On the association between connectionism and data: Are a few words necessary?

Abstract

Parallel distributed processing models represent a new and exciting approach to the study of visual word recognition in reading. Seidenberg and McClelland's (1989) model is examined because the strongest and widest claims for the viability of a connectionist account of visual word recognition have been made on the basis of their model.