This paper deals with the effective design and implementation of the morphological analyser of Oriya, which is a morphologically rich language derived from Sanskrit. The most of the morphemes in Oriya coordinate with the root words in the form of suffixes. Information such as Part of Speech (PoS), Case-relation, number, person, tense, aspect and mood are all conveyed through morphological attachments to the root of nominal or verbal words. This makes morphological analyser and generator of Oriya words a challenging task which is very essential tool in the area of Machine Translation, Parser, Spell Checker, OriNet (WordNet for Oriya), PoS tagging etc. This paper elucidates the simple and efficient computational model for Oriya morphology based on finite state transducers.
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OriNet (WordNet for Oriya language) is an on-line lexical database in which Oriya nouns, verbs, adjectives, adverbs and indeclinable have been organized through semantic relations such as synonym, antonym, hypernym, hyponymy, meronym, holonym and entailment. The semantic relations of noun concept in OriNet have been organized as per the explanation of WordNet and Indian logic. Besides, some other relative information such as "English meaning", "definition", "examples", "syntactic category", "morphology" etc., have been provided in each noun concept. The organization is informative and relational, which involves the above semantic relations that any information regarding a noun concept can be obtained. The system is designed on the basis of file management system having user-friendly browser.
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