Deeper error analysis of Lithuanian morphological analyzers

Abstract

In this research we continue the intrinsic evaluation of two the most popular and publicly available Lithuanian morphological analyzers-lemmatizers Lemuoklis and Semantika.lt. In our previous paper [1] we reported the comparative results of the shallow morphological analysis mostly covering coarse-grained part-of-speech tags. The results were better for Semantika.lt on 3 domains (administrative, fiction and periodicals), but not on the scientific texts. The deeper analysis of the fine-grained morphological categories (case, gender, number, degree, tense, mood, person, and voice) gave a more precise account of the strengths and weaknesses of both analyzers. Further investigations showed that the higher performance of Lemuoklis analyzer on the scientific domain is probably related to a more successful analyse of long distance agreements, in a spite of an overall slight superiority of Semantika.lt analyzer.