인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
For learners of Chinese as a second language, synonyms are often recognized as an unusual linguistic phenomenon and a significant challenge. Understanding only the individual meanings of synonymous words is insufficient for achieving the ultimate goal of language learning, which is effective communication. Therefore, a clear categorization of synonyms is essential in Chinese language teaching.
This study focuses on the synonyms 轻易, 容易, and 随便 in modern Chinese, using a corpus to identify the specific features and nuances of each lexeme and to analyze their usage. Additionally, we propose educational strategies that address the semantic, syntactic, and discourse aspects of these synonyms. We also leverage generative AI to develop educational content, allowing instructors to create customized teaching materials rather than relying solely on existing web-based resources.
Future corpus-based semantic research should include not only quantitative analysis but also qualitative analysis, alongside practical suggestions for teaching methods and the development of educational content.
This study focuses on the synonyms 轻易, 容易, and 随便 in modern Chinese, using a corpus to identify the specific features and nuances of each lexeme and to analyze their usage. Additionally, we propose educational strategies that address the semantic, syntactic, and discourse aspects of these synonyms. We also leverage generative AI to develop educational content, allowing instructors to create customized teaching materials rather than relying solely on existing web-based resources.
Future corpus-based semantic research should include not only quantitative analysis but also qualitative analysis, alongside practical suggestions for teaching methods and the development of educational content.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-092234779
