관광 안내문 번역에서 생성형 인공지능의 효과성 분석:전주 관광지를 중심으로

• 영문명: An Analysis of Generative AI Effectiveness in Translating Tourism Content: Focusing on Jeonju Tourist Sites
• 발행기관: 한국영어학학회
• 저자명: 신동진(Dong-Jin Shin) 이고운(Goun Lee)
• 간행물 정보: 『영어학연구』제31권 4호, 97~117쪽, 전체 21쪽
• 주제분류: 어문학 > 영어와문학
• 파일형태: PDF
• 발행일자: 2025.11.30

국문 초록

This study investigates the effectiveness of generative AI in translating tourism texts by comparing official English descriptions on the Visit Jeonju website with AI-generated translations of the same Korean source material. Focusing on Jeondong Cathedral, a prominent heritage site in Jeonju Hanok Village, the study evaluates both English versions across four dimensions: clarity, naturalness, perceived accuracy, and overall quality. Thirty-six international students in Korea—most with intermediate or higher English proficiency and prior translation experience—rated each text under both single-presentation and paired-comparison conditions using Likert-type scales. Repeated-measures ANOVAs revealed that the AI translation received significantly higher scores for clarity, naturalness, and overall quality, while no significant difference emerged for perceived accuracy. Paired-comparison t-tests likewise favored the AI translation for clarity and overall quality, though effect sizes remained modest. Qualitative feedback indicated that participants appreciated the AI text’s smoother flow and reader-friendly structure, whereas the website text was perceived as more detailed and authoritative. These findings suggest that generative AI can serve as a practical tool for tourism translation, particularly when resources are limited, but they also underscore the ongoing need for expert review to ensure cultural fidelity and factual precision.

목차

1. 서론

2. 이론적 배경

3. 연구방법

4. 결과분석

5. 결론 및 제언

참고 문헌

키워드

machine translation AI-based translation generative artificial intelligence Tourism translation translation quality assessment