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영어 발음 및 말하기 평가를 위한 코퍼스 구축 이론과 실제 Part 2 ×
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CORPUS LINGUSITICS RESEARCH Vol.8 No.1 pp.29-48
영어 발음 및 말하기 평가를 위한 코퍼스 구축 이론과 실제 Part 2
Key Words : Corpus construction,AI-assisted Language Learning,Pronunciation Assessment,Automatic Speaking Assessment
Abstract
The purpose of this study is to describe the project implementation process to build an AI-based English speaking evaluation system. The project was carried out for approximately four months from September to December 2022 with support from the Korea Intelligence and Information Society Promotion Agency. Approximately 1,000 hours of English speaking evaluation data sets were collected, purified, processed, and artificial intelligence modeled. In this paper, the organizations formed to build data are introduced, and data collection is explained in detail. In addition, the process of refining the collected data so that it can be used for speaking evaluation and artificial intelligence modeling is described, and the evaluation method for constructing speaking evaluation data is also described.