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초록
This study focuses on enhancing multilingual web content readability, particularly in Korean-to- Chinese translation, while maintaining font consistency. The developed system utilizes OCR technology to extract text from Korean web pages, automatically translates it into Chinese using a translation API, and recommends suitable Chinese fonts based on a clustering-based similarity method. This approach aims to preserve the original design intent and information delivery while optimizing readability. It offers practical advantages and contributes to improving communication efficiency and user satisfaction in multilingual digital environments.
키워드
OCR; Translation; K-Means; Font Recommendations; Mapping Combination
- 제목
- TransFont: 웹 페이지 번역 및 K-Means 군집화 기반 한국어-중국어 유사 글꼴 추천 시스템
- 제목 (타언어)
- TransFont: A system for web page translation and font consistency between Korean and Chinese
- 저자
- 조우진; 김윤주; 김형준; 임순범; 송유정
- 발행일
- 2024-01
- 저널명
- 멀티미디어학회논문지
- 권
- 27
- 호
- 1
- 페이지
- 134 ~ 145