文章基本信息

标题：SST speech corpus of Japanese learners’ English and automatic detection of learners’ errors
本地全文：下载
作者：Emi Izumi ; Kiyotaka Uchimoto ; Hitoshi Isahara 等
期刊名称：ICAME Journal
印刷版ISSN：0801-5775
电子版ISSN：1502-5462
出版年度：2004
卷号：2004
期号：28
页码：31-31–48
出版社：School of Computing
摘要：To keep up with information-driven society, one of the most important tasks is to acquire foreign language skills, especially English, for international communication. Of the four main skills for language acquisition (reading, writing, listening, and speaking), we are focusing on speaking as it is the most difficult skill for Japanese learners to acquire. CLE (Corpus of Learner English) research is becoming increasingly popular in Japan, but most existing learner corpora focus on learners’ written language. In order to construct a model of the developmental stages of Japanese learners’ speaking ability, we decided to compile a largescale speech corpus called “The SST Corpus”. Our corpus is entirely based upon the audio-recordings of an English oral proficiency interview test called the Standard Speaking Test (SST).