Detection of Japanese Homophone Errors by a Decision List Including a Written Word as a Default Evidence

In this paper, we propose a practical method to detect Japanese homophone errors in Japanese texts. It is very important to detect homophone errors in Japanese revision systems because Japanese texts suffer from homophone errors frequently. In order to detect homophone errors, we have only to solve the homophone problem. We can use the decision list to do it because the homophone problem is equivalent to the word sense disambiguation problem. However, the homophone problem is different from the word sense disambiguation problem because the former can use the written word but the latter cannot. In this paper, we incorporate the written word into the original decision list by obtaining the identifying strength of the written word. The improved decision list can raise the F-measure of error detection.