黄德根Huang Degen

(教授)

 博士生导师  硕士生导师
学位:博士
性别:男
毕业院校:大连理工大学
所在单位:计算机科学与技术学院
电子邮箱:huangdg@dlut.edu.cn

论文成果

Nested template-based model for Chinese-Japanese machine translation

发表时间:2019-03-11 点击次数:

论文名称:Nested template-based model for Chinese-Japanese machine translation
论文类型:会议论文
收录刊物:EI、Scopus
页面范围:161-166
摘要:Template-based Machine Translation model has been adopted in practical translation systems. In order to build a practical Chinese-Japanese Machine Translation system, we continue to extend Template-based Model. In order to make Template-based Model more practical and specific, original Template is divided into Template for sentences and Template for phrases to build nested Template-based Machine Translation Model. The existing scope and definition of the variable for original Template-based Model is also extended. From the experiment results, Template-based model is not only effective but also feasible and with considerable precision for Chinese Japanese Machine Translation. The Template-based model can even translate long sentences with complex structure. ? 2011 IEEE.
发表时间:2011-08-24