期刊
EPL
卷 93, 期 2, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1209/0295-5075/93/28005
关键词
-
资金
- National Social Science Foundation of China [09BYY024]
- Communication University of China
In this study, the complex-network approaches are employed to investigate the word form networks and the lemma networks extracted from dependency syntactic treebanks of fifteen different languages. The results show that it is possible to classify human languages by means of the main parameters of complex networks. The complex-network approaches can obtain language classifications as precise as achieved by contemporary word order typology. Clustering experiments point to the fact that the difference between the word form networks and the lemma networks can make for a better classification of languages. In short, the dependency syntactic networks can reflect morphological variation degrees and morphological complexity. Copyright (C) EPLA, 2011
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据