TRANSLATION TECHNIQUES USED BY GOOGLE TRANSLATE AND MICROSOFT TRANSLATOR IN TRANSLATING ABSTRACT TEXT

Abstract

This study aims to find out the various translation techniques used by these two machine translators and knowing the accuracy of translation engines such as Google Translate and Microsoft Translator in translating abstract texts from the research journal “The Implication of Translation Accuracy for the Improvement of Visually-Impered Translation Students' Competence: A Pedagogical Implication” compiled by Raden Arief. Nugroho, Muljono, and Mangatur Rudolf Nababan. The theory used in this research is from Molina & Albir which revealed that translation techniques as procedures to analyse and classify how translation equivalence works (2002, p.509). The results of this study indicate that these two machine translators apply different translation techniques. The translations produced by Google Translation apply more established equivalent translation techniques, because Google Translate translates whole sentences without having to translate word by word because they think the results are less accurate. While the translation results from Microsoft Translator apply literal translation techniques. Microsoft Translator tends to translate word by word so that the impression obtained from the results of this translation is considered less accurate than the results of the Google Translate translation.