Automatic error detection in the Japanese learners' English spoken data
Emi Izumi, Kiyotaka Uchimoto, Toyomi Saiga, Thepchai Supnithi, Hitoshi Isahara · 2003
This paper describes a method of detecting grammatical and lexical errors made by Japanese learners of English and other techniques that improve the accuracy of error detection with a limited amount of training data.In this paper, we demonstrate to what extent the proposed methods hold promise by conducting experiments using our learner corpus, which contains information on learners' errors.