Much research in cognitive neuroscience supports prediction as a canonical computation of
cognition across domains. Is such predictive coding implemented by feedback from higher …

To understand language, we must infer structured meanings from real-time auditory or visual
signals. Researchers have long focused on word-by-word structure building in working …

Expectation-based theories of sentence processing posit that processing difficulty is
determined by predictability in context. While predictability quantified via surprisal has …

The disambiguation of a syntactically ambiguous sentence in favor of a less preferred parse
can lead to slower reading at the disambiguation point. This phenomenon, referred to as a …

It is now a common practice to compare models of human language processing by
comparing how well they predict behavioral and neural measures of processing difficulty …

In psycholinguistics, surprisal theory posits that the amount of online processing effort
expended by a human comprehender per word positively correlates with the surprisal of that …

Many studies of human language processing have shown that readers slow down at less
frequent or less predictable words, but there is debate about whether frequency and …

It is now a common practice to compare models of human language processing by
comparing how well they predict behavioral and neural measures of processing difficulty …

Two chief results of human language processing research are that comprehension is highly
incremental and that comprehension difficulty is differential and localized. Incrementality in …

A number of psycholinguistic studies have factorially manipulated words' contextual
predictabilities and corpus frequencies and shown separable effects of each on measures of …