中国机器翻译研究综述(1998-2021)——基于CiteSpace的可视化分析

An Overview of Machine Translation in China:A Visual Analysis Based on CiteSpace

人工智能大时代,机器翻译凭借丰富的语料库极大地提高了译员翻译效率与质量,受到广泛关注。本文以CSSCI数据库中1998年至2021年收录的176篇机器翻译研究文献为数据来源,借助CiteSpace(5.7 R5版本)软件,绘制生成国内机器翻译研究系列知识图谱,进行可视化分析。通过对机器翻译研究的关键词共现、关键词聚类、文献共被引聚类、时区图等知识图谱的呈现,梳理中国机器翻译研究领域前沿热点与发展趋势,以期更好地把握机器翻译未来发展研究范式。

In the AI’s era,machine translation has greatly improved the efficiency and quality of translation by virtue of its abundant corpus,which has attracted widespread attention.In this paper,based on 176 papers(1998-2021)on machine translation research collected in CSSCI database as data sources,CiteSpace(version 5.7R5)software has been used to draw and generate a series of knowledge maps on machine translation research in China for visual analyse.Through drawing the knowledge maps such as keyword co-occurrence,keyword clustering,literature co-citation clustering,time zone map,etc.,this paper attempts to conclude the cutting-edge hot spots and development trends in the field of machine translation research in China,in order to better grasp the further development of machine translation research paradigm.