Abstract:
This paper explores a computational model
for Kannada nouns. This is a single tool
performing analysis and generation in reverse
direction. Kannada has rich morphology with
inflections -vibhakti, derivations and compound
formation. In depth study of words and its
structures is done using this tool. Through
study of noun from computational linguistics
point of view is important. An exhaustive
version of the morphological analyzer and
generator tool for nouns using FST is described
here. Morphological analyzer/generator is
designed to interface with a knowledge-based
machine translation (MT) system. Our system
uses a hierarchy (tree) structure to relate
various morphological features. Morphological
analyzer/generator for morphologically
complex and agglutinative language like
Kannada is highly challenging. The major types
of morphological process like inflection,
derivation, and compounding are handled in
this system. All these developments have
worked on the basis of syntactic structure of
Kannada language. A robust analyzer is useful
for language learning as well as for machine
translation applications. The tool is tested
against 10000 words and has 98% recognition
success rate.