Suppr超能文献

一种主谓数一致的自组织方法。

A Self-Organizing Approach to Subject-Verb Number Agreement.

作者信息

Smith Garrett, Franck Julie, Tabor Whitney

机构信息

Department of Psychological Sciences, University of Connecticut.

Psycholinguistics Laboratory, University of Geneva.

出版信息

Cogn Sci. 2018 Jun;42 Suppl 4:1043-1074. doi: 10.1111/cogs.12591. Epub 2018 Feb 1.

Abstract

We present a self-organizing approach to sentence processing that sheds new light on notional plurality effects in agreement attraction, using pseudopartitive subject noun phrases (e.g., a bottle of pills). We first show that notional plurality ratings (numerosity judgments for subject noun phrases) predict verb agreement choices in pseudopartitives, in line with the "Marking" component of the Marking and Morphing theory of agreement processing. However, no account to date has derived notional plurality values from independently needed principles of language processing. We argue on the basis of new experimental evidence and a dynamical systems model that the theoretical black box of notional plurality can be unpacked into objectively measurable semantic features. With these semantic features driving structure formation (and hence agreement choice), our model reproduces the human verb production patterns as a byproduct of normal processing. Finally, we discuss how the self-organizing approach might be extended to other agreement attraction phenomena.

摘要

我们提出了一种句子处理的自组织方法,该方法为一致吸引中的概念复数效应带来了新的启示,使用了伪部分性主语名词短语(例如,一瓶药丸)。我们首先表明,概念复数评级(对主语名词短语的数量判断)预测了伪部分性结构中动词的一致选择,这与一致处理的标记与变形理论中的“标记”成分一致。然而,迄今为止,还没有任何理论从语言处理的独立必要原则中推导出概念复数值。基于新的实验证据和一个动态系统模型,我们认为概念复数的理论黑箱可以被分解为客观可测量的语义特征。随着这些语义特征驱动结构形成(进而驱动一致选择),我们的模型作为正常处理的副产品再现了人类动词生成模式。最后,我们讨论了自组织方法如何可能扩展到其他一致吸引现象。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验