自闭症儿童的词汇发展:网络成长分析
Eileen Haebig1, Stanley West2, Christopher R Cox2
1Department of Communication Sciences and Disorders, Louisiana State University, Baton Rouge, LA, USA.
Journal of child psychology and psychiatry, and allied disciplines
|November 12, 2025
概括
自闭症和非自闭症儿童通过使用他们环境的语义结构来类似地学习新词. 两组人都受益于与先前学习的词汇相关的单词,显示重叠的学习过程.
科学领域:
- 发展心理学 发展心理学
- 计算语言学 计算语言学
- 神经发育障碍 神经发育障碍
背景情况:
- 自闭症儿童经常表现出表达性词汇发展的延迟.
- 自闭症早期的词语学习过程尚未得到充分理解.
- 这项研究研究了自闭症和非自闭症儿童的词汇获取.
研究的目的:
- 在解释词汇获取轨迹时,比较网络增长模型.
- 分析自闭症和非自闭症儿童早期的词语学习.
- 识别词汇发展中的相似之处和差异.
主要方法:
- 利用来自儿童词汇检查清单的项目级数据,对721名自闭症儿童和2,166名非自闭症幼儿进行了检查.
- 使用网络增长模型估计词汇增长轨迹和评估模型匹配.
- 基于语义结构和词汇关联计算的单词级获取规范和评估模型性能.
主要成果:
- 单词层次的获取规范被证明是有用的,特别是当基于年龄的规范无法用于神经差异群体时.
- 网络成长模型解释了自闭症和非自闭症儿童在词汇获取方面的可比差异.
- 两组人都倾向于学习与先前获得的词汇相关的单词,环境词汇连接给了他们额外的推动.
结论:
- 自闭症和非自闭症儿童优先通过利用他们学习环境的语义结构来获取单词.
- 词汇增长的理论模型显示自闭症和非自闭症发育轨迹之间存在显著的重叠.
- 研究结果表明,在利用语义网络来进行词语学习方面,有一个共同的潜在机制.
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