Revisiting nonword repetition as a clinical marker of developmental language disorder: Evidence from monolingual and bilingual L2 Cantonese

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
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引用次数: 0

Abstract

Cross-linguistically, nonword repetition (NWR) tasks have been found to differentiate between typically developing (TD) children and those with Developmental Language Disorder (DLD), even when second-language TD (L2-TD) children are considered. This study examined such group differences in Cantonese. Fifty-seven age-matched children (19 monolingual DLD (MonDLD); 19 monolingual TD (MonTD); and 19 L2-TD) repeated language-specific nonwords with varying lexicality levels and Cantonese-adapted quasi-universal nonwords. At whole-nonword level scoring, on the language-specific, High-Lexicality nonwords, MonDLD scored significantly below MonTD and L2-TD groups which did not differ significantly from each other. At syllable-level scoring, the same pattern of group differentiation was found on quasi-universal nonwords. These findings provide evidence from a typologically distinct and understudied language that NWR tasks can capture significant TD/DLD group differences, even for L2-Cantonese TD children with reduced language experience. Future studies should compare the performance of an L2-DLD group and evaluate the sensitivity and specificity of Cantonese NWR.

重新审视作为发育性语言障碍临床标志的非词重复:来自单语和双语中级粤语的证据
跨语言研究发现,非单词重复(NWR)任务可区分典型发育(TD)儿童和发育性语言障碍(DLD)儿童,即使考虑到第二语言TD(L2-TD)儿童也不例外。本研究用粤语考察了这种群体差异。57名年龄匹配的儿童(19名单语DLD(MonDLD);19名单语TD(MonTD);19名第二语言TD)重复了不同词性水平的特定语言非词和适应广东话的准通用非词。在整个非词水平的评分中,在特定语言的高词性非词上,MonDLD 组的得分明显低于 MonTD 组和 L2-TD 组,这两个组之间没有明显差异。在音节级评分中,准通用非词上也发现了同样的组别分化模式。这些研究结果从一种类型独特、研究不足的语言中提供了证据,证明即使对于语言经验较少的 L2-Cantonese TD 儿童,NWR 任务也能捕捉到显著的 TD/DLD 组别差异。未来的研究应比较 L2-DLD 组的表现,并评估粤语 NWR 的敏感性和特异性。
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
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.
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