Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Applying Juliane House’s Translation Quality Assessment Model (1997) on a Humorous Text: A Case Study of 'The Simpsons'

Vallès, Daniel 2014. Applying Juliane House’s Translation Quality Assessment Model (1997) on a Humorous Text: A Case Study of 'The Simpsons'. New Readings 14 , pp. 42-63. 10.18573/newreadings.98

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (139kB) | Preview

Abstract

Translation quality assessment is an area of increased interest by all elements involved in the process and result of translation. However, the vague nature of the concept of quality and the subjectivity involved in the process of its measurement mean that specific tools are required to assess it. In this respect, Juliane House’s 1997 model of translation quality assessment offers a systematic approach to evaluate translated texts. As other empirical studies have already applied House’s model on more standard texts to assess its suitability, the aim of this paper was to determine to what extent House’s model was able to deal with the particular features of humorous texts. Hence, the case study selected was the script of an episode of US-American TV series The Simpsons translated from English into Spanish. The results of this analysis show that, in spite of the model’s limitations, its functional-pragmatic approach and concept of equivalence utilized is useful in assessing the quality of this type of texts.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Modern Languages
Subjects: H Social Sciences > H Social Sciences (General)
P Language and Literature > PC Romance languages
P Language and Literature > PE English
P Language and Literature > PN Literature (General) > PN0080 Criticism
P Language and Literature > PN Literature (General) > PN1990 Broadcasting
Publisher: Cardiff University Press
ISSN: 1359-7485
Date of First Compliant Deposit: 17 January 2020
Last Modified: 21 Jan 2020 14:40
URI: http://orca.cf.ac.uk/id/eprint/128906

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics