Scientific rich images in translation: a multilingual study

Mark Shuttleworth*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)

Abstract

The aim of this article is to investigate the solutions that translators opt for when translating metaphorical expressions that are classified as either ‘rich images’ or ‘non-rich images.’ The investigation is based on a corpus of Scientific American texts from 2003 and 2004 and their translations into French, Italian, German, Russian and Polish. Rich images are metaphorical expressions that are ‘rich’ in detail and in associations, and around 40% of the metaphors that occur in the corpus can be classified in this way. Based on a conceptual framework partially derived from metaphor research and on quantitative and qualitative analyses of the data, the article provides a list of translation procedures that the author identifies for the translation of rich images into non-rich images and vice versa. The article determines that there is a greater tendency for rich images to be replaced by non-rich than vice versa, thus leading to the conclusion that there is a general tendency to shift from the more to the less specific, in this area of translation practice at any rate.

Original languageEnglish
Pages (from-to)35-51
Number of pages17
JournalJournal of Specialised Translation
Volume21
Publication statusPublished - Jan 2014

Scopus Subject Areas

  • Language and Linguistics
  • Linguistics and Language

User-Defined Keywords

  • Metaphor
  • translation
  • rich image
  • Scientific American
  • translation procedures

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