谈话中的惊喜和随意突出之间的关系反映了面向可理解性的压力
Thomas Hikaru Clark1, Moshe Poliak1, Tamar Regev1
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology.
Cognitive science
|October 27, 2025
概括
这项研究表明,在谈话中,不可预测的单词,以惊喜来衡量,说得更长,音调更高. 这表明,沟通是由听众理解的需要塑造的,而不仅仅是说话者的效率.
科学领域:
- 计算语言学 计算语言学
- 心理语言学 心理语言学
- 语音沟通 语音沟通
背景情况:
- 对话是一种多式联络方式的信息交换.
- 单词持续时间与可预测性有关,但原因 (面向说话者与倾听者) 仍在争论中.
- 面向听者的可理解性压力可能会影响语音的产生.
研究的目的:
- 调查自然对话中词语可预测性 (惊喜) 和声学变量之间的关系.
- 为了确定基于可理解性的原则对谈话语言的影响程度.
- 分析与惊喜相关的前奏特征 (持续时间,强度,音调).
主要方法:
- 使用GPT-2大型语言模型计算surprisal (不可预测性).
- 分析了自然主义的英语口语对话的CANDOR体.
- 检查了诸如持续时间,强度和音调,以及听众的后台通道等律特征.
主要成果:
- 显著地预测了更长的单词持续时间和最大音调.
- 惊喜还预测了音调范围,对强度的影响不那么明显.
- 听众的后台通道与扬声器词语惊人的尖峰相关.
- 背景窗口大小影响模型适合不同于杆与其他变量.
结论:
- 这些发现支持基于可理解性的语言生产的解释.
- 语音生产似乎对成功沟通的需要很敏感.
- 交谈动态受听者的理解需求的影响.
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