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Prefixes repel stress in reading aloud : evidence from surface dyslexia
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Phonotactic constraints : implications for models of oral reading in Russian
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What can we learn about visual attention to multiple words from the word-word interference task?
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The Locus of serial processing in reading aloud : orthography-to-phonology computation or speech planning?
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The Serial nature of the masked onset priming effect revisited
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Nonword reading : comparing dual-route cascaded and connectionist dual-process models with human data
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Morphological processing during visual word recognition in developing readers : evidence from masked priming
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Reading aloud : new evidence for contextual control over the breadth of lexical activation
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Computational modelling of the effects of semantic dementia on visual word recognition
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Abstract:
Rogers, Lambon Ralph, Hodges, and Patterson (2004) studied two-alternative forced-choice visual lexical decision performance in patients with semantic dementia. With item pairs where the target word was more “typical” (i.e., higher in bigram and trigram frequency) than the foil (all foils were pseudohomophones), lexical decision performance was good and was unaffected by word frequency. With item pairs where the target word was less “typical” (i.e., lower in bigram and trigram frequency) than the foil, lexical decision performance was worse and was affected by word frequency, being particularly inaccurate when the word targets were low in frequency. We show (using as materials all the monosyllabic items used by Rogers and colleagues) that the same pattern of results occurs in the lexical decision performance of the DRC (dual-route cascaded) computational model of reading when the model is lesioned by probabilistic deletion of low-frequency words from its orthographic lexicon. We consider that the PDP (parallel distributed processing) computational model of reading used by Woollams, Plaut, Lambon Ralph, and Patterson (2007) to simulate reading in semantic dementia is not capable of simulating this lexical decision result. We take this, in conjunction with previous work on computational modelling of reading aloud in surface dyslexia, phonological dyslexia, and semantic dementia using the DRC and PDP reading models, to indicate that the DRC model does a better job than the PDP model in accounting for what is known about the various forms of acquired dyslexia. ; 14 page(s)
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Keyword:
110900 Neurosciences; computational modelling; reading; semantic dementia; visual word recognition
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URL: http://hdl.handle.net/1959.14/129309
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Can the dual-route cascaded computational model of reading offer a valid account of the masked onset priming effect?
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Is the orthograhic/phonological onset a single unit in reading aloud?
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Computational modelling of the masked onset priming effect in reading aloud
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Computational modeling of reading in semantic dementia : comment on Woollams, Lambon Ralph, Plaut, and Patterson (2007)
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Effects of homophony on reading aloud : implications for models of speech production
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The Cross-Script Length Effect: Further Evidence Challenging PDP Models of Reading Aloud
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In: Journal of Experimental Psychology: Learning, Memory, and Cognition, 35 (1) (2009)
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