What is it about?
We evaluated the Dual Route Cascaded (DRC) model of visual word recognition using Greek behavioral data on word and nonword naming and lexical decision, focusing on the effects of syllable and bigram frequency.
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Why is it important?
This is the first study to evaluate a computational model of visual word recognition and reading aloud with Greek stimuli by directly comparing modeling against behavioral data. The model was successful in simulating many aspects of the behavioral data, but our evaluation also revealed significant limitations of the model. For example, the model showed insensitivity to length and syllabic frequency effects (which were present in the behavioral data). Such inconsistencies may reflect underlying differences, for example, in terms of the representational units used in processing (e.g. syllable versus graphemes).
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This page is a summary of: Lexical and sublexical effects on visual word recognition in Greek: comparing human behavior to the dual route cascaded model, Language Cognition and Neuroscience, July 2017, Taylor & Francis,
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