An error measure for morphological analysis using similarity measures

Abstract

The aim of this paper is to propose a morphological error measure in order to automatically detect morphological errors such as part-of-speech tagging errors when analyzing. In particular, we focused on three similarities as the measure and experimented using them. From our experimental results, it was found that the precision of one of measures was over 70% and it functioned well.