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作 者:罗丹 LUO Dan(Biquan Academy,Xiangtan University,Xiangtan,Hunan411105,China)
机构地区:[1]湘潭大学碧泉书院,湖南湘潭411105 [2]湖南工学院马克思主义学院,湖南衡阳421002
出 处:《贵州工程应用技术学院学报》2020年第6期28-37,共10页Journal of Guizhou University Of Engineering Science
基 金:湖南省哲学社会科学基金项目“基于CCG的汉语时间结构的逻辑语义研究”,项目编号:19YBA128;湖南省教育厅博士研究生科研创新项目“基于CCG的汉语时间词的逻辑语义研究”,项目编号:CX20190425。
摘 要:量化结构历来是语言学家、逻辑学家以及人工智能学家共同关注的焦点问题,而量化并列结构更是长期争论不休、亟待解决的疑难之一。在多模态组合范畴语法的理论框架中融入广义斯科伦项技术,拟对汉语量化并列结构进行处理,以冀为量化并列结构提供一般的解析框架。多模态的组合范畴语法,将敏感的模态算子特征及广义斯科伦项技术融入到原生态CCG的框架系统,能够对自然语言现象进行更为精确的刻画。这种逻辑工具在处理更多的汉语语言现象中也有更值得期待的前景。Quantitative structure has always been the focus of linguists,logicians and artificial intelligence,and quantified coordination structure is one of the problems that need to be solved.In this paper,we try to integrate the generalized Skolen term technology into the theoretical framework of the multiple model combined category grammar,and try to classify the Chinese quantified coordination structures,so as to provide a general analytical framework for the quantified coordination structures.The multiple model combined category grammar integrates the sensitive modal operator characteristics and the generalized Skolen term technology into the original CCG framework system,forming an upgraded version of the framework,which can describe the natural language phenomenon more accurately.This kind of logic tool also has a more promising prospect in dealing with more Chinese language phenomena.
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