Visual word recognition of multisyllabic words

The visual word recognition literature has been dominated by the study of monosyllabic words in factorial experiments, computational models, and megastudies. However, it is not yet clear whether the behavioral effects reported for monosyllabic words generalize reliably to multisyllabic words. Hierar...

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Published inJournal of memory and language Vol. 60; no. 4; pp. 502 - 529
Main Authors Yap, Melvin J., Balota, David A.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Inc 01.05.2009
Elsevier
Elsevier BV
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Abstract The visual word recognition literature has been dominated by the study of monosyllabic words in factorial experiments, computational models, and megastudies. However, it is not yet clear whether the behavioral effects reported for monosyllabic words generalize reliably to multisyllabic words. Hierarchical regression techniques were used to examine the effects of standard variables (phonological onsets, stress pattern, length, orthographic N, phonological N, word frequency) and additional variables (number of syllables, feedforward and feedback phonological consistency, novel orthographic and phonological similarity measures, semantics) on the pronunciation and lexical decision latencies of 6115 monomorphemic multisyllabic words. These predictors accounted for 61.2% and 61.6% of the variance in pronunciation and lexical decision latencies, respectively, higher than the estimates reported by previous monosyllabic studies. The findings we report represent a well-specified set of benchmark phenomena for constraining nascent multisyllabic models of English word recognition.
AbstractList The visual word recognition literature has been dominated by the study of monosyllabic words in factorial experiments, computational models, and megastudies. However, it is not yet clear whether the behavioral effects reported for monosyllabic words generalize reliably to multisyllabic words. Hierarchical regression techniques were used to examine the effects of standard variables (phonological onsets, stress pattern, length, orthographic N, phonological N, word frequency) and additional variables (number of syllables, feedforward and feedback phonological consistency, novel orthographic and phonological similarity measures, semantics) on the pronunciation and lexical decision latencies of 6115 monomorphemic multisyllabic words. These predictors accounted for 61.2% and 61.6% of the variance in pronunciation and lexical decision latencies, respectively, higher than the estimates reported by previous monosyllabic studies. The findings we report represent a well-specified set of benchmark phenomena for constraining nascent multisyllabic models of English word recognition. [Copyright Elsevier Inc.]
The visual word recognition literature has been dominated by the study of monosyllabic words in factorial experiments, computational models, and megastudies. However, it is not yet clear whether the behavioral effects reported for monosyllabic words generalize reliably to multisyllabic words. Hierarchical regression techniques were used to examine the effects of standard variables (phonological onsets, stress pattern, length, orthographic N, phonological N, word frequency) and additional variables (number of syllables, feedforward and feedback phonological consistency, novel orthographic and phonological similarity measures, semantics) on the pronunciation and lexical decision latencies of 6115 monomorphemic multisyllabic words. These predictors accounted for 61.2% and 61.6% of the variance in pronunciation and lexical decision latencies, respectively, higher than the estimates reported by previous monosyllabic studies. The findings we report represent a well-specified set of benchmark phenomena for constraining nascent multisyllabic models of English word recognition.
The visual word recognition literature has been dominated by the study of "monosyllabic" words in factorial experiments, computational models, and megastudies. However, it is not yet clear whether the behavioral effects reported for monosyllabic words generalize reliably to "multisyllabic" words. Hierarchical regression techniques were used to examine the effects of standard variables (phonological onsets, stress pattern, length, orthographic N, phonological N, word frequency) and additional variables (number of syllables, feedforward and feedback phonological consistency, novel orthographic and phonological similarity measures, semantics) on the pronunciation and lexical decision latencies of 6115 monomorphemic multisyllabic words. These predictors accounted for 61.2% and 61.6% of the variance in pronunciation and lexical decision latencies, respectively, higher than the estimates reported by previous monosyllabic studies. The findings we report represent a well-specified set of benchmark phenomena for constraining nascent multisyllabic models of English word recognition. (Contains 11 figures and 9 tables.)
The visual word recognition literature has been dominated by the study of monosyllabic words in factorial experiments, computational models, and megastudies. However, it is not yet clear whether the behavioral effects reported for monosyllabic words generalize reliably to multisyllabic words. Hierarchical regression techniques were used to examine the effects of standard variables (phonological onsets, stress pattern, length, orthographic N, phonological N, word frequency) and additional variables (number of syllables, feedforward and feedback phonological consistency, novel orthographic and phonological similarity measures, semantics) on the pronunciation and lexical decision latencies of 6115 monomorphemic multisyllabic words. These predictors accounted for 61.2% and 61.6% of the variance in pronunciation and lexical decision latencies, respectively, higher than the estimates reported by previous monosyllabic studies. The findings we report represent a well-specified set of benchmark phenomena for constraining nascent multisyllabic models of English word recognition. [PUBLICATION ABSTRACT]
Author Yap, Melvin J.
Balota, David A.
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Issue 4
Keywords Speeded pronunciation
Megastudies
Multisyllabic words
Computational models
Lexical decision
Visual word recognition
Human
Word
Pronunciation
Cognition
Verbal perception
Velocity
Reading
Language
Vision
Simulation model
Recognition
Language English
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Snippet The visual word recognition literature has been dominated by the study of monosyllabic words in factorial experiments, computational models, and megastudies....
The visual word recognition literature has been dominated by the study of "monosyllabic" words in factorial experiments, computational models, and megastudies....
The visual word recognition literature has been dominated by the study of monosyllabic words in factorial experiments, computational models, and megastudies....
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SubjectTerms Biological and medical sciences
Cognition & reasoning
Computational models
Eyes & eyesight
Fundamental and applied biological sciences. Psychology
Language
Lexical decision
Megastudies
Multisyllabic words
Perception
Phonology
Production and perception of written language
Pronunciation
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Semantics
Sensory perception
Speeded pronunciation
Syllables
Vision
Visual word recognition
Word Frequency
Word Recognition
Title Visual word recognition of multisyllabic words
URI https://dx.doi.org/10.1016/j.jml.2009.02.001
http://eric.ed.gov/ERICWebPortal/detail?accno=EJ834323
https://www.proquest.com/docview/215042811
https://search.proquest.com/docview/85620329
Volume 60
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