JOURNAL ARTICLE

The translator's imperial experience and the dual role of translation: The reception of George Jamieson's translation of the Qing Code.

  • Published In: Translation & Interpreting Studies: The Journal of the American Translation & Interpreting Studies Association, 2024, v. 19, n. 2. P. 171 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Liu, Rui 3 of 3

Abstract

The present research, which focuses on the rarely examined dynamic reception process, aims to extend and enrich the current discussion of the role of translation in colonial and postcolonial history. Based on a case study of George Jamieson's English translation of the Qing Code, this study examines how this translation operates in Hong Kong courts, paying special attention to judges and expert witnesses, who interact closely with Jamieson's work. The cooperative and competing relationship between experts and Jamieson's translation sheds light on the centrality of the translator's imperial experience, highlighting both the colonizing and decolonizing roles of the translation. Moreover, the findings illustrate that Jamieson's imperial experience facilitates the court's acceptance, on the one hand, while making his translation obsolete and subject to challenges from experts, on the other. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Translation & Interpreting Studies: The Journal of the American Translation & Interpreting Studies Association. 2024/05, Vol. 19, Issue 2, p171
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:1932-2798
  • DOI:10.1075/tis.19084.liu
  • Accession Number:180148109
  • Copyright Statement:Copyright of Translation & Interpreting Studies: The Journal of the American Translation & Interpreting Studies Association is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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