[1]曹盛楠,陈铸芬,翟书娟.中医药信息型文本机器翻译错误类型及译后编辑策略分析[J].西部中医药,2026,39(06):130-137.[doi:10.12174/j.issn.2096-9600.2026.06.25]
　CAO Shengnan,CHEN Zhufen,ZHAI Shujuan.Analysis of Machine Translation Error Types and Post-Editing Strategies for Informative Traditional Chinese Medicine Texts[J].Western Journal of Traditional Chinese Medicine,2026,39(06):130-137.[doi:10.12174/j.issn.2096-9600.2026.06.25]
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中医药信息型文本机器翻译错误类型及译后编辑策略分析()

《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
39
期数:
2026年06期
页码:
130-137
栏目:
译林新意
出版日期:
2026-06-08

文章信息/Info

Title:
Analysis of Machine Translation Error Types and Post-Editing Strategies for Informative Traditional Chinese Medicine Texts
作者:
曹盛楠, 陈铸芬, 翟书娟
北京中医药大学，北京 102488
Author(s):
CAO Shengnan, CHEN Zhufen, ZHAI Shujuan
Beijing University of Chinese Medicine, Beijing 102488, China
关键词:
中医英译; 机器翻译; 错误分析; 译后编辑
Keywords:
TCM English translation; machine translation; error analysis; post-editing
分类号:
R2-05
DOI:
10.12174/j.issn.2096-9600.2026.06.25
文献标志码:
A
摘要:
目的研究机器翻译在翻译中医药信息型文本时的错误类型与相应的译后编辑策略。 方法采用个案研究法与对比研究法，从《中国的中医药》白皮书选择双语语料，并对比官方译文与谷歌译文的异同。 结果共总结出17种机器翻译错误类型，分为术语、句法、逻辑三大类，并根据错误总结出4条译后编辑策略。 结论机器翻译体现了极强的原文忠实度，但同时存在无法翻译出深层含义、难以处理复杂句、灵活度不足、表达不地道、中医语料库缺乏等问题。
Abstract:
Objective: To investigate the types of errors in machine translation of informative texts in traditional Chinese medicine (TCM) and to develop corresponding post-editing strategies. MethodsUsing case and comparative study methods, this study selects bilingual corpora from the white paper Traditional Chinese Medicine in China and compares the official translation with Google Translate. ResultsA total of 17 types of machine translation errors were identified, which were classified into three categories: terminology, syntax, and logic. Based on the identified errors, four post-editing strategies were proposed. ConclusionWhile machine translation exhibits a strong fidelity to the original text, it has notable limitations, such as the inability to convey implicit meanings, poor performance on complex sentences, lack of flexibility, unidiomatic expressions, and insufficient TCM corpora.

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备注/Memo

备注/Memo:
北京市高校青年英才计划基金资助项目（YETP0804）；北京中医药大学2022年教育课题基金资助项目（XJY22056）；北京中医药大学“揭榜挂帅”教改项目（JX-JBGS-2502009）；北京中医药大学科研业务费社科培育项目（2025-JYB-PY-007）。曹盛楠（2000—），女，硕士学位。研究方向：机器翻译及医学翻译。
更新日期/Last Update: 2026-06-15