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.
학술저널
Full-text AI
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
This study examines the pronunciation errors of onset stop consonants made by English learners when reading sentence-level scripts in Korean. The analysis is grounded in a dataset consisting of 7,650 sentences, encompassing a total of 319,777 syllables. This dataset was extracted from a corpus named “A Collection of Foreigners’ Korean Speech Data for AI Training.” English speakers, accustomed to a two-way voicing contrast in their L1 stops, often struggle with the three-way contrast in Korean stop sounds. We conducted a data analysis to explore two main aspects: the level of pronunciation difficulty across the three categories of Korean stop sounds as reflected in error rates and prevalent substitutes for mispronounced stops. Notably, tense stops exhibit the highest error rates, contrary to earlier studies emphasizing lax stops as the most challenging for English learners of Korean (Jo 2005, Kim et al. 2006, among others). The error rates in the pronunciation of Korean onset stop sounds exhibit an inverse relationship with the degree of aspiration in onset stops, categorized as unaspirated (tense), slightly aspirated (lax), and heavily aspirated (aspirated). This inverse correlation is also reflected in error realization patterns, where aspirated stops, which showed the lowest error rates, frequently substitute mispronounced sounds. The findings imply that the production error is associated with the amount of aspiration in the target sounds that claimed to be closely related to the length of VOT (Awoonor-Aziaku 2021, Kim 2021, Liu et al. 2007). Additionally, there is a tendency for word-initial lax stops to differentiate from word-internal lax stops, indicating English speakers’ sensitivity to voicing. Our corpus analysis findings align with previous studies by Kong et al. (2022), among others, highlighting the dominant role of VOT as a cue in English learners of Korean learning Korean stops.
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) : I410-151-24-02-089270720
