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 in | Journal of memory and language Vol. 60; no. 4; pp. 502 - 529 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier Inc
01.05.2009
Elsevier Elsevier BV |
Subjects | |
Online Access | Get full text |
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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. |
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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. |
Author_xml | – sequence: 1 givenname: Melvin J. surname: Yap fullname: Yap, Melvin J. email: melvin@nus.edu.sg organization: Department of Psychology, Faculty of Arts and Social Sciences, National University of Singapore, Block AS4, #02-07, Singapore 117570, Republic of Singapore – sequence: 2 givenname: David A. surname: Balota fullname: Balota, David A. organization: Department of Psychology, Washington University in St. Louis, MO 63130, United States |
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Copyright | 2009 Elsevier Inc. 2009 INIST-CNRS Copyright © 2009 Elsevier B.V. All rights reserved. |
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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 |
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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 |
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