Statistical learning (SL) is involved in a wide range of basic and higher-order cognitive
functions and is taken to be an important building block of virtually all current theories of …

Researchers agree that comprehenders regularly predict upcoming language, but they do
not always agree on what prediction is (and how to differentiate it from integration) or what …

The rise and success of large language models undermines virtually every strong claim for
the innateness of language that has been proposed by generative linguistics. Modern …

Despite a growing body of research devoted to the study of how humans encode
environmental patterns, there is still no clear consensus about the nature of the …

Perception involves making sense of a dynamic, multimodal environment. In the absence of
mechanisms capable of exploiting the statistical patterns in the natural world, infants would …

This article introduces the P-chain, an emerging framework for theory in psycholinguistics
that unifies research on comprehension, production and acquisition. The framework …

Is children's language acquisition based on innate linguistic structures or built from cognitive
and communicative skills? This book summarises the major theoretical debates in all of the …

Although the power of statistical learning (SL) in explaining a wide range of linguistic
functions is gaining increasing support, relatively little research has focused on this …

Infants learn language with remarkable speed, but how they do it remains a mystery. New
data show that infants use computational strategies to detect the statistical and prosodic …

In the last decade, reading research has seen a paradigmatic shift. A new wave of
computational models of orthographic processing that offer various forms of noisy position or …