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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2004.1
- 수록면
- 171 - 194 (24page)
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초록· 키워드
오류제보하기
Serious inherent problems with practicality, intra-rater and inter-rater reliability overshadow the known positive washback effects of performance assessment in language education. In particular, it has been well- documented that inter-rater reliability poses a serious threat to overall test validity, since individual raters necessarily measure performance according to their own subjective severity criteria in language proficiency. However, language testing has witnessed a remarkable series of breakthroughs in performance assessment during the recent advent of the information era. One such breakthrough utilizes state-of-the-art automatic speech recognition (ASR) technology for oral proficiency interviews(OPI). Granting that current forms of ASR technologies may not produce results with the reliability needed to accommodate high- stakes standardized test administration, they do offer aid in approaching the thorny issues of practicality and inherent human inter-rater subjectivity. Accordingly, this paper is intended to investigate the degree to which ASR-based OPI ratings match similar human-conducted OPI ratings by employing correlational analyses on the basis of degrees of rater severity. Furthermore, this paper attempts to explore a method of enhancing the robustness of ASR-based OPI ratings which capitalizes on suprasegmental information by measuring fluency based principally on the test-takers’ response time length.
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