中国人民形象的海外传播对中国大国形象构建具有重要的促进作用.基于态度系统理论框架,借助UAM Corpus Tool,对《习近平谈治国理政》及其英译本中的态度资源进行描述性统计分析和主题分析,发现原文与译文主要通过积极的判断资源评价和塑造中国人民形象,具体体现在创造力强、爱好和平、勤劳勇敢和自强不息4 个方面.在整个译介过程中,译者以遵循准确性为首要原则,充分考虑汉英语言差异,灵活采用一词多译、句型调整、语义融合等多种翻译策略与方法来转换态度资源,以确保译文的接受效果,帮助国际受众更好地理解中国人民形象的具体内涵.文章通过翻译实例分析我国政治文本中中国人民形象英译现状,以期为外宣翻译实践和研究提供有益镜鉴.
A Study on the Chinese People's Image in the English Version of Xi Jinping:The Governance of China from the Perspective of the Attitude System
The overseas dissemination of the Chinese people's image plays a significant role in the construction of China's image as a major country.Based on the framework of the Attitude System,descriptive statistical anal-ysis and thematic analysis were conducted on the attitudinal resources in the four volumes of Xi Jinping:The Governance of China and their English translations with the aid of the UAM Corpus Tool.It was found that both the original texts and the translations primarily evaluate and shape the image of the Chinese people through posi-tive judgment resources,specifically reflected in four aspects:highly creative,peace-loving,industrious and brave and constant self-improving.Throughout the translation process,the translators adhered to accuracy as the prima-ry principle,fully considering the differences between Chinese and English,and flexibly employed a variety of translation strategies and methods such as multiple translations for a single expression,sentence structure adjust-ment,semantic fusion,etc.to transform attitude resources,so as to ensure the acceptance effect of the translation and facilitate the international readers to better understand and appreciate the positive image of the Chinese peo-ple.This paper explores the current state of the English translation of the Chinese people's image in Chinese po-litical texts through a detailed analysis of the translation examples,with the aim of providing a valuable reference for the practice and research of overseas-targeted publicity translation.
the Attitude SystemXi Jinping:The Governance of Chinathe Chinese people's imagecorpus
NETL
NSTL
万方数据
