Predicting the birth of a spoken word

被引:134
作者
Roy, Brandon C. [1 ,2 ]
Frank, Michael C. [2 ]
DeCamp, Philip [1 ]
Miller, Matthew [1 ]
Roy, Deb [1 ]
机构
[1] MIT, MIT Media Lab, Cambridge, MA 02139 USA
[2] Stanford Univ, Dept Psychol, Stanford, CA 94305 USA
关键词
word learning; language acquisition; multimodal corpus analysis; diary study; EARLY VOCABULARY; CHILDREN; INFANTS; ENGLISH; INPUT;
D O I
10.1073/pnas.1419773112
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Children learn words through an accumulation of interactions grounded in context. Although many factors in the learning environment have been shown to contribute to word learning in individual studies, no empirical synthesis connects across factors. We introduce a new ultradense corpus of audio and video recordings of a single child's life that allows us to measure the child's experience of each word in his vocabulary. This corpus provides the first direct comparison, to our knowledge, between different predictors of the child's production of individual words. We develop a series of new measures of the distinctiveness of the spatial, temporal, and linguistic contexts in which a word appears, and show that these measures are stronger predictors of learning than frequency of use and that, unlike frequency, they play a consistent role across different syntactic categories. Our findings provide a concrete instantiation of classic ideas about the role of coherent activities in word learning and demonstrate the value of multimodal data in understanding children's language acquisition.
引用
收藏
页码:12663 / 12668
页数:6
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