{"title":"The connectionist dual process (CDP) approach to modelling reading aloud","authors":"M. Zorzi","doi":"10.1080/09541440903435621","DOIUrl":null,"url":null,"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.","PeriodicalId":88321,"journal":{"name":"The European journal of cognitive psychology","volume":"11 1","pages":"836 - 860"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The European journal of cognitive psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09541440903435621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 39
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.