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Title: Visual word recognition of multisyllabic words
Authors: Yap, M.J. 
Balota, D.A.
Keywords: Computational models
Lexical decision
Multisyllabic words
Speeded pronunciation
Visual word recognition
Issue Date: 2009
Citation: Yap, M.J., Balota, D.A. (2009). Visual word recognition of multisyllabic words. Journal of Memory and Language 60 (4) : 502-529. ScholarBank@NUS Repository.
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. © 2009 Elsevier Inc. All rights reserved.
Source Title: Journal of Memory and Language
ISSN: 0749596X
DOI: 10.1016/j.jml.2009.02.001
Appears in Collections:Staff Publications

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