JOURNAL ARTICLE

The Little Prince: A study of its translations into Hebrew and Arabic.

  • Published In: Babel: International Journal of Translation / Revue Internationale de la Traduction / Revista Internacional de Traducción, 2023, v. 69, n. 2. P. 242 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Rosenhouse, Judith 3 of 3

Abstract

This paper studies translations of Antoine de Saint Exupéry's The Little Prince into Hebrew and Arabic, genealogically related Semitic languages. The discussion in the paper focuses on three questions related to subjects already raised in the translation literature: What does the word count of any translated text contribute to translation study? How does comparing different translations of the same text into the same language contribute to translation research? Will translating one text into genealogically related languages reveal similarities between the translations? The research hypothesizes that (1) similarities and differences will be found between the translations, but (2) they will not affect target language rules. The main findings are that (1) total word sums were smaller in the translations than word sums in the source text. (2) The differences reflect the style and register considerations (formal versus daily lexical and structural elements) rather than grammatical issues. The research hypotheses appear to be correct, at least for these languages. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Babel: International Journal of Translation / Revue Internationale de la Traduction / Revista Internacional de Traducción. 2023/03, Vol. 69, Issue 2, p242
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:0521-9744
  • DOI:10.1075/babel.00318.ros
  • Accession Number:171874971
  • 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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