The connectionist dual process (CDP) approach to modelling reading aloud
Abstract
This paper reviews the Connectionist Dual Process (CDP) approach to modelling reading aloud, from the computational principles that motivate the model's connectionist dual-route architecture to the most recent developments guided by a nested incremental modelling strategy. New simulations based on a greatly simplified, feedforward version of the model (ffCDP+) demonstrate that the models' success in accounting for key phenomena in word naming relies on the nature of its sublexical route. The results with ffCDP+, where the parameter-heavy, interactive lexical route is turned into a simple frequency-weighted activation of lexical phonology, show that the two-layer associative network of phonological assembly is the core component in CDP+ and highlight the intrinsic modularity of the model. Further developments of the model and some directions for future research are discussed.
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The traditional dual-route model of reading aloud distinguishes a lexical route and a non-lexical route for transforming print to sound.
“The starting point of the present endeavor is the traditional dual-route model of reading aloud, that distinguishes between a lexical route and a non-lexical route for transforming print to sound”
From A Dual-Route Approach to Orthographic Processing (2011) · cites this paper as Zorzi, 2010
Cites
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A Dual-Route Approach to Orthographic Processing
Grainger, J., & Ziegler, J. C. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00054 · Cited by 459 · see citing works
Ziegler, J. C., Perry, C., & Zorzi, M. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0397 · Cited by 204 · see citing works
Self-citation
- Authors
- Zorzi, M.
- Affiliations
- a Department of General Psychology and Centre for Cognitive Science , University of Padova , Padova , Italy
- Venue
- European Journal of Cognitive Psychology
- Publisher
- Informa UK Limited
- Published
- 2010-07-21
- Volume
- 22
- Issue
- 5
- Pages
- 836-860
- ISSN
- 0954-1446
- 1464-0635
- Cited by
- 40
- References
- 6
- Language
- en
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