Machine translation (MT) is becoming more involved in the translation field for its quick translation and less cost compared to human. News Translation can make use of MT to speed up the translation and minimize its cost. However, the outcome of MT still suffers from some pitfalls on the micro and macro level. This research investigates how Google translation (GT), as one type of MT, translates the ideologically loaded lexical items in political news headlines from English into Arabic and vice versa while examining its effect on the ST ideology. It shows that GT relies on the most frequently used translation of the ideological lexical item in the TT available online. The International Corpus of Arabic is used to investigate the Arabic ideological lexical item, while News on Web Corpus is used to examine the English ones. The results show that GT can empower, impose or obliterate the ST ideology.
Ibrahim, D. (2021). Google Translation and the Question of Ideology in Political News Headlines. SAHIFATUL-ALSUN, 37(37), 57-80. doi: 10.21608/salsu.2021.199197
MLA
Dalia Ibrahim. "Google Translation and the Question of Ideology in Political News Headlines", SAHIFATUL-ALSUN, 37, 37, 2021, 57-80. doi: 10.21608/salsu.2021.199197
HARVARD
Ibrahim, D. (2021). 'Google Translation and the Question of Ideology in Political News Headlines', SAHIFATUL-ALSUN, 37(37), pp. 57-80. doi: 10.21608/salsu.2021.199197
VANCOUVER
Ibrahim, D. Google Translation and the Question of Ideology in Political News Headlines. SAHIFATUL-ALSUN, 2021; 37(37): 57-80. doi: 10.21608/salsu.2021.199197
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