国内近二十年机器翻译错误研究综述
A Review of Machine Translation Error Research in China in the Past Two Decades

本文以CNKI (中国知网)期刊数据库中收录的关于机器翻译错误研究的论文为数据来源，运用数据统计的研究方法，对国内机器翻译错误研究进行可视化分析，通过考察论文发表数量、主要研究领域、机器翻译引擎、错误标注手段以及错误分类方法等，整理分析了国内机器翻译错误的发展过程及现状。研究结果表明，国内机器翻译错误研究在最近十年兴起并呈上升趋势，在2021年达到高潮，文本聚焦领域比较广泛。文章进而提出了神经网络机器翻译错误技术研究存在的问题，展望未来研究导向，以促进国内机器翻译错误类型再研究、再创造。
This paper takes the papers on machine translation error research included in the CNKI database as the data source, and applies the research method of data statistics to visualize and analyze the domestic machine translation error research, and organizes and analyzes the development process and the current situation of the domestic machine translation error by examining the number of papers published, the main research fields, the machine translation engine, the means of error annotation, and the method of error classification, and so on. The research results show that domestic machine translation error research has emerged and shown an upward trend in the last decade, reaching a climax in 2021, with a relatively wide range of text-focused fields. The article then puts forward the problems existing in the research of neural network machine translation error technology and looks forward to the future research orientation, in order to promote the domestic machine translation error type re-study and re-creation.