在自发发言过程中口吃的语言特征
Haley J Warner1, Ravi Shroff2, Arianna Zuanazzi3
1Department of Communicative Sciences and Disorders, New York University, 665 Broadway, New York, NY 10012, USA.
Journal of fluency disorders
|October 18, 2023
概括
语言特征如单词长度和频率预测自发言语中的口吃,类似于阅读任务. 单词复杂度增加,例如更长或更少的单词,增加了口吃的可预测性.
科学领域:
- 语音语言病理学 语言病理学
- 语言学的语言学.
- 心理语言学 心理语言学
背景情况:
- 之前的研究发现了影响自语在阅读任务中的可预测性语言特征.
- 与阅读相比,自发言语带来了独特的语言挑战.
研究的目的:
- 研究语言特征对自发言语中口吃可预测性的影响.
- 要确定在阅读任务中具有预测性的语言特征是否也在自发言语中具有预测性.
主要方法:
- 来自FluencyBank数据库的35名成年口吃者 (27,009个单词) 的采访数据的分析.
- 开发了三种物流回归混合效应模型,包含各种语言特征 (例如,单词长度,频率,语音,语法功能,社区密度,单词获取年龄,具体性).
- 使用曲线下的面积 (AUC) 统计数据进行模型比较.
主要成果:
- 最初的四个特征模型确定了最初的语音,语法函数和单词长度作为重要的预测因素.
- 六个特征模型增加了单词频率和邻里密度,初始语音,单词长度,单词频率和邻里密度成为显著的预测因素.
- 九个特征模型没有比六个特征模型提供更好的预测能力.
结论:
- 在阅读任务中影响口吃的语言特征在自发言语中也具有预测性.
- 吃的可预测性受到语言处理需求的影响,较长和较少的单词显示出不流利的可能性更高.
- 研究结果强调了心理语言学因素在自然主义沟通期间口吃的作用.
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