ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2013, Vol. 21 ›› Issue (10): 1731-1740.doi: 10.3724/SP.J.1042.2013.01731

• 研究前沿 • 上一篇    下一篇

一致性关系中的性别范畴特征及其加工机制

徐晓东   

  1. (东南大学学习科学研究中心儿童发展与学习科学教育部重点实验室, 南京 210096) (南京师范大学外国语学院, 南京 210097)
  • 收稿日期:2012-11-25 出版日期:2013-10-15 发布日期:2013-10-15
  • 通讯作者: 徐晓东
  • 基金资助:

    江苏省高校自然科学基金项目(12KJB180007), 江苏省普通高校研究生科研创新计划项目(CXLX_0147), 南京师范大学高层次人才科研启动基金项目(0809023)和江苏省高校优势学科项目(20110101)资助。

Gender Agreement in Agreement Hierarchy and Its Processing Mechanism

XU Xiaodong   

  1. (Research Center for Learning Science and Key Laboratory of Child Development and Learning Science (Ministry of Education), Southeast University, Nanjing 210096, China) (School of Foreign Languages and Cultures, Nanjing Normal University, Nanjing 210097, China)
  • Received:2012-11-25 Online:2013-10-15 Published:2013-10-15
  • Contact: XU Xiaodong

摘要: 语言中主要区分两种性别范畴关系, 即句法性别范畴和语义性别范畴。这两种性别范畴对句法和语义信息的敏感程度并不相同, 习得这两种信息的难易程度及其相应的神经生理表现也不尽相同; 此外, 这两种不同的性别范畴在一致关系层级结构中所处的位置也不一样:在形态句法层面, 句法性别范畴处于一个较低的层级位置(比如:人称>语法数>语法性别), 而在概念语义层面, 语义性别范畴则可能处于一个相对较高的层级位置(比如:人称>语义性别>概念数)。

关键词: 语义性别范畴, 句法性别范畴, 一致关系层级, ERP, fMRI

Abstract: There are mainly two types of gender agreement features for most of world’s languages, which are grammatical gender and semantic/biological gender. These two types of gender features show different sensitivities to syntactic as well as semantic aspects of constraints; the processes of acquiring these two agreement systems are different and the corresponding neuro-physiological mechanisms underlying these two processes are only partially overlapped. Moreover, these two gender agreement features take different positions in the agreement hierarchies: it is located in a lower position in the morphsyntactically-based agreement hierarchy (e.g., person > grammatical number > grammatical gender) whereas a higher position in the semantically-based hierarchy (e.g., person > semantic gender > notional number).

Key words: grammatical gender, semantic gender, agreement hierarchy, ERP, fMRI