Rule learning by seven-month-old infants
Rule learning by seven-month-old infants
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DOI：
10.1126/science.283.5398.77
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发表时间：
1999-01-01
期刊：
影响因子：
56.9
通讯作者：
Vishton, PM
中科院分区：
文献类型：
--
作者：
Marcus, GF;Vijayan, S;Vishton, PM
语言习得的一项基本任务是提取抽象的代数规则。三项实验表明，7个月大的婴儿对结构不熟悉的句子的关注时间比对结构熟悉的句子更长。这些实验中使用的人工语言任务的设计确保了这种区分不能通过计数、仅对过渡概率敏感的系统或一类流行的简单神经网络模型来进行。相反，这些结果表明婴儿能够表征、提取和归纳抽象的代数规则。
A fundamental task of language acquisition is to extract abstract algebraic rules. Three experiments show that 7-month-old infants attend longer to sentences with unfamiliar structures than to sentences with familiar structures. The design of the artificial language task used in these experiments ensured that this discrimination could not be performed by counting, by a system that is sensitive only to transitional probabilities, or by a popular class of simple neural network models. Instead, these results suggest that infants can represent, extract, and generalize abstract algebraic rules.