AI辅助下的翻译审校实践报告——以《中国译学史》(第10~11节)中译英为例

Practical Report on AI-Assisted Translation Revision—A Case Study of the English Translation of A History of Translation in China (Sections 10~11)

摘要: 本文旨在探讨在人工智能技术辅助下，对《中国译学史》第一章第10~11节英译版本进行审校的过程与挑战。在学者王雯初步翻译的基础上，笔者系统性地运用如Kimi和文心一言等AI工具，以提升译文的准确性、流畅性与文化适应性。报告详细分析了审校中发现的逻辑错误、指代不明、文化典故误译等典型问题，并综合运用翻译理论提出了具体的解决方案。本次实践表明，AI工具的介入能有效提升审校效率，同时也深化了笔者对翻译理论复杂性的理解，证明了人机协同在现代学术翻译质量控制中的重要作用与价值。

Abstract: This paper investigates the process and challenges of revising the English translation of Sections 10~11 from Chapter 1 of A History of Translation in China with the assistance of artificial intelligence. Building upon scholar Wen Wang’s preliminary translation, it demonstrates the systematic application of AI tools such as Kimi and Wenxin Yiyan to enhance translational accuracy, fluency, and cultural adaptability. The paper provides a detailed analysis of recurrent issues—including logical inconsistencies, ambiguous references, and the mistranslation of cultural allusions—and proposes specific solutions grounded in translation theory. Furthermore, it shows that AI-assisted revision can significantly improve efficiency and deepen the theoretical understanding of translation complexities, thereby proving the significant role and value of human-computer collaboration in quality control for modern academic translation.