Statistical language learning in infancy.

Statistical language learning in infancy.
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DOI:
10.1111/cdep.12355
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发表时间:
2020-01-19
影响因子:
6.4
通讯作者:
Saffran JR
Saffran JR
中科院分区:
心理学1区
文献类型:
--
作者:
Saffran JR

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迄今为止的研究表明,婴儿在语言输入中利用统计学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)到语法结构的方面(例如,词汇类别,如名词和动词,句法的基本方面)。本文简要回顾了婴儿统计语言学习的文献,并提出了更广泛的问题,为什么婴儿是敏感的统计语言学习。在这样做的时候,我们考虑统计学习,预测和不确定性减少之间的关系在婴儿期。
Research to date suggests that infants exploit statistical regularities in linguistic input to identify and learn a range of linguistic structures, ranging 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). This article presents a brief review of the infant statistical language learning literature, and raises broader questions concerning why infants are sensitive to statistical regularities. In doing so, we consider the relationship between statistical learning, prediction, and uncertainty reduction in infancy.
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