Probabilistic methods are providing new explanatory approaches to fundamental cognitive
science questions of how humans structure, process and acquire language. This review …

The problems of access—retrieving linguistic structure from some mental grammar—and
disambiguation—choosing among these structures to correctly parse ambiguous linguistic …

It must certainly be accounted a paradox that probabilistic modeling is simultaneously one of
the oldest and one of the newest areas in psycholinguistics. Much research in linguistics and …

In a prior review, Perrruchet and Pacton (2006) noted that the literature on implicit learning
and the more recent studies on statistical learning focused on the same phenomena, namely …

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

The ideas of frequency and predictability have played a fundamental role in models of
human language processing for well over a hundred years (Schuchardt 1885; Jespersen …

The notion that prediction is a fundamental principle of human information processing has
been en vogue over recent years. The investigation of language processing may be …

A major goal of psycholinguistic theory is to account for the cognitive constraints limiting the
speed and ease of language comprehension and production. Wide-ranging evidence …

A central concern of psycholinguistic research is explaining the relative ease or difficulty
involved in processing words. In this thesis, we explore the connection between lexical …

There is much debate over the degree to which language learning is governed by innate
language-specific biases, or acquired through cognition-general principles. Here we …