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"Who are you standing with?": cultural (self-re)translation of a Russian-speaking conference immigrant-interpreter in Israel during the war in Ukraine.

  • Published In: Multilingua, 2024, v. 43, n. 1. P. 63 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Voinova, Tanya 3 of 3

Abstract

The war in Ukraine, which began on February 24, 2022, has led to a significant civilian involvement in Israel, particularly among immigrants from the former Soviet Union, who began to provide humanitarian assistance, including interpreting. Highlighting the interrelation between translation and migration, I argue that the war strongly affects multiple hybrid identities of immigrant-interpreters who along with interlingual translation engage also in processes of cultural (self-re)translation. Scholarly attention for such experiences has been relatively limited, since most research on interpreting in war and conflict has prioritized interpreter experiences within war struck regions. Little attention has also been devoted to the work of (conference) interpreters who are themselves immigrants. In this autoethnographic study therefore, I present my own experience during the war as both an immigrant from Russia and a conference interpreter who works with Russian and Hebrew. I discuss several aspects pertinent to the immigrant-interpreter experience within and beyond the interpreting practice: being part of a collective of immigrants, involved in humanitarian assistance; negotiating the devaluation of Russian(ness); facing challenges to the (in)visibility, implied in the interpreter's role; and moving in-between the origin and the host countries. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Multilingua. 2024/01, Vol. 43, Issue 1, p63
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:0167-8507
  • DOI:10.1515/multi-2023-0054
  • Accession Number:174781027
  • Copyright Statement:Copyright of Multilingua is the property of De Gruyter 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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