Incremental Discourse-Update Constrains Number Agreement Attraction Effect

IF 2.4 2区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL Cognitive Science Pub Date : 2024-09-16 DOI:10.1111/cogs.13497
Sanghee J. Kim, Ming Xiang
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Abstract

While a large body of work in sentence comprehension has explored how different types of linguistic information are used to guide syntactic parsing, less is known about the effect of discourse structure. This study investigates this question, focusing on the main and subordinate discourse contrast manifested in the distinction between restrictive relative clauses (RRCs) and appositive relative clauses (ARCs) in American English. In three self-paced reading experiments, we examined whether both RRCs and ARCs interfere with the matrix clause content and give rise to the agreement attraction effect. While the standard attraction effect was consistently observed in the baseline RRC structures, the effect varied in the ARC structures. These results collectively suggest that discourse structure indeed constrains syntactic dependency resolution. Most importantly, we argue that what is at stake is not the static discourse structure properties at the global sentence level. Instead, attention should be given to the incremental update of the discourse structure in terms of which discourse questions are active at any given moment of a discourse. The current findings have implications for understanding the way discourse structure, specifically the active state of discourse questions, constrains memory retrieval.

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增量话语更新制约数量协议的吸引力效应
虽然句子理解方面的大量研究都在探讨如何利用不同类型的语言信息来指导句法分析,但人们对话语结构的影响却知之甚少。本研究探讨了这一问题,重点研究了美式英语中限制性相对从句(RRC)和附加性相对从句(ARC)之间的主从话语对比。在三个自定进度的阅读实验中,我们考察了限制性相对从句(RRC)和附加性相对从句(ARC)是否都会干扰矩阵从句的内容并产生一致吸引效应。虽然在基线 RRC 结构中一直观察到标准吸引效应,但在 ARC 结构中这种效应却各不相同。这些结果共同表明,话语结构确实制约着句法依存关系的解决。最重要的是,我们认为关键不在于句子整体层面的静态话语结构属性。相反,我们应该关注话语结构的增量更新,即在话语的任何特定时刻,哪些话语问题是活跃的。当前的研究结果对于理解话语结构,特别是话语问题的活跃状态如何制约记忆检索具有重要意义。
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来源期刊
Cognitive Science
Cognitive Science PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.10
自引率
8.00%
发文量
139
期刊介绍: Cognitive Science publishes articles in all areas of cognitive science, covering such topics as knowledge representation, inference, memory processes, learning, problem solving, planning, perception, natural language understanding, connectionism, brain theory, motor control, intentional systems, and other areas of interdisciplinary concern. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers in cognitive science and its associated fields, including anthropologists, education researchers, psychologists, philosophers, linguists, computer scientists, neuroscientists, and roboticists.
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