AN ANALYSIS OF TRANSLATION TECHNIQUESudAND QUALITY OF THE URL: uden.wikipedia.org/wiki/Boston_Tea_Party udTRANSLATED BY GOOGLE TRANSLATE

摘要

This research belongs to a qualitative research employing descriptive udmethod. It aims to describe the translation technique occurrs in the translation and udthe quality assessment that covers accuracy and acceptability of the sentence of uden.wikipedia.org/wiki/Boston_Tea_Party web page translated by Google udTranslate. This research applied total sampling as the sampling technique since all udsentences on en.wikipedia.org/wiki/Boston_Tea_Party web page were taken as uddata. This research was conducted based on primary and secondary data. The udprimary data consists of 117 sentences taken from uden.wikipedia.org/wiki/Boston_Tea_Party web page. The secondary data were udtaken by distributing questionnaire to some raters.udThe analysis shows that Google Translate applied 7 kinds of translation udtechniques to translate en.wikipedia.org/wiki/Boston_Tea_Party web page. The udtechniques are literal, amplification, reduction, transposition, borrowing, calque, udand particularization.udThe analysis on accuracy assessment shows that there are 18 data udconsidered to be accurate, 96 data considered to be less accurate. And, 3 data udconsidered to be inaccurate. It means that, in general, the translation is less udaccurate.udThe analysis on acceptability assessment shows that there are 20 data udconsidered to be acceptable, 87 data considered to be less acceptable, and, 10 data udconsidered to be unacceptable. It means that, in general, the translation is less udacceptable.udThe analysis also shows that implementation of techniques makes the udtranslation less accurate and less acceptable. It means that Google Translate can udnot determine a suitable technique to produce a quality translation in translating udsentences found on en.wikipedia.org/wiki/Boston_Tea_Party web page.udIt is hoped that this thesis will be beneficial for the students, especially udEnglish Department Students, to enlarge their translation knowledge of web page udtranslation, especially which is translated with online machine translation. For the improvement of web page online translator technology, this research also udrecommends Google Translate to enrich its translation database and upgrade its udengine of machine translation tool. Also, this research can be a consideration for udinternet users to use online translator service for translating a web page.