A Corpus-Based Study on the Chinese Translation of Nominalization Structures in United Nations Documents

联合国文件在国际事务中具有重要作用，其高质量翻译十分关键。名词化结构在联合国文件中十分常见，其汉译方式有待系统研究。本研究主要探讨联合国文件中英语名词化结构的汉译技巧，总结汉译规律。本研究依托联合国平行语料库，结合语料库查询语言与自研AI分析程序，对大量名词化实例进行自动识别、分类与汉译技巧对应分析。研究发现，名词化结构的汉译主要有四种技巧：保留名词结构、转换词性、省略以及句式重构。本研究为译者面对不同类型名词化结构时，如何根据语境和文本类型选择翻译策略提供了实证支持，有助于提升联合国文件翻译的质量与效率，也为相关领域的语料库翻译研究提供了参考方法。United Nations documents play a vital role in international affairs, making high-quality translation essential. Nominalization structures are very common in UN documents, yet their Chinese translation methods require systematic study. This research primarily explores the techniques and patterns for translating English nominalization structures in United Nations documents into Chinese. Drawing on the United Nations parallel corpus, and utilizing both corpus query languages and self-developed AI analysis tools, this study automatically identifies, classifies, and analyzes a large number of nominalization examples and their corresponding translation techniques. The findings indicate that there are four main techniques for translating nominalization structures: retaining the nominal structure, changing the part of speech, omission, and sentence restructuring. This research provides empirical support for translators in selecting appropriate translation strategies for different types of nominalization structures based on context and text type. It contributes to improving the quality and efficiency of United Nations document translation and offers a methodological reference for corpus-based translation studies in related fields.