ProbabilisticLinguisticExpectations,UncertainInput,andImplicatio
ProbabilisticLinguisticExpectations,UncertainInput,andImplicationsforEyeMovementsinReading
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One nearly ubiquitous assumption in models of linguistic comprehension and of eye movement control in reading alike is of partialmodularization between word-level and sentence-level processing, that the outcome of word recognition, and thus the input tosentence-level comprehension, is a categnrial representation. Yet such a partial modularization throws away residual uncertainty re-garding word identity that might potentially be of value to the comprehender further downstream in the sentence. Here I describe aline of research combining computational modeling with experimental eye-tracking work to explore the consequences of removing thispartial modularity assumption.
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