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1
Individual differences in visual word recognition: insights from the English Lexicon
In: http://star.psy.ohio-state.edu/html/coglab/People/roger/pdf/jephpp12a.pdf (2012)
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2
On the additive effects of stimulus quality and word frequency in lexical decision: Evidence for opposing interactive influences revealed by RT distributional analyses
In: http://www.psych.wustl.edu/coglab/publications/Yap,Balota,Tse(2008) On the additve effects.pdf (2008)
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3
Single- versus dual-process models of lexical decision performance insights from response time distribution analysis
In: http://www.psych.wustl.edu/coglab/publications/SingleVersusDualProcess.pdf (2006)
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4
Visual word recognition of single-syllable words
In: http://myweb.unomaha.edu/~mcortese/Balota Cortese et al 2004.pdf (2004)
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5
Individual Differences 1 Running head: INDIVIDUAL DIFFERENCES IN THE JOINT EFFECTS
In: http://www.psych.wustl.edu/coglab/publications/yap_tse_balota_priming_frequency[1].pdf
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6
1 Attentional Control and Flexible Lexical Processing: Explorations of the Magic Moment of Word Recognition
In: http://www.psych.wustl.edu/coglab/publications/SWOWbalota.pdf
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7
The English Lexicon Project (B220) 1
In: http://myweb.unomaha.edu/~mcortese/b220_Balota_English_Lexicon_Project.pdf
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8
Visual word recognition 1 Visual Word Recognition of Multisyllabic Words
In: http://www.psych.wustl.edu/coglab/publications/Yap_Balota_Multisyllabic_Word_Recognition[1].pdf
Abstract: Visual word recognition 2 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 6,115 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.
Keyword: computational models Visual word recognition 3; lexical decision; megastudies; multisyllabic words; speeded pronunciation; visual word recognition
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.484.3028
http://www.psych.wustl.edu/coglab/publications/Yap_Balota_Multisyllabic_Word_Recognition[1].pdf
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9
Investigating the Locus of the Word Frequency Effect in Spoken Word Recognition
In: http://mindmodeling.org/cogsci2012/papers/0178/paper0178.pdf
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10
Additive and Interactive Effects on Response Time Distributions in Visual Word Recognition
In: http://www.psych.wustl.edu/coglab/publications/additive_interactive_effects.pdf
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