Statistical learning (SL) is typically considered to be a domain-general mechanism by which
cognitive systems discover the underlying distributional properties of the input. However …

The human infant brain is the only known machine able to master a natural language and
develop explicit, symbolic, and communicable systems of knowledge that deliver rich …

Zweisprachig aufwachsen. Frühkindliche Zweisprachigkeit ist heute keine Seltenheit mehr.
Doch was bedeutet dies für den Spracherwerb? Dieses Buch bietet eine fundierte …

Natural human languages often contain variation (sociolinguistic or Labovian variation) that
is passed from one generation of speakers to the next, but studies of acquisition have largely …

Learning sequences is of great importance to humans and non-human animals. Many motor
and mental actions, such as singing in birds and speech processing in humans, rely on …

Abstracting syntactic rules is critical to human language learning. It is debated whether this
ability, already present in young infants, is human-and language specific or can also be …

A learner's linguistic input is more variable if it comes from a greater number of speakers.
Higher speaker input variability has been shown to facilitate the acquisition of phonemic …

In this article, we hypothesize that individuals with autism spectrum disorder (ASD) are born
with a deficit in invariance detection, which is a learning process whereby people and …

When learning a language, it is crucial to know which syllables of a continuous sound string
belong together as words. Human infants achieve this by attending to pauses between …

The present investigation seeks to determine whether and under what circumstances can
adult bilinguals deploy segmentation strategies characteristic of their two languages, or of …