The Effect of Semantic Context on Lexical Access in Children With and Without Developmental Language Disorder

Fatemeh Hassanati, Salime Jafari, R. Nilipour, Zahra Sadeghi, Z. Ghoreishi
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引用次数: 0

Abstract

Objectives: Lexical access problems are one of the limitations observed in children with developmental language disorders during the initial years of schooling. Semantic context has a powerful influence on lexical access. The cross-modal visual-auditory picture-word interference paradigm is a method for studying adults and children's lexical access. Because few studies have examined lexical access in Persian-speaking children, the present study aimed to investigate the effect of different semantic contexts on lexical access in children with and without developmental language disorder. Methods: In this experimental study, 20 children aged 7-9 years with developmental language disorders and 20 age-matched peers were recruited according to the inclusion and exclusion criteria. At first, the picture-word interference paradigm was prepared. In so doing, 16 common pictures of objects paired with four auditory interfering words (related verb, related noun, unrelated verb, and unrelated noun) were presented to the children in a silent condition to determine their naming accuracy and latency. The DMDX software calculated the naming latency. The percentage of correct names also calculated naming accuracy. Results: Naming latencies were significantly faster in children without language disorders (P≤0.05). In addition, a reliable interference effect was found. According to the results, naming latencies were significantly faster for related verb distractors than unrelated verbs and related noun distractors (P<0.05). In addition, a significant difference was observed between the silent and interference conditions regarding the naming accuracy. However, accuracy was not affected by distractors. Discussion: Different semantic contexts affect lexical access differently in children. These differences cause semantic relatedness between verbs and nouns in lexical networks. The present study findings indicate that lexical knowledge and semantic relatedness are lower in children with developmental language disorders than in those with typical language development. These results can be useful for future studies and interventions on lexical access in children with and without language disorders.
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语义语境对发育性语言障碍儿童词汇习得的影响
目的:词汇获取问题是在学校教育的最初几年中观察到的语言发育障碍儿童的局限性之一。语义语境对词汇习得有着强大的影响。跨模态视觉听觉图词干扰范式是研究成人和儿童词汇习得的一种方法。由于很少有研究对讲波斯语的儿童的词汇访问进行研究,本研究旨在调查不同语义语境对患有和不患有发展性语言障碍的儿童词汇访问的影响。方法:在本实验研究中,根据纳入和排除标准,招募了20名7-9岁的发育性语言障碍儿童和20名年龄匹配的同龄人。首先,提出了图像词干扰范式。在这样做的过程中,在无声条件下,向孩子们展示了16张与四个听觉干扰词(相关动词、相关名词、无关动词和无关名词)配对的物体的常见图片,以确定他们的命名准确性和潜伏期。DMDX软件计算了命名延迟。正确名称的百分比还计算了命名的准确性。结果:在没有语言障碍的儿童中,命名潜伏期明显加快(P≤0.05)。此外,还发现了可靠的干扰效应。结果表明,相关动词干扰物的命名潜伏期明显快于非相关动词和相关名词干扰物(P<0.05)。此外,在命名准确性方面,沉默和干扰条件之间存在显著差异。然而,准确度不受干扰物的影响。讨论:不同的语义语境对儿童词汇习得的影响不同。这些差异导致了词汇网络中动词和名词之间的语义关联。目前的研究结果表明,发育性语言障碍儿童的词汇知识和语义相关性低于典型语言发育儿童。这些结果可用于未来对患有和不患有语言障碍的儿童进行词汇访问的研究和干预。
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来源期刊
Iranian Rehabilitation Journal
Iranian Rehabilitation Journal Medicine-Rehabilitation
CiteScore
0.60
自引率
0.00%
发文量
12
审稿时长
6 weeks
期刊介绍: Iranian Rehabilitation Journal aims to provide the readers with a variety of topics, including: original articles, hypothesis formation, editorials, literature reviews, case reports, short communications, special reports, letters to the editor, discussions of public policy issues and book reviews, and methodology articles in the fields of rehabilitation and social welfare, including (but not limited to): -Clinical and basic research in various special needs groups -Physical and mental rehabilitation -Epidemiological studies on disabling conditions -Biostatistics -Vocational and socio-medical aspects of rehabilitation IRJ also welcomes papers focusing on the genetic basis of common disabling disorders across human populations. Those studies may include (but not limited to): -The genetic basis of common single gene and complex disorders. -Bioinformatics tools to investigate and to model biological phenomena -Novel computational tools and databases -Sequence analysis -Population analysis -Databases and text mining
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