Reading is a complex skill involving the orchestration of a number of components.
Researchers often talk about a 'model of reading'when talking about only one aspect of the …

There has been a recent explosion in research applying Bayesian models to cognitive
phenomena. This development has resulted from the realization that across a wide variety of …

There is mounting evidence that language users are sensitive to distributional information at
many grain-sizes. Much of this research has focused on the distributional properties of …

Research into corpus-based semantics has focused on the development of ad hoc models
that treat single tasks, or sets of closely related tasks, as unrelated challenges to be tackled …

Thirty years of research has uncovered the broad principles that characterize spoken word
processing across listeners. However, there have been few systematic investigations of …

Studies from many languages consistently report that subject relative clauses (SR) are
easier to process than object relatives (OR). However, Hsiao and Gibson (2003) report an …

Computational psycholinguistics is concerned with the development of computational
models of the cognitive mechanisms and representations that underlie language processing …

This research tests whether comprehenders use their knowledge of typical events in real
time to process verbal arguments. In self-paced reading and event-related brain potential …

Spoken language comprehension is known to involve a large left-dominant network of fronto-
temporal brain regions, but there is still little consensus about how the syntactic and …

We present a vector space–based model for selectional preferences that predicts plausibility
scores for argument headwords. It does not require any lexical resources (such as …