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Related Experiment Videos

When parallel processing in visual word recognition is not enough: new evidence from naming.

Martha Anne Roberts1, Kathleen Rastle, Max Coltheart

  • 1Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada. ma3rober@watarts.uwaterloo.ca

Psychonomic Bulletin & Review
|August 19, 2003
PubMed
Summary

The regularity effect in word reading shows that irregular words are slower to name. New data confirm that early word irregularities incur a greater naming cost, supporting rule-based serial processing models.

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Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Psycholinguistics

Background:

  • The regularity effect describes slower, more error-prone naming of low-frequency irregular words compared to regular words.
  • Previous research indicated this effect is modulated by the serial position of irregular grapheme-phoneme correspondences, with early irregularities causing a larger cost.
  • This finding was interpreted as evidence for rule-based serial processing in reading aloud, supported by the DRC model.

Purpose of the Study:

  • To investigate whether human reading aloud data necessitate rule-based serial processing or can be explained by alternative models.
  • To present new data on the interaction between regularity and the serial position of irregularity in word naming.
  • To test the ability of computational models, including the DRC model, to simulate these new findings.

Related Experiment Videos

Main Methods:

  • Human participants performed a word naming task, with data analyzed for regularity effects and their modulation by the serial position of irregularities.
  • Computational models of reading aloud, including the DRC model (rule-based serial processing) and other parallel or non-rule-based serial models, were used for simulation.
  • The models' ability to replicate the observed interaction between regularity and serial position was assessed.

Main Results:

  • New behavioral data replicated the interaction between regularity and the serial position of irregularity in human word naming.
  • The DRC model successfully simulated this interaction, consistent with its rule-based serial processing architecture.
  • Other implemented computational models failed to account for the observed interaction.

Conclusions:

  • The findings provide evidence supporting rule-based serial processing in the cognitive architecture of reading aloud.
  • The interaction between regularity and serial position is a critical factor that distinguishes between different computational models of reading.
  • The DRC model's success in simulating the data strengthens the case for serial, rule-based mechanisms in reading aloud.