Assessing the translation of the Political Ideology in Ahmed Matar's Poetry into English

  • May ABo Joloud
  • Rawaa Nasser

Abstract

The process of translating political poetry is a challenging task because it connects between two approaches: literary translation and discourse analysis. Literary translation suggests procedures and strategies which can be helpful means to deal with the form and the content of the poem as a piece of literary text which has aesthetic and creative values that need to capture the interest of the translator. Whereas discourse analysis deals with the ideological content and the process of diagnosing the political ideology of the poet in order to convey it into the target text faithfully. That means, translator must make a balance between the aesthetic values, on the one hand, and the ideological content of the political poem, on the other hand, to fulfill a   satisfactory rendition that can meet with creativity of the original poem.


This paper suggests a number of strategies and procedures that can be adopted to face the obstacles that may face the translator through translating such kind of complicated genre. Moreover, the paper also suggests two models of assessments to diagnose the political ideology in the poem: The first model belongs to Van dijk which is dedicated mainly for analyzing political ideology, whereas the second model is House's model which is dedicated for translation assessment in general; but through this research, house's model is driven into the area of  political ideology analysis to support the and confirm the results of ideological assessment besides its main function as translation assessment.

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Published
2019-09-01
How to Cite
ABO JOLOUD, May; NASSER, Rawaa. Assessing the translation of the Political Ideology in Ahmed Matar's Poetry into English. Mustansiriyah Journal of Arts (MuJA), [S.l.], v. 43, n. 87, p. 27=44, sep. 2019. ISSN 0258-1086. Available at: <http://amm.uomustansiriyah.edu.iq/index.php/mustansiriyah/article/view/1034>. Date accessed: 22 oct. 2019.
Section
Articles