Journal of Beijing International Studies University ›› 2023, Vol. 45 ›› Issue (5): 82-97.DOI: 10.12002/j.bisu.478

• Translation Studies • Previous Articles     Next Articles

A Corpus-based Study of Wang Rongpei’s Translation Style: A Case Study of the English Versions of Shijing

Wu Xiaolong()   

  1. Tianjin University of Science and Technology, Tianjin 300222, China
  • Received:2019-05-09 Online:2023-11-07 Published:2023-10-30

汪榕培翻译风格的语料库考察——以《诗经》的英译本为例吴晓龙

吴晓龙()   

  1. 天津科技大学外国语学院,300222
  • 作者简介:吴晓龙,天津科技大学外国语学院,300222,研究方向:语料库语言学与翻译研究。电子邮箱:wuxiaolong@tust.edu.cn
  • 基金资助:
    2015年教育部人文社会科学研究青年基金项目“《诗经》多译本平行语料库的创建与应用研究”的研究成果(15YJC740102)

Abstract:

Wang Rongpei is a renowned contemporary translator of Chinese classics. He has translated more than 60 Chinese classical works in his lifetime, among which eight works, including Shijing, have been selected for inclusion in the Library of Chinese Classics due to their outstanding contributions to the English translation of Chinese classics. Based on the English-Chinese parallel corpus of Shijing, WordSmith was used to investigate Wang Rongpei’s translation style on both the lexical and the syntactic levels by comparing his English translation of Shijing to the English versions by Legge, Pound, and Xu Yuanchong. This study discusses both T-type and S-type translator styles, based on which the interpretation of the motivations is proposed. While reflecting the translator’s style directly by using the statistical data of corpus, exploring the translator’s style by considering the source text is helpful for revealing the essence of translation objectively and comprehensively.

Keywords: Shijing; parallel corpus; Wang Rongpei; translation style; translator’s style

摘要:

汪榕培是我国当代著名的典籍翻译家,一生翻译了60多部典籍作品,其中包括《诗经》在内的8部译作入选“大中华文库”,为中国典籍英译作出了卓越的贡献。本文基于已建成的《诗经》中英文平行语料库,以汪榕培的《诗经》译本为研究对象,参照理雅各、庞德和许渊冲的译本,利用语料库检索软件WordSmith从词汇和句子两个层面考察了汪榕培的翻译风格。本研究兼顾T型和S型两种维度的译者风格特点,并在此基础上对译者风格产生的原因进行了解读。在借助语料库的统计数据直观体现译者风格的同时,兼顾源文本,探讨译者风格,有助于客观、全面地揭示翻译本质。

关键词: 《诗经》, 平行语料库, 汪榕培, 翻译风格, 译者风格

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