Detection of Mistakes in Japanese Learner’s Composition by Machine Learning –Detection of Grammatical Errors in a Clause–

Abstract

We aim to develop a system to detect Japanese learner’s mistakes automatically. In this paper, we proposed a method to detect mistakes by machine learning. Especially, we focus on mistakes that are grammatical errors which can be detected from an alone clause. We discussed features for machine learning and a learning method. Consequently, we found that random forest and features constructed by result of morphological analysis bring the best result, correct judgement rate is 76% for unknown data.