A Rule Based Morphological Analyzer and a Morphological Disambiguator for Kazakh Language

Abstract

Morphological analysis is a very critical issue especially for natural language processing related tasks on agglutinative languages. This study gives the implementation details of a rule-based morphological analyzer of Kazakh language which is an agglutinative language. A detailed computational analysis of Kazakh language morphology such as formalization of alternation and morphotactic rules for Kazakh language is worked out in order to create the morphological analyzer. In the implementation of the morphological analyzer, alternation and morphotactic rules of Kazakh language are represented by two-level morphology rules and Foma finite state compiler is employed. This is the first detailed computational analysis of Kazakh language from morphological view. A word can have more than one morphological parse but only one of its morphological parses is valid in a given sentence. A morphological disambiguator disambiguates words by selecting one of possible parses of words. In this paper, we also present a transformation-based morphological disambiguator for Kazakh language and it is a variation of Brill tagger.