Jiang Hang, Frank Michael C, Kulkarni Vivek, Fourtassi Abdellah
Symbolic Systems Program, Stanford University.
Department of Psychology, Stanford University.
Cogn Sci. 2022 Jul;46(7):e13177. doi: 10.1111/cogs.13177.
The linguistic input children receive across early childhood plays a crucial role in shaping their knowledge about the world. To study this input, researchers have begun applying distributional semantic models to large corpora of child-directed speech, extracting various patterns of word use/co-occurrence. Previous work using these models has not measured how these patterns may change throughout development, however. In this work, we leverage natural language processing methods-originally developed to study historical language change-to compare caregivers' use of words when talking to younger versus older children. Some words' usage changed more than others; this variability could be predicted based on the word's properties at both the individual and category levels. These findings suggest that caregivers' changing patterns of word use may play a role in scaffolding children's acquisition of conceptual structure in early development.
幼儿期儿童所接收的语言输入在塑造他们对世界的认知方面起着至关重要的作用。为了研究这种输入,研究人员已开始将分布语义模型应用于大量面向儿童的言语语料库,提取单词使用/共现的各种模式。然而,此前使用这些模型的研究尚未衡量这些模式在整个发育过程中可能如何变化。在这项研究中,我们利用最初为研究历史语言变化而开发的自然语言处理方法,比较照顾者在与年幼儿童和年长儿童交谈时的用词情况。有些词的用法变化比其他词更大;这种变异性可以根据单词在个体和类别层面的属性来预测。这些发现表明,照顾者不断变化的用词模式可能在幼儿早期概念结构的习得过程中起到支架作用。