통역 교육 콘텐츠 개발을 위한 챗GPT 프롬프트 설계: 제작과 편집을 중심으로
ChatGPT prompt design for interpreter training content development: Focusing on text creation and editing
- 발행
- 2024 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
- 중앙대학교 통역번역연구소
- 출처
- 국내 KCI
- DOI
- 10.15749/jts.2024.25.3.005
- 원문
- 원문 보기 ↗
개념
키워드
컴퓨터보조통역교육, 생성형 인공지능, 거대언어모델, 챗GPT 프롬프트, 인공지능생성콘텐츠, Computer-assisted interpreter training (CAIT), generative artificial intelligence, large language model (LLM), ChatGPT prompt, AI-generated contents (AIGC)
초록
This paper provides an in-depth analysis of prompt design for large language models (LLMs), specifically ChatGPT, and its application in interpreter education. Positioned within the framework of Computer-Assisted Interpreter Training (CAIT), this study explores how ChatGPT can assist in generating and editing interpreter training contents. By integrating a comprehensive literature review with practical applications, the research provides concrete examples of ChatGPT prompts for two primary purposes: creating new source texts and editing existing content. For content generation, the study recommends using a CORE template, leveraging materials such as press releases, news articles, and other relevant documents to initiate a prompt series. Furthermore, it highlights the inclusion of difficulty elements in source texts, such as proverbs, idiomatic expressions, numbers, and other intricate features of text composition. This research underscores the transformative potential of AI-generated content (AIGC) in enhancing interpreter education, particularly by offering a scalable solution for creating diverse and challenging training materials. The study concludes by recommending further rese