LOSS AND GAIN IN BILINGUAL ONLINE NEWS TEXT
ADRIAN RASYKI
UNIVERSITAS NEGERI MEDAN
Abstract
This research was aimed to investigate the loss and gain in translation process based on the equivalence in bilingual online news text. The objective of the research is to find out the kinds of loss and gain that found in the news text. Descriptive qualitative method was used in this research. Ten online news articles taken from berita2bahasa.com from june to july 2019 will be used as sources of data. The data of this study are text from both Source and Target Text consists of loss and gain elements based on equivalence found in 10 bilingual news articles. The text will be identified whether Loss and Gain information found based on equivalence theory. The results showed that there are different kinds of loss and gain that found in the texts in any level, such as word, phrase, and clause level. The paper notes that the use of Loss and Gain in news text is to achieve naturalness in translation. Since the translator can make the readers misunderstood of the original content of the source text, thus in translating news text the translator should have vast knowledge in both ST and TT to make the news text readable.
Keywords: loss and gain, bilingual news, equivalence
Topic: Social,Language and Cultural Education