题  目：A Rhythm Account of Statistical Learning（用韵律对统计学习的解读）

主讲人： 王 昊 助理教授（内华达州立大学）

时  间: 2020年10月27日（星期二）上午10：00 – 11：00

地  点：心理学院214课室

讲座摘要：

统计学习对于早期语言习得非常重要。这个研究提出一个关于婴儿统计学习的新的假说，即对韵律感知的能力可以更好的解释婴儿统计学习，并通过实验和建模对这一假说进行了证明，以及进一步提出，韵律感知不仅可以解释当前研究和其他统计学习研究，还可能是言语和听觉其它领域普遍存在的基本机制。

Even from a brief exposure to an artificial spoken language, infants and adults can identify candidate word forms and other adjacent and non-adjacent dependencies present in the acoustic input. Among the influential theories resulting from this research is the proposal that humans compute conditional probabilities of adjacent and non-adjacent elements to discover underlying structure. However, there exist findings in the literature, including the results presented here, that are not consistent with such accounts. We propose that the perception of rhythm played an important role in prior studies, and in general that rhythm perception plays a critical role in determining which dependencies listeners can identify. We created a novel experimental paradigm to introduce a rhythm in the language stream that allowed us to manipulate the rhythm systematically. We showed that even learning adjacent dependencies with conditional probabilities of 1.0 depends on rhythm perception. We also developed a computational model to explainword segmentation in terms of rhythm perception, and we present simulations showing that the model captures patterns of human data from multiple experiments. We argue that the perception of rhythm holds explanatory power not only to our experiments and other dependency learning studies, but it is likely to be a fundamental mechanism that is ubiquitous in language and other auditory domain.

主讲人简介：

王昊博士，2012年本科毕业于美国卫斯理安大学，2016年博士毕业于美国南加州大学。之后在宾州大学师从John Trueswell和Lila Gleitman进行博士后研究。2018年在内华达州立大学心理学系入职当助理教授。王昊老师主要研究语言习得和心理语言学的研究。