Hierarchical Annotation and Automatic Error-Type Classification of Japanese Language Learners’ Writing

Abstract

Recently, various types of learner corpora have been compiled and utilized for linguistic and educational research. As web-based application programs have been developed for language learners, we can now collect a large amount of language learners' output on the web. These learner corpora include not only correct sentences but also incorrect ones, and we aim to take advantage of the latter for linguistic and educational research. To this end, this study aims to automatically classify incorrect sentences † ,