中国社会科学院研究生院语言学系研究生论坛 No.041
2019年度特别报告会

　　时 间：2019年6月6日（周四）9:30-11:30
　　地 点：语言所大会议室
　　主持人：王伟（副研究员）

　　主题报告一：晋语张呼片入声调的演变
　　报告人：王婧（博士生）

　　主题报告二：《方言》转语词研究中需要注意的几个问题
　　报告人：游帅（博士后）

　　主题报告三：A Rhythm Account of Statistical Learning
　　报告人：王昊（美国内华达大学助理教授）

晋语张呼片入声调的演变
王婧

　　摘要：晋语张呼片大部分方言点古入声今读一个入声调。本文推测这个入声调是先分后合的结果，合流方向是古全浊入合进清入。全文从三个角度展开论证：

　　1.内蒙古张呼片晋语咸山宕江摄古全浊入来源字今读多舒化，同样语音环境下古清入字多保留入声。古全浊入舒化归调的不同反映了不同层次。

　　2.张家口张呼片晋语入声分阴阳方言点的阳入字，在入声不分阴阳地区多舒化而不与清入字合流。

　　3.河北中部张呼片晋语五县市古清入字保留独立入声。古浊入字均已舒化，通过对比可知其为按调值舒化。

　　关键词：入声调 演变 先分后合 晋语张呼片

《方言》转语词研究中需要注意的几个问题
游帅

　　摘要：扬雄《方言》一书中存在着大量因时间、地域不同导致语音变转，进而书写时改用另形表示的转语现象。相较于通语词汇，方言传承脉络不够清晰，音转形变现象比较严重，很容易造成与源词的割裂，因而对《方言》转语词的提取与考释长期以来都是一项重要的研究课题，也遗留了一批疑难材料未能得到妥善处理。

　　围绕这一核心问题，我们结合实例讨论了现阶段《方言》转语词研究中需要注意的几个方面的问题，包括：

　　1.对意义需精确把握，避免偶然因素干扰。
　　2.语音考察从实际出发，必求律例兼备。
　　3.谨慎审视与民族语的对比联系。
　　4.注意引入出土文献材料，发挥时域特征优势。

　　关键词：《方言》 转语词 语音变转 音转形变

A Rhythm account of
statistical learning

Felix Wang

　　Abstract: 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. 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 also developed a computational model to explain word 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 domains.

　　Bio: Felix Wang received his Ph.D. in Psychology at the University of Southern California in 2016. After graduation, he worked as a postdoctoral researcher in the Department of Psychology at the University of Pennsylvania, with Dr. Lila Gleitman and John Trueswell. He is currently an assistant professor in the Department of Psychology at the University of Nevada, Las Vegas. His work focuses on two broad themes, statistical learning of how elements are structured in a sequence and the learning of the meaning of words.