The Emergence of an Abstract Grammatical Category in Children's Early Speech

被引:24
作者
Meylan, Stephan C. [1 ]
Frank, Michael C. [2 ]
Roy, Brandon C. [2 ,3 ]
Levy, Roger [4 ]
机构
[1] Univ Calif Berkeley, Dept Psychol, 3210 Tolman Hall, Berkeley, CA 94720 USA
[2] Stanford Univ, Dept Psychol, Stanford, CA 94305 USA
[3] MIT, Media Lab, Cambridge, MA 02139 USA
[4] MIT, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
基金
美国国家科学基金会;
关键词
language acquisition; Bayesian models; corpus linguistics; open data; SYNTACTIC CATEGORIES; YOUNG-CHILDREN; ACQUISITION; LANGUAGE; DETERMINER; WORD; SEMANTICS; ACCOUNT; ENGLISH;
D O I
10.1177/0956797616677753
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
How do children begin to use language to say things they have never heard before? The origins of linguistic productivity have been a subject of heated debate: Whereas generativist accounts posit that children's early language reflects the presence of syntactic abstractions, constructivist approaches instead emphasize gradual generalization derived from frequently heard forms. In the present research, we developed a Bayesian statistical model that measures the degree of abstraction implicit in children's early use of the determiners "a" and "the." Our work revealed that many previously used corpora are too small to allow researchers to judge between these theoretical positions. However, several data sets, including the Speechome corpus-a new ultra-dense data set for one child-showed evidence of low initial levels of productivity and higher levels later in development. These findings are consistent with the hypothesis that children lack rich grammatical knowledge at the outset of language learning but rapidly begin to generalize on the basis of structural regularities in their input.
引用
收藏
页码:181 / 192
页数:12
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