语言生产中类似性诱导的干扰或促进反映了代表性,而不是选择性
Gary M Oppenheim1, Nazbanou Nozari2
1Department of Psychology, Bangor University, Bangor, Wales, UK; Department of Psychology, The University of Texas at Austin, USA.
Cognition
|January 24, 2024
概括
图片命名中的语义干扰在分类学和专题学协会之间有所不同. 主题关联中的上下文敏感性解释了为什么它们不会引起干扰,影响词汇选择模型.
科学领域:
- 认知心理学 认知心理学
- 计算语言学 计算语言学
- 心理语言学 心理语言学
背景情况:
- 解释图片命名中的语义干扰对于理解词汇选择理论至关重要.
- 不一致的经验结果挑战了目前对语义干扰的机械解释.
研究的目的:
- 为了研究图片命名中的语义干扰的边界条件.
- 探索关联类型 (分类学与主题学) 在语义干扰中的作用.
- 为了建模上下文敏感性对词汇选择的影响.
主要方法:
- 一个行为实验,使用一个被屏蔽的图片命名任务与协会类型的直角操纵.
- 计算模拟以建模上下文敏感性和剩余语义激活.
- 训练一个生产模型,对主题协会进行不同的顺序共发生统计.
主要成果:
- 分类学协会始终引起语义干扰,而主题协会没有.
- 来自分布统计的上下文敏感性解释了对主题关联的干扰缺乏.
- 剩余语义激活对抗基于学习的干扰,特别是对主题相关的单词.
- 模拟表明,调制剩余激活捕获梯度干扰和促进值.
结论:
- 语义关联的类型显著影响图片命名中的干扰效应.
- 情境敏感性是理解主题关联无干扰的关键因素.
- 计算模型可以通过结合上下文依赖的语义激活来复制观察到的行为模式,这表明竞争性和非竞争性选择算法在这些条件下产生类似的结果.
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