한국어 의태어 기계번역과 인간번역 비교 고찰 ― 현대소설의 한중번역을 중심으로 ―

초록

This study focused on comparing and analyzing the translation results of Korean mimetic words into Chinese by human translators and three types of machine translation software: Papago, Baidu, and Google. The analyzed work is Kim Young-ha’s “The Empire of Light,” and the human translation is Xue Zhou’s “光之帝國”. There are 153 types of mimetic words in the original text, and the number of times they appear is 396. As a result of analyzing the translation situation of Korean mimetic words, Google Translate omitted the most cases without preserving the meaning of the original text, and also had the most translation errors. In contrast, Baidu omitted fewer words than human translators, and its translation results were also the most similar to human translation. Through this, we can infer that among the three types of machine translators, Google Translate has the least amount of data because deep learning has not progressed as much as the other two translators for Korean mimetic words, while Baidu Translate has the most data because deep learning has progressed the most.

키워드