国内机器翻译研究动态科学知识图谱分析(2007—2016)——基于语言学类与计算机科学类期刊的词频对比统计

Scientometirc analysis of China's machine translation studies (2007—2016)

本文以中国知网收录的CSSCI和中文核心来源期刊期刊在2007-2016年区间内所刊载的"机器翻译"研究论文为数据来源,并根据期刊性质分为语言学类和计算机科学类两类。借助CiteSpace绘制了两类期刊所刊载的国内机器翻译研究的动态科学知识图谱,并分别对研究趋势、主要研究机构和研究者、研究热点等方面进行了详尽的分析。研究发现,两类期刊所刊发的论文研究热点有所区别,语言学界更加关注"计算机辅助翻译"领域,意在利用机器翻译帮助人工翻译,并利用这一技术进行翻译教学;而计算机科学界则更加注重如何改进机器翻译,从而获得更加准确的译文并使得用户获得更好的使用体验。

This paper takes relevant core literature retrieved from China National Knowledge Infrastructure on machine translation studies in China from 2007 to 2016 and then divides them into two categories： journals of linguistics and computer science. By employing Cite Space,research tendency,main research institutions,major scholars and the hot topics on machine translation are analyzed respectively. It is found that the study of machine translation in China in the last decade focused on different topics in different areas. Linguists pay more attention to computer-aided translation and aim at employing machine to assist humans to translate and use the technology in translation teaching,whereas scientists try to improve the results of machine translation in order to ensure users to enjoy better experiences.