We developed a new method of machine learning for converting Japanese case-marking particles when converting Japanese passive/ causative sentences into active sentences. Our method has an accuracy rate of 89.06% for normal supervised learning. We also developed a new method of using the results of unsupervised learning as features for supervised learning and obtained a slightly higher accuracy rate (89.55%). We confirmed by using a statistical test that this improvement is significant.