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Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
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Frequency and predictability effects for line-final words.

Adam J Parker1, Timothy J Slattery2

  • 1Division of Psychology and Language Sciences, Department of Experimental Psychology, University College London.

Journal of Experimental Psychology. Human Perception and Performance
|January 9, 2025
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Summary
This summary is machine-generated.

Computational reading models are limited to single lines. This study found line-final words are read faster, with additive frequency and predictability effects, suggesting model improvements are needed for multiline reading.

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Area of Science:

  • Cognitive Psychology
  • Computational Linguistics
  • Psycholinguistics

Background:

  • Computational models of eye movement control in reading are crucial for understanding visual, perceptual, and linguistic processes.
  • Current models are limited to simulating single-line text, hindering the study of multiline reading dynamics.

Purpose of the Study:

  • To investigate how lexical processing variables (word frequency and predictability) influence the processing of line-final words in reading.
  • To evaluate the suitability of current computational reading models for multiline text by examining line-final word processing.

Main Methods:

  • Linear mixed-effects analysis of the Provo Corpus (84 readers, 55 texts).
  • A preregistered eye movement experiment (32 participants, 128 items) orthogonally manipulating frequency, predictability, and word position (intraline vs. line-final).

Main Results:

  • Both studies showed significantly shorter reading times for line-final words.
  • Experimental data confirmed additive effects of word frequency and predictability for line-final words, comparable to intraline words.

Conclusions:

  • Current computational models may benefit from additive assumptions regarding frequency and predictability.
  • Additional model assumptions are necessary to account for the observed reduction in reading times for line-final words in multiline text.