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机构地区:[1]浙江大学外国语言文化与国际交流学院,杭州310058 [2]中国传媒大学应用语言学研究所,北京100024
出 处:《科学通报》2011年第10期735-740,共6页Chinese Science Bulletin
基 金:国家社会科学基金资助项目(09BYY024);中国传媒大学"211工程"三期重点学科建设项目的部分资助
摘 要:以两种语体的汉语依存句法树库为基础,根据词频及分布率统计结果,选取3个汉语虚词作为研究对象.对提取的3个虚词节点进行了节点度数、点出度、点入度、接近性、内接近性、外接近性、中间度等网络特征的统计,并将这3个节点从网络中移除,对比分析网络前后的节点数、平均度、平均路径长度、网络直径、孤立节点数、最大范围、密度等网络特征的变化.结果表明,3个虚词均是网络的中心节点,但地位各有不同,它们对网络整体结构的影响也有较大区别.本研究不仅为汉语虚词的研究提供了新方法,也为复杂网络中的节点特性研究提供了新的思路.Based on two syntactic dependency treebanks built with two different styles of Chinese, a statistical study is conducted regarding word-frequency and distributions. We extracted three grammatical words as the research objects and analyzed their network features, including all degree, out-degree, in-degree, all closeness, in-closeness, out-closeness and betweenness. Then these three nodes were removed from the networks. We recorded and compared the network features of the two original networks and the three networks from which one node is respectively removed, including the number of vertices, average degree, average path length, diameter, the number of isolated vertices, domain and density. The results show that all three function words are central nodes of the Chinese syntactic networks but have different status. Their influence to the overall structure is also quite different. The research not only provides a new method for the study about Chinese grammatical words but also provides a new way of thinking the node characteristics in the complex network.
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