.png){kind=icon}
.png){kind=icon}
Return
Statistical Language Learning in Infancy
.png){kind=icon}
OA
AI
DOI：10.1111/cdep.12355.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Research suggests that infants use statistical regularities in linguistic input to identify and learn a range of linguistic structures, from the sounds of language (e.g., native-language speech sounds, word boundaries in continuous speech) to aspects of grammatical structure (e.g., lexical categories like nouns and verbs, basic aspects of syntax). In this article, I review the literature on statistical language learning in infants and raise questions about why infants are sensitive to statistical regularities. In doing so, I consider the relationship among statistical learning, prediction, and reducing uncertainty in infancy.
Keywords:
infancy
language
statistical learning
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.3
Papers:
747
Citations:
5.3K
