Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jml.2009.02.001
Title: Visual word recognition of multisyllabic words
Authors: Yap, M.J. 
Balota, D.A.
Keywords: Computational models
Lexical decision
Megastudies
Multisyllabic words
Speeded pronunciation
Visual word recognition
Issue Date: 2009
Source: 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. https://doi.org/10.1016/j.jml.2009.02.001
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
URI: http://scholarbank.nus.edu.sg/handle/10635/22238
ISSN: 0749596X
DOI: 10.1016/j.jml.2009.02.001
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

118
checked on Dec 13, 2017

Page view(s)

207
checked on Dec 8, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.