期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2016
卷号：11
期号：2
页码：57-62
语种：English
出版社：Kassel University Press
其他摘要：This study constructed a computer scoring model for Chinese EFL learners’ English-to-Chinese translations using multidisciplinary techniques in corpus linguistics, natural language processing, information retrieval and statistics. The proposed model, once implemented as computer software, can score English-to-Chinese translations in large-scale examinations. This study built five tentative scoring models with 50, 100, 130, 150 and 180 translations as the training set for 300 translations of an expository writing. The correlation coefficients between the computed scores of these models and human-assigned scores were above 0.8. The results further indicated that the computed scores with 130 training translations were closest to human-assigned scores. Therefore, it was concluded that the text features extracted in this research were effective and the finalized model can produce reliable scores for Chinese EFL learners’ English-to-Chinese expository translations.
关键词：Automated scoring;English-to-Chinese translation;Multidisciplinary technologies;Text features
