A METHOD OF RECOGNIZING THE ROOT OF AN IMPROVED DEPENDENCY TREE FOR THE CHINESE PATENT LITERATURE

摘要：

　　Compared with ordinary text,patent text in Chinese often has more complex sentence structure and more ambiguity of multiple verbs,which brings more difficulties in patent machine translation.To deal with these problems,this paper presents an improved dependency tree and a method to recognize the root of this tree for Chinese-English patent machine translation.Based on the theory of Hierarchical Network of Concepts (the HNC theory),some semantic features are used in the recognition.Experiments show that the precision of the recognition is close to 85%.

关键词： dependency tree root predicate chunk semantic features patent literature

作者: Yun Zhu Yaohong Jin

作者单位: Institute of Chinese Information Processing,;CPIC-BNU Joint Laboratory of Machine Translation,Beijing Normal University,Beijing 100875,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 1999-2005

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）