods:

  • Developed a lexicon model designed to scale with a large corpus of words.
  • Applied simple retrieval operations to this lexicon to simulate word recognition processes.

Related Experiment Videos

  • Analyzed model predictions against established empirical findings in naming and lexical decision tasks.

    • Main Results:

    • The scaled lexicon model successfully predicted the interaction of word frequency and spelling-to-sound regularity in naming.
    • A main effect of word frequency in lexical decision was accurately predicted.
    • Sensitivity to orthographically defined syllable-like structures in lexical decision was observed.
    • An interaction between the number of syllables and word frequency in naming was also correctly predicted.

    Conclusions:

    • Rule-like phenomena in word recognition are likely emergent properties of information retrieval from the lexicon.
    • The statistical correlations within a reader's lexicon, rather than explicit mapping rules, account for complex performance patterns.
    • A scaled lexicon model provides a viable framework for understanding word recognition processes.