基于CiteSpace国内译后编辑研究的可视化分析(1995~2024)

A Visual Analysis of Post-Editing Research in China Based on CiteSpace (1995~2024)

摘要: 本研究从中国知网收取934篇国内译后编辑相关文献，利用CiteSpace软件进行可视化分析。研究显示，国内译后编辑研究可分为1995~2011年萌芽探索、2012~2019年快速发展、2020~2024年调整深化三个阶段。研究热点涵盖翻译策略、人工智能等12个聚类，新兴热点为翻译技术与错误分析。领域核心关键词为译后编辑和机器翻译，高产作者与高校推动研究发展，研究从技术基础向前沿技术融合演进。通过分析分析译后编辑研究存在课程建设与人才培养不足、应用文本单一等问题。本研究基于上述发现梳理领域发展脉络与核心方向，为未来译后编辑领域的研究深化、课程优化及应用场景拓展提供参考依据。

Abstract: This study conducts a visual analysis using CiteSpace software, with 934 valid domestic post-editing related literatures included in CNKI (China National Knowledge Infrastructure) from 1995 to 2024 as the data source. The research shows that domestic post-editing research can be divided into three stages: the embryonic exploration stage (1995~2011), the rapid development stage (2012~2019), and the adjustment and deepening stage (2020~2024). The research hotspots cover 12 clusters such as translation strategies and artificial intelligence, while emerging hotspots are translation technology and error analysis. The core keywords in this field are “post-editing” and “machine translation”. Productive authors and universities have promoted the development of relevant research, and the research has evolved from technical foundations to the integration of cutting-edge technologies. Through analysis, it is found that post-editing research has problems such as insufficient curriculum construction and talent training, as well as a single type of applied text. Based on the above findings, this study sorts out the development context and core directions of the field, providing a reference for the deepening of future post-editing research, curriculum optimization, and expansion of application scenarios.