Models of reading aloud: Dual-route and parallel-distributed-processing approaches.

Abstract

It has often been argued that various facts about skilled reading aloud cannot be explained by any model unless that model possesses a dual-route architecture (lexical and nonlexical routes from print to speech). This broad claim has been challenged by Seidenberg and McClelland (1989, 1990). Their model has but a single route from print to speech, yet, they contend, it can account for major facts about reading that have hitherto been claimed to require a dual-route architecture. The authors identify 6 of these major facts about reading. The 1-route model proposed by Seidenberg and McClelland can account for the first of these but not the remaining 5. Because models with dual-route architectures can explain all 6 of these basic facts about reading, the authors suggest that this remains the viable architecture for any tenable model of skilled reading and learning to read. The dual-route cascaded model, a computational version of the dual-route model, is described

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