A Chinese-English patent machine translation system based on the theory of hierarchical network of concepts
Compared with ordinary text,patent text often has more complex sentence structure and more ambiguity of multiple verbs.To deal with these problems,this paper presents a rule-based Chinese-English patent machine translation (MT) system based on the theory of hierarchical network of concepts (HNC).In this system,the whole procedure are divided into three main parts,the semantic analysis of the source language,the transitional transformation from the source language to the target language and the generation of the target language.The knowledge base and the rule set are obtained from manually analyzing the semantic features of a training set which contains more than 6 000 Chinese patent sentences,and a specific method of evaluation is provided during the experiment.
patent machine translation semantic analysis semantic features transitional transformation
ZHU Yun JIN Yao-hong
CPIC-BNU Joint Laboratory of Machine Translation,Institute of Chinese Information Processing,Beijing Normal University,Beijing 100875,China
国内会议
黄山
英文
140-146
2012-10-25（万方平台首次上网日期，不代表论文的发表时间）