챗GPT의 한중 통역 오류 고찰
An analysis of errors in ChatGPT’s Korean-Chinese interpretation
- 발행
- 2025 등록이 논문은 발행 시점을 확인하지 못해 원문 등록일을 적었습니다. KCI가 2005~2008년에 옛 논문을 몰아서 올린 탓에, 그 시기 등록분은 발행보다 평균 3~5년 늦습니다. 실제 발행연도는 더 이를 수 있습니다.
- 소속·발행
- 이화여자대학교
- 출처
- 국내 KCI
- DOI
- 10.15749/jts.2025.26.2.005
- 원문
- 원문 보기 ↗
개념
키워드
통역학, 챗GPT, 한중 통역, 통역 오류, Interpreting studies, ChatGPT, Korean-Chinese interpretation, interpretation errors
초록
This study investigates the types and causes of errors in Korean-Chinese interpretation outputs generated by ChatGPT. Using 60 minutes of recorded speeches and interviews, the study categorizes errors into three domains—fidelity, fluency, and pragmatics—each with its own set of subcategories. The findings reveal that accuracy-related errors—such as content distortion, omissions, grammatical mistakes, and misuse of technical terms—were frequent. Fluency-related and pragmatic errors, including awkward expressions, mispronunciations, and contextually inappropriate usage, were also observed, especially in cases involving Sino-Korean words, neologisms, unclear audio, or dialects. Most errors occurred only in speech-based interpretation, not in text-based translation of the same source, suggesting that real-time processing constraints and speech recognition issues are key factors. Technical limitations, such as fragmented output and interference from background noise, were also noted. Although honorific misuse and content addition were defined as error types, they were not detected, likely due to time constraints and limited data. The study concludes that while ChatGPT performs well over