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Velan, Hadas; Frost, Ram – Cognition, 2011
Recent studies suggest that basic effects which are markers of visual word recognition in Indo-European languages cannot be obtained in Hebrew or in Arabic. Although Hebrew has an alphabetic writing system, just like English, French, or Spanish, a series of studies consistently suggested that simple form-orthographic priming, or…
Descriptors: Semitic Languages, Phonemes, Written Language, Word Recognition
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Yates, Mark – Cognition, 2010
The least supported phoneme refers to the phoneme position within a word with which the fewest phonological neighbors overlap. Recently, it has been argued that the number of neighbors coinciding with the least supported phoneme is a critical determinant of pronunciation latencies. The current research tested this claim by comparing naming…
Descriptors: Phonemes, English (Second Language), Decoding (Reading), Word Recognition
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Berent, Iris; Vaknin, Vered; Marcus, Gary F. – Cognition, 2007
Is the structure of lexical representations universal, or do languages vary in the fundamental ways in which they represent lexical information? Here, we consider a touchstone case: whether Semitic languages require a special morpheme, the consonantal root. In so doing, we explore a well-known constraint on the location of identical consonants…
Descriptors: Form Classes (Languages), Phonemes, Models, Morphemes
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Ziegler, Johannes C.; Castel, Caroline; Pech-Georgel, Catherine; George, Florence; Alario, F-Xavier; Perry, Conrad – Cognition, 2008
Developmental dyslexia was investigated within a well-understood and fully specified computational model of reading aloud: the dual route cascaded model (DRC [Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J.C. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108,…
Descriptors: Reading Difficulties, Dyslexia, Word Recognition, Dictionaries
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Norris, Dennis – Cognition, 1994
The Shortlist model is presented, which incorporates the desirable properties of earlier models of back-propagation networks with recurrent connections that successfully model many aspects of human spoken word recognition. The new model is entirely bottom-up and can readily perform simulations with vocabularies of tens of thousands of words. (DR)
Descriptors: Input Output, Language Processing, Models, Oral Language