期刊
EUROPEAN JOURNAL OF COGNITIVE PSYCHOLOGY
卷 22, 期 5, 页码 836-860出版社
PSYCHOLOGY PRESS
DOI: 10.1080/09541440903435621
关键词
Reading aloud; Word naming; Computational modelling; Connectionist models; Neural networks
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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