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Cited by 547

Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud.

Perry, Conrad, Ziegler, Johannes C., Zorzi, Marco·2007·Psychological Review
DOI 10.1037/0033-295x.114.2.273
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Abstract

At least 3 different types of computational model have been shown to account for various facets of both normal and impaired single word reading: (a) the connectionist triangle model, (b) the dual-route cascaded model, and (c) the connectionist dual process model. Major strengths and weaknesses of these models are identified. In the spirit of nested incremental modeling, a new connectionist dual process model (the CDP+ model) is presented. This model builds on the strengths of 2 of the previous models while eliminating their weaknesses. Contrary to the dual-route cascaded model, CDP+ is able to learn and produce graded consistency effects. Contrary to the triangle and the connectionist dual process models, CDP+ accounts for serial effects and has more accurate nonword reading performance. CDP+ also beats all previous models by an order of magnitude when predicting individual item-level variance on large databases. Thus, the authors show that building on existing theories by combining the best features of previous models--a nested modeling strategy that is commonly used in other areas of science but often neglected in psychology--results in better and more powerful computational models.

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  • Graphemes activate corresponding phonemes, which then activate the appropriate whole-word phonological representation and semantic representations.

    “These graphemes then activate the corresponding phonemes, which in turn lead to activation of the appropriate whole-word phonological representation and the corresponding semantic representations”

    From A Dual-Route Approach to Orthographic Processing (2011) · cites this paper as Perry et al., 2007

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Authors
Perry, C., Ziegler, J. C., & Zorzi, M.
ORCID
Zorzi, Marco
Venue
Psychological Review
Publisher
American Psychological Association (APA)
Published
2007
Volume
114
Issue
2
Pages
273-315
ISSN
  • 1939-1471
  • 0033-295X
DOI
10.1037/0033-295x.114.2.273
Cited by
547
References
12
Language
en
Funders
  • University of Hong Kong
  • University of Padova (28/03T; 07806VE)

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