title: Seeking predictions from a predictive framework.
abstract: We welcome the proposal to use forward models to understand predictive processes in language processing. However, Pickering & Garrod (P&G) miss the opportunity to provide a strong framework for future work. Forward models need to be pursued in the context of learning. This naturally leads to questions about what prediction error these models aim to minimize.
authors.affiliation: Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627-0268, USA. fjaeger@bcs.rochester.edu
authors.forename: T Florian
authors.initials: TF
authors.lastname: Jaeger
authors.forename: Victor
authors.initials: V
authors.lastname: Ferreira
mesh_terms: D032882:Comprehension / Q000502:physiology*; D006801:Humans; D008962:Models, Theoretical; D013060:Speech / Q000502:physiology*; D013067:Speech Perception / Q000502:physiology*