Recurrent neural networks can learn to predict upcoming words remarkably well on average;
in syntactically complex contexts, however, they often assign unexpectedly high …

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 …

The disambiguation of syntactically ambiguous sentences can lead to reading difficulty, often
referred to as a garden path effect. The surprisal hypothesis suggests that this difficulty can …

Computational models of memory are often expressed as hierarchic sequence models, but
the hierarchies in these models are typically fairly shallow, reflecting the tendency for …

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

Similarity measures are a vital tool for understanding how language models represent and
process language. Standard representational similarity measures such as cosine similarity …

It has been argued that humans rapidly adapt their lexical and syntactic expectations to
match the statistics of the current linguistic context. We provide further support to this claim by …

The notion of salience has been singled out as the explanatory factor for a diverse range of
linguistic phenomena. In particular, perceptual salience (eg, visual salience of objects in the …

Neural language models (LMs) perform well on tasks that require sensitivity to syntactic
structure. Drawing on the syntactic priming paradigm from psycholinguistics, we propose a novel …

Studies on the role of memory as a predictor of reading time latencies (1) differ in their predictions
about when memory effects should occur in processing and (2) have had mixed results…