Production of relative clauses in Cantonese-speaking children with and without Developmental Language Disorder

IF 2.1 2区心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY

Brain and Language Pub Date : 2024-07-01 DOI:10.1016/j.bandl.2024.105425

Jane Lai , Angel Chan , Evan Kidd

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Abstract

Developmental Language Disorder (DLD) has been explained as either a deficit deriving from an abstract representational deficit or as emerging from difficulties in acquiring and coordinating multiple interacting cues guiding learning. These competing explanations are often difficult to decide between when tested on European languages. This paper reports an experimental study of relative clause (RC) production in Cantonese-speaking children with and without DLD, which enabled us to test multiple developmental predictions derived from one prominent theory − emergentism. Children with DLD (N = 22; aged 6;6–9;7) were compared with age-matched typically-developing peers (N = 23) and language-matched, typically-developing children (N = 21; aged 4;7–7;6) on a sentence repetition task. Results showed that children’s production across multiple RC types was influenced by structural frequency, general semantic complexity, and the linear order of constituents, with the DLD group performing worse than their age-matched and language-matched peers. The results are consistent with the emergentist explanation of DLD.

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有发育性语言障碍和无发育性语言障碍的讲粤语儿童的相对从句的产生。

发育性语言障碍（DLD）被解释为一种源自抽象表象缺陷的障碍，或者是由于难以获得和协调指导学习的多种相互作用的线索而产生的。在对欧洲语言进行测试时，这些相互竞争的解释往往难以取舍。本文报告了一项对患有和未患有 DLD 的讲粤语的儿童进行的相对从句（RC）产生的实验研究，这项研究使我们能够检验从一种著名理论--新兴主义--中得出的多种发展预测。我们将患有 DLD 的儿童（22 人；6;6-9;7 岁）与年龄匹配的发育正常的同龄儿童（23 人）和语言匹配的发育正常的儿童（21 人；4;7-7;6 岁）在句子重复任务上进行了比较。结果表明，儿童在多种 RC 类型中的造句能力受到结构频率、一般语义复杂性和成分线性顺序的影响，其中 DLD 组的表现比年龄匹配和语言匹配的同龄儿童差。这些结果与新兴主义对 DLD 的解释是一致的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Brain and Language 医学-神经科学

CiteScore

4.50

自引率

8.00%

发文量

审稿时长

20.5 weeks

期刊介绍： An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.