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分布学习有助于学龄儿童形成语言类别。

Distributional learning aids linguistic category formation in school-age children.

作者信息

Hall Jessica, Owen VAN Horne Amanda, Farmer Thomas

机构信息

University of Iowa,Iowa City,Iowa,USA.

University of Delaware,Newark,Delaware,USA.

出版信息

J Child Lang. 2018 May;45(3):717-735. doi: 10.1017/S0305000917000435. Epub 2017 Nov 10.

Abstract

The goal of this study was to determine if typically developing children could form grammatical categories from distributional information alone. Twenty-seven children aged six to nine listened to an artificial grammar which contained strategic gaps in its distribution. At test, we compared how children rated novel sentences that fit the grammar to sentences that were ungrammatical. Sentences could be distinguished only through the formation of categories of words with shared distributional properties. Children's ratings revealed that they could discriminate grammatical and ungrammatical sentences. These data lend support to the hypothesis that distributional learning is a potential mechanism for learning grammatical categories in a first language.

摘要

本研究的目的是确定发育正常的儿童是否仅能从分布信息中形成语法类别。27名6至9岁的儿童聆听了一种人工语法,该语法在其分布上存在策略性空白。在测试中,我们比较了儿童对符合语法的新句子和不符合语法的句子的评分。句子只能通过形成具有共享分布属性的词类来区分。儿童的评分显示,他们能够区分符合语法和不符合语法的句子。这些数据支持了以下假设:分布学习是第一语言中学习语法类别的一种潜在机制。

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本文引用的文献

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Using Bayes to get the most out of non-significant results.贝叶斯推断在不显著结果中的应用。
Front Psychol. 2014 Jul 29;5:781. doi: 10.3389/fpsyg.2014.00781. eCollection 2014.
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Optional stopping: no problem for Bayesians.选择性停止:对贝叶斯主义者来说不是问题。
Psychon Bull Rev. 2014 Apr;21(2):301-8. doi: 10.3758/s13423-014-0595-4.

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