Many theoretical models of reading assume that different writing systems require different processing assumptions. For example, it is often claimed that print-to-sound mappings in Chinese are not represented or processed sub-lexically. We present a connectionist model that learns the print to sound mappings of Chinese characters using the same functional architecture and learning rules that have been applied to English. The model predicts an interaction between item frequency and printto-sound consistency analogous to what has been found for English, as well as a language-specific regularity effect particular to Chinese. Behavioral naming experiments using the same test items as the model confirmed these predictions. Corpus properties and the analyses of internal representations that evolved over training revealed that the model was able to capitalize on information in "phonetic components" -sub-lexical structures of variable size that convey probabilistic information about pronunciation. The results suggest that adult reading performance across very different writing systems may be explained as the result of applying the same learning mechanisms to the particular input statistics of writing systems shaped by both culture and the exigencies of communicating spoken language in a visual medium.
KeywordsReading; Computer Simulation; Cross Cultural Differences Over the past three decades, computational models have become increasingly sophisticated in accounting for a broad range of phenomena and specifying the mechanisms underlying skilled reading and its acquisition (see reviews in, e.g., Rayner, Foorman, Perfetti, Pesetsky, & Seidenberg, 2001;Plaut, 2005). The vast majority of this work has been done in English, and has thus focused on issues arising from the particularities of its writing system (Share, 2008). This has led to the construction of models that implement relatively writing system specific assumptions, such as the inclusion of distinct processing mechanisms for "sub-lexical" and "lexical" translation from spelling to sound (Coltheart, Curtis, Atkins, & Haller, 1993;Coltheart, Rastle, Perry, Langdon, & Ziegler, 2001). An alternative approach has been to assume that reading skill is acquired by way of domain-general learning mechanisms that operate over distributed representations of basic levels of information, such as orthography, © 2009 Elsevier Inc. All rights reserved.Address for Correspondence: Jason D. Zevin, Sackler Institute, Weill Cornell Medical College, 1300 York Ave., Box 140, New York, NY, 10065, Tel: 212-746-3781, E-mail: jdz2001@med.cornell.edu. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and a...