International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 27 - Number 10 |
Year of Publication: 2011 |
Authors: Ramasamy Veerappan, Antony P J, S Saravanan, Dr. Soman K P |
10.5120/3333-4583 |
Ramasamy Veerappan, Antony P J, S Saravanan, Dr. Soman K P . A Rule based Kannada Morphological Analyzer and Generator using Finite State Transducer. International Journal of Computer Applications. 27, 10 ( August 2011), 45-52. DOI=10.5120/3333-4583
Morphology plays an essential role in machine translation and many other natural language processing applications. Developing a well fledged morphological analyzer and generator (MAG) 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 MAG 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.