컴퓨터보조통역교육(CAIT)을 위한 LMS 기반 자동 어노테이션 저작 도구 개발

• Published in: 통번역학연구 Vol. 29; no. 1; pp. 79 - 113
• Main Authors: 이주리애, 김진동, 박현석, 박혜경, 손지봉, 오유란, 상우연, 김세연, 임주원, 조현식, 김남형, 김건우, 강효은
• Format: Journal Article
• Language: Korean
• Published: 통번역연구소 28.02.2025
• Subjects: 통역번역학; 음성인식(STT); automatic annotation; 저작 도구 (Authoring Tool); 자동 어노테이션; computer-assisted interpreter training (CAIT); authoring tool; 학습관리시스템(LMS); learning management system (LMS); speech-to-text (STT); 컴퓨터 보조 통역 교육(CAIT)
• ISSN: 1975-6321; 2713-8372

This study focuses on the development of a learning management s ystem (LMS)-based automatic annotation authoring tool for computer -assisted interpreter training (CAIT). The primary goal of the research is to establish a specialized LMS that integrates AI-powered speech-to -text (STT) and automatic annotation functionalities to create an effici ent feedback system. Through the use of external APIs (Application P rogramming Interface), the tool implements automatic detection of di sfluency elements such as fillers, pauses, and repetitions in STT-gen erated interpreting outputs, which are visualized using a TextAE (Tex t Annotation Editor) program. Additionally, the system enhances obj ectivity in evaluation by providing visualized assessment results and supports autonomous practice for learners through a self-study featu re. The significance of this study lies in its effective application of AI technologies to interpreter training, enabling an integrated system th at encompasses task creation, execution, and evaluation in one platf orm. It is anticipated that this research will contribute to the digital tr ansition of interpreter training and improve educational efficiency.