Considerable research indicates that learners are sensitive to probabilistic structure in laboratory studies of artificial language learning. However, the artificial and simplified nature …
ED Thiessen, AT Kronstein, DG Hufnagle - Psychological bulletin, 2013 - psycnet.apa.org
The term statistical learning in infancy research originally referred to sensitivity to transitional probabilities. Subsequent research has demonstrated that statistical learning contributes to …
J Arciuli - … Transactions of the Royal Society B: Biological …, 2017 - royalsocietypublishing.org
The central argument presented in this paper is that statistical learning (SL) is an ability comprised of multiple components that operate largely implicitly. Components relating to the …
ED Thiessen - … Transactions of the Royal Society B …, 2017 - royalsocietypublishing.org
Statistical learning has been studied in a variety of different tasks, including word segmentation, object identification, category learning, artificial grammar learning and serial …
How does prior linguistic knowledge modulate learning in verbal auditory statistical learning (SL) tasks? Here, we address this question by assessing to what extent the frequency of …
An increasing body of research has investigated how bilingual language experience changes brain structure and function, including changes to task-free, or “resting-state” brain …
A book that uses domain-general learning theory to explain recurrent trajectories of language change. In this book, Vsevolod Kapatsinski argues that language acquisition …
Statistical learning, the ability to extract regularities from input (eg, in language), is likely supported by learners' prior expectations about how component units co‐occur. In this study …