A Rule based Kannada Morphological Analyzer and Generator using Finite State Transducer | Zendy

Ramasamy Veerappan | Zendy; P J Antony | Zendy; S. Saravanan | Zendy; K. P. Soman | Zendy

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A Rule based Kannada Morphological Analyzer and Generator using Finite State Transducer

Author(s) -

Ramasamy Veerappan,

P J Antony,

S. Saravanan,

K. P. Soman

Publication year - 2011

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/3333-4583

Subject(s) - computer science , agglutinative language , morpheme , natural language processing , artificial intelligence , machine translation , generator (circuit theory) , part of speech , lexicon , root (linguistics) , set (abstract data type) , verb , word (group theory) , spectrum analyzer , linguistics , power (physics) , programming language , telecommunications , physics , quantum mechanics , philosophy

M orphology plays an essential role in machine translation and many other natural language processing applications. Developing a well fledged morphological analyzer and generator (M AG) tools for highly agglutinative language like Kannada is a challenging task. The function of morphological analyzer is to return all the morphemes and their grammatical categories associated with a particular word form. For a given root word and grammatical information, morphological generator will generate the particular word form of that word. In the proposed project, we have developed a rule based M AG using finite state transducer. This project has been developed as part of the development of a machine translation system for English to Kannada language. The performance of the system was tested randomly against a set of lexicon containing approximately twenty thousand root words including noun, verb, adjectives and adverbs.

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