ANALYZING TRANSLATION STRATEGY OF ONLINE MEDIA’S NEWS CONTENT USING SKOPOS PERSPECTIVE
Abstract
This research will answer the question and correlate it with the term of translation, especially through Indonesian to English. Using Skopos theory perspective, the researcher is able to analyze several functions and translation strategies that are used in translating the content of the news articles. Vermeer's Skopos theory has three important rules, namely the Skopos rule, the Coherence rule, and the Fidelity rule. Skopos theory will also bridge the choice of Bielsa's and Bassnett's translation strategies that are suitable for use in the English version of the Antaranews article. This research method is of the library research type, starting with the collection of 11 news articles from Antara in Indonesian and English, respectively. The Indonesian articles became the subject of source language research, while the English ones became the subject of target language research. Then each article was examined carefully, sentence by sentence in order to discover which translation strategy Bielsa and Bassnet models were used. To determine the translation strategy, the researcher integrates the Skopos theory which serves as an indicator of determination in the target language. Based on the research, it was found that Antara's news articles have implemented five kinds of translation strategies, namely: Changing Title and Lead, Removing Unnecessary Information, Adding Important Background Information, Changing the Order of Paragraphs, and Summarizing Information. The findings in the form of translation strategies that can be determined using Skopos theory in this study are expected to help research related to the world of translation at large.
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PDFDOI: https://doi.org/10.24114/jalu.v12i4.52490
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