Translation of Political Texts (Arabic to Farsi) with the Approach of Critical Discourse Analysis

Critical discourse analysis gave the translators the permission to violate the principle of trustworthiness, and in the translation of texts that contain ideology, to recreate and make their language choices in line with the culture and ideology of the target text. On the other hand, the speed and intensity of the impact of media discourse has made the media the center of attention of politicians and those in power, and a tool for the dissemination of political discourses. Therefore, this research aims to analyze the application of the strategies presented in the critical discourse analysis approach in the process of translating political texts using a descriptive-analytical method and using the Vandyke model. The research data has been selected from the two news networks Al-Arabiya and Al-Sharq in the period of 2019 to 2022, focusing on the Yemen war. And the findings of the research indicate that these two news networks use the strategies of minimization, disclosure, delegitimization, legitimization, prejudice, empathy, generalization and magnification from the axis of syntax, and the strategies of initiation, marginalization and word order from the axis of syntax, the strategy of playing with numbers from the axis of rhetoric, the strategy of choosing words aligned from the axis of style, two strategies of anti-realistic forms and truth from the axis of reasoning and the strategy of changing behavioral actions from the axis of action, trying to present a negative representation of The actions of the Houthis are a positive representation of the actions of Saudi Arabia. And in the process of translation, the translator must reverse these representations in line with the politics of her country by using similar and sometimes opposite strategies to the strategies in the source tex.