Exploring Sherry Simon's views on translation through a postmodern lens.
Published In: Babel: International Journal of Translation / Revue Internationale de la Traduction / Revista Internacional de Traducción, 2025, v. 71, n. 3. P. 354 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Parham, Fatemeh 3 of 3
Abstract
The present study takes a postmodern approach to Sherry Simon's views on translation, aiming to uncover the extent to which her ideas in translation studies align with postmodern thought. To this end, the works of prominent postmodern thinkers including Lyotard, Baudrillard, Derrida, Cixous, Deleuze, Guattari, and Irigaray are examined. Their postmodern claims are listed and described as scenarios. Then, Simon's views are compared with these scenarios in quest of commonalities. The results indicate that Simon's views on gender are indeed postmodern. Her rejection of the conventional definition of fidelity reflects a postmodern stance as it rejects rigid binary opposites. Similarly, her rejection of hierarchical structures aligns with postmodern principles. Furthermore, her advocacy for dismantling absolutes in polarity can also be considered postmodern. Finally, her view on handling texts in translation to foreground female subjectivity qualifies as a postmodern approach. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Babel: International Journal of Translation / Revue Internationale de la Traduction / Revista Internacional de Traducción. 2025/05, Vol. 71, Issue 3, p354
- Document Type:Article
- Subject Area:Education
- Publication Date:2025
- ISSN:0521-9744
- DOI:10.1075/babel.24111.par
- Accession Number:185656953
- Copyright Statement:Copyright of Babel: International Journal of Translation / Revue Internationale de la Traduction / Revista Internacional de Traducción 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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