A Morphological Parser for Sinhala Verbs

T.N.E. Fernando, A.R. Weerasinghe

ABSTRACT

This paper presents a morphological parser capable of analyzing and generating Sinhala verbs. Morphological analysis and generation plays a vital role in many applications related to natural language processing, such as spell checkers, grammar checkers, intelligent information retrieval, machine translation and other complex applications. The parser consists of a lexicon of more than 400 verb stems and handles 45 inflectional rules for each stem. Analyses produces the verb stem together with its feature tags depicting verb class, person, number, tense, gender, mood, voice, etc. The parser is modelled in the framework of two level morphology model using Xerox finite state morphology tools. To our knowledge, this is the first such parser for Sinhala verbs.