Models of visual word recognition.

  • Norris D
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Abstract

Reading is a complex process that draws on a remarkable number of diverse perceptual and cognitive processes. In this review, I provide an overview of computational models of reading, focussing on models of visual word recognition-how we recognise individual words. Early computational models had 'toy' lexicons, could simulate only a narrow range of phenomena, and frequently had fundamental limitations, such as being able to handle only four-letter words. The most recent models can use realistic lexicons, can simulate data from a range of tasks, and can process words of different lengths. These models are the driving force behind much of the empirical work on reading. I discuss how the data have guided model development and, importantly, I also provide guidelines to help interpret and evaluate the contribution the models make to our understanding of how we read.

Author-supplied keywords

  • 003
  • 08
  • 10
  • 1016
  • 1364-6613
  • 2013
  • all rights reserved
  • computational modelling
  • doi
  • dx
  • explain the
  • http
  • j
  • lexical decision
  • models that try to
  • org
  • primarily on more recent
  • reading
  • see front matter
  • tics
  • word recognition
  • ß 2013 elsevier ltd

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Authors

  • Dennis G Norris

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