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- W2127367088 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." @default.
- W2127367088 created "2016-06-24" @default.
- W2127367088 creator A5048115353 @default.
- W2127367088 date "2013-10-01" @default.
- W2127367088 modified "2023-10-03" @default.
- W2127367088 title "Models of visual word recognition" @default.
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- W2127367088 doi "https://doi.org/10.1016/j.tics.2013.08.003" @default.
- W2127367088 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3843812" @default.
- W2127367088 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24012145" @default.
- W2127367088 hasPublicationYear "2013" @default.
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