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생성형 인공지능 번역과 한국인 영어학습자 번역 비교분석: 문학작품 및 대중문화 콘텐츠를 중심으로

Comparative Analysis Between Generative AI Translation and Korean English learners’ Translation: Focusing on Literary Works and Popular Culture Content.

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초록

The current study conducted a qualitative analysis comparing translations by generative AI and Korean English learners to determine which is superior and in what ways generative AI might surpass human translations. A total of 12 participants presented their translations alongside machine or generative AI translations. The study focused on comparing translations from ChatGPT, a leading example of generative AI perceived to have overcome the limitations of traditional machine translation, with those of Korean English learners. The results showed that while translations of both literary works and popular culture content were compared, neither generative AI nor human translations proved to be unequivocally superior. An impressive aspect of this study was the observation that, compared to the past, generative AI has significantly improved its ability to convey the author’s intent and the emotional nuances often considered a uniquely human domain. As a result, in some instances, the translations by ChatGPT, a generative AI, were deemed superior, with participants acknowledging that it sometimes produced translations that they had not considered, surpassing their own efforts. This led to the conclusion that, over time, generative AI translation capabilities could match or even exceed those of human translators.

Abstract

The current study conducted a qualitative analysis comparing translations by generative AI and Korean English learners to determine which is superior and in what ways generative AI might surpass human translations. A total of 12 participants presented their translations alongside machine or generative AI translations. The study focused on comparing translations from ChatGPT, a leading example of generative AI perceived to have overcome the limitations of traditional machine translation, with those of Korean English learners. The results showed that while translations of both literary works and popular culture content were compared, neither generative AI nor human translations proved to be unequivocally superior. An impressive aspect of this study was the observation that, compared to the past, generative AI has significantly improved its ability to convey the author’s intent and the emotional nuances often considered a uniquely human domain. As a result, in some instances, the translations by ChatGPT, a generative AI, were deemed superior, with participants acknowledging that it sometimes produced translations that they had not considered, surpassing their own efforts. This led to the conclusion that, over time, generative AI translation capabilities could match or even exceed those of human translators.

참고문헌 (13)

  1. 강준수, "디지털 리터러시 향상을 위한 ChatGPT 응답의 언어적 특성분석 : 코퍼스 연구", 영어학연구, 30(2), pp.57~79 (2024)
  2. 권서경, "생성형 인공지능 ChatGPT의 영어 독해 문항 풀이 능력 탐색", 영어교과교육, 22(2), pp.147~172 (2023)
  3. 박수정, "챗GPT의 아이러니 번역 활용 가능성 고찰", 번역학연구, 24(2), pp.131~160 (2023)
  4. 성민창, "ChatGPT로 분석한 2022 교육과정 활용 유의사항 : 영어과 의사소통 기능과 예신문을 중심으로", 영어교과교육, 22(2), pp.173~195 (2023)
  5. 신동광, "유도(guided)쓰기 활동에서 ChatGPT의 활용 방안", 영어교과교육, 22(2), pp.197~217 (2023)
  6. 윤여범, "ChatGPT의 한영 번역 도구로서의 정확성 분석", 한국초등교육, 34(4), pp.215~231 (2023)
  7. 이유정, "현대시 인공지능(AI)번역의 오류 양상 연구-ChatGPT-3. 5를 활용한김소월 시 번역결과물을 중심으로-", 문화와융합, 45(10), pp.97~110 (2023)
  8. 이정화, "한국어 구어 문장 파파고 한-영 번역 오류 유형 고찰", 현대영어교육, 23(1), pp.56~65 (2022)
  9. 차수미, "초등영어교육에서 ChatGPT의 활용 방안 탐색", 멀티미디어언어교육, 26(3), pp.130~150 (2023)
  10. 최윤희, "ChatGPT의 활용이 예비영어교사의 영어 요약하기 과정에 미치는 영향분석", 멀티미디어언어교육, 26(2), pp.104~132 (2023)
  11. 한유리, "3D 아바타를 사용한 영어수업의 교육적 기대 효과 연구 : 학습동기 중심으로", 영어학연구, 29(3), pp.97~116 (2023)
  12. 황요한, "온라인 기계 번역기의 과거, 현재 그리고 미래 : 오류분석을 중심으로", 언어연구, 36(2), pp.191~210 (2020)

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