Exploring Associations between Words in English and Chinese Sentences

摘要：

Study associations among words can help distinguish the semantic roles of words and find the important words for information organization and retrieval. This paper studies co-occurrence and sequence associations between words based on a parallel sentence corpus in English and Chinese. The experimental association networks are constructed to study the characteristics from the complex network view. Experiment results show the difference between association networks in English and those in Chinese.

关键词： association co-occurrence sequence complex network link analysis

作者: Junsheng ZHANG Wei YU Huilin WANG

作者单位: IT Support Center Institute of Scientific and Technical Information of China, Beijing, China

会议类型: 国际会议

会议名称: International Council for Scientific and Technical Information Annual Conference(国际科技信息委员会2011年夏季年会 ICSTI 2011)

会议地点: 北京

会议语种:英文

页码: 251-255

在线出版日期: 2011-06-07（万方平台首次上网日期，不代表论文的发表时间）