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
This study investigates whether individual speakers' varying palatalization rates in the environment where word-final /t/ is followed by words beginning with /j/ affect the distribution of /t/ variants in other environments in American English. Based on data from the Buckeye Corpus, we identified and classified word-final /t/ variants across four different environments, such as word-final /t/ after vowels followed by word-initial vowels, liquids, nasals, and obstruents, respectively. A total of 21,627 tokens were analyzed, and variants of /t/ were categorized as palatalized, glottalized, flapped, deleted, or unchanged. We applied Multinomial Logistic Regression to explore correlations between palatalization rates and the distribution of /t/ variants in the four environments. Results revealed that palatalization rates had minimal impact on flapping except when preceding liquids, where a proportional correlation was observed. Unchanged /t/ exhibited a proportional correlation with palatalization rates in most environments, but showed a weak inverse relationship when followed by liquids. Deletion consistently correlated proportionally with palatalization across all environments, while glottalization demonstrated a significant inverse correlation. Ultimately, as palatalization rates increase, deletion and unchanged /t/ become more favored, while glottalization is less likely to occur.
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) : I410-151-25-02-091114901
