Statistiniai, loginiai ir kompiuterių mokymosi metodai lietuvių kalbos morfologiniam daugiareikšmiškumui riboti

Abstract

The methods that have been used for solving disambiguation of morphological ambiguity of Lithuanian language are introduced in this article. These are as follows: statistical, logical, and machine learning. We claim these methods to be useful for solving automated disambiguation (e.g., word laimės (a noun or a verb)). We think that the context of a word plays a big role for morphological disambiguation. Related problems and results of the experiment are presented in this paper