Using Translog To Analyze Self-Corrections in Translating Advertisement Texts by Professional Translators

Claria Brigita Silaban, Rudy Sofyan, Dian Marisha Putri
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Abstract

This study aims to determine the method and type of self-corrections done by two professional translators in translating texts from English into bahasa Indonesia. This research used a descriptive qualitative method. The data were the recording of translating advertisement texts from English into bahasa Indonesia process using Translog II and Camtasia Studio 8. The findings are (1) Meaning Correction is the most frequent type of self-correction with the frequency of 36.2%; (2) Return Correction is never used by the professional translators; (3) The professional translators apply the multidirectional method in doing self-corrections. Finally, it can be concluded that self-correction is the crucial part that the translator should not skip in producing a better quality translation. This research also proves that translators cannot rely entirely on Google Translate as it cannot ultimately deliver the meaning from the source text (ST) into the target text (TT). Consequently, the translation provided by Google Translate needs to be revised.
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用Translog分析专业译者翻译广告语篇的自我修正
本研究旨在探讨两位专业译者在将英语文本翻译成印尼语时的自我纠错方式和类型。本研究采用描述性定性方法。数据是使用Translog II和Camtasia Studio 8记录广告文本从英语翻译成印文的过程。研究发现:(1)自我纠错频率最高的是词义纠错,纠错频率为36.2%;(2)专业翻译人员从不使用Return Correction;(3)专业翻译人员在进行自我纠错时采用多向法。最后,可以得出结论,自我纠错是译者在提高翻译质量的过程中不可跳过的关键环节。本研究也证明了译者不能完全依赖谷歌翻译,因为谷歌翻译并不能最终将原文的意义传递到译文中。因此,谷歌Translate提供的翻译需要进行修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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审稿时长
24 weeks
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