기계번역의 문학번역 적용에 관한 예비 연구: 2025년 챗GPT와 NMT 결과물을 중심으로
A preliminary study on the application of machine translation to literary translation: Focusing on ChatGPT and NMT outputs
- 발행
- 2026 등록KCI API에는 발행일 항목이 없어 원문 등록일을 쓰고 있습니다. 실측으로 발행보다 최대 6년 늦습니다 — 재수집하면 발행연월로 바뀝니다.
- 소속·발행
- 중앙대학교
- 출처
- 국내 KCI
- DOI
- 10.15749/jts.2026.27.1.006
- 원문
- 원문 보기 ↗
개념
키워드
문학번역, 기계번역, 신경망번역, 거대언어모델, 챗GPT, Literary translation, machine translation, NMT, LLM, ChatGPT
초록
Recent advances in machine translation have expanded its perceived applicability beyond informational texts to the domain of literary translation, particularly through the use of large language models with prompt-based interaction. However, literary translation differs fundamentally from general translation in that it requires the recreation of aesthetic form, cultural context, and narrative voice rather than the mere transfer of propositional meaning. Accordingly, this study investigates the extent to which neural machine translation (NMT) and ChatGPT-based translation have developed in comparison with earlier machine translation outputs. In addition, it examines whether ChatGPT-based translation outperforms NMT in literary translation tasks through automatic evaluation, expert assessment, and quantitative error analysis. The results indicate that ChatGPT demonstrates overall improvements in translation quality and stronger contextual understanding, suggesting its potential usefulness as a supportive tool in literary translation. Nevertheless, persistent limitations remain, including omissions, overgeneration, lexical inconsistency, inadequate handling of out-of-vocabulary items,