Hierarchical Clustering Analysis of Reading Aloud Data: A New Technique for Evaluating the Performance of Computational Models

Hierarchical Clustering Analysis of Reading Aloud Data: A New Technique for Evaluating the Performance of Computational Models

DRC (Coltheart et al., 2001) and CDP++ (Perry, Zorzi, & Ziegler, 2010) are two of the most successful models of reading aloud. These models differ primarily in how their sublexical systems convert letter strings into phonological codes. DRC adopts a set of grapheme-to-phoneme conversion rules (G...

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Bibliographic Details
Main Authors: Serje eRobidoux, Stephen ePritchard
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-03-01
Series:Frontiers in Psychology
Subjects:
Computational modelling
hierarchical clustering
reading aloud
nonword reading
consonant regularity
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00267/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00267/full

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