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.

中文翻译：

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婴儿期的统计语言学习

研究表明，婴儿使用语言输入中的统计规律来识别和学习一系列语言结构，从语言的声音（例如，母语语音、连续语音中的单词边界）到语法结构的各个方面（例如，词汇类别像名词和动词，句法的基本方面）。在这篇文章中，我回顾了关于婴儿统计语言学习的文献，并提出了关于为什么婴儿对统计规律敏感的问题。在此过程中，我考虑了统计学习、预测和减少婴儿期不确定性之间的关系。