title: Prediction, explanation, and the role of generative models in language processing.
abstract: We propose, following Clark, that generative models also play a central role in the perception and interpretation of linguistic signals. The data explanation approach provides a rationale for the role of prediction in language processing and unifies a number of phenomena, including multiple-cue integration, adaptation effects, and cortical responses to violations of linguistic expectations.
authors.affiliation: Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627-0268, USA. tfarmer@bcs.rochester.edu
authors.forename: Thomas A
authors.initials: TA
authors.lastname: Farmer
authors.forename: Meredith
authors.initials: M
authors.lastname: Brown
authors.forename: Michael K
authors.initials: MK
authors.lastname: Tanenhaus
mesh_terms: D001288:Attention / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D019336:Cognitive Science / Q000639:trends*; D006801:Humans; D010465:Perception / Q000502:physiology*