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| Bayesian Statistics | 1 |
| Decision Making | 1 |
| Identification | 1 |
| Models | 1 |
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| Word Recognition | 1 |
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| Psychological Review | 1 |
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| Norris, Dennis | 1 |
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Direct linkNorris, Dennis – Psychological Review, 2006
This article presents a theory of visual word recognition that assumes that, in the tasks of word identification, lexical decision, and semantic categorization, human readers behave as optimal Bayesian decision makers. This leads to the development of a computational model of word recognition, the Bayesian reader. The Bayesian reader successfully…
Descriptors: Bayesian Statistics, Word Recognition, Theories, Semantics
