...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Physica, A. Statistical mechanics and its applications >An empirical study of Chinese language networks
【24h】

An empirical study of Chinese language networks

机译：汉语语言网络的实证研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Chinese is spoken by the largest number of people in the world, and it is regarded as one of the most important languages. In this paper, we explore the statistical properties of Chinese language networks (CLNs) within the framework of complex network theory. Based on one of the largest Chinese corpora, i.e. People's Daily Corpus, we construct two networks (CLN1 and CLN2) from two different respects, with Chinese words as nodes. In CLNI, a link between two nodes exists if they appear next to each other in at least one sentence; in CLN2, a link represents that two nodes appear simultaneously in a sentence. We show that both networks exhibit small-world effect, scale-free structure, hierarchical organization and disassortative mixing. These results indicate that in many topological aspects Chinese language shapes complex networks with organizing principles similar to other previously studied language systems, which shows that different languages may have some common characteristics in their evolution processes. We believe that our research may shed some new light into the Chinese language and find some potentially significant implications. (c) 2008 Elsevier B.V. All rights reserved.
机译：中文是世界上最多人使用的语言，被认为是最重要的语言之一。在本文中，我们在复杂网络理论的框架内探索了中文网络的统计特性。基于最大的中文语料库之一，即人民日报语料库，我们从两个不同方面构建了两个网络（CLN1和CLN2），以中文单词为节点。在CLNI中，如果两个节点在至少一个句子中彼此相邻出现，则存在链接。在CLN2中，链接表示两个节点在句子中同时出现。我们证明这两个网络都表现出小世界效应，无标度结构，等级组织和分散混合。这些结果表明，在许多拓扑学方面，汉语以与以前研究过的其他语言系统相似的组织原理塑造了复杂的网络，这表明不同的语言在其演化过程中可能具有某些共同的特征。我们相信我们的研究可能会为汉语带来一些新的启发，并发现一些潜在的重大意义。 （c）2008 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号