Syntactic analyzer using morphological process for a given text in natural language for Sense Disambiguation

In this paper, we present the work related to syntactic annotation of Marathi text using Ruled-based approach which is very essential in Sense Disambiguation of a natural language text. We have implemented a system for generating and applying natural language patterns to overcome the sense ambiguity problem. We manipulate the grammatical structure of sentence to give the correct output for Marathi Language. Some patterns describe the main constituents in the sentence and some, the local context of the each syntactic function. We present the results of our work and discuss possible refinements of the method from a linguistic point of view. This paper also discusses the morphological analysis method used for Marathi Language. Morphological Analyzer is designed to find a root word of a given word and can be used in Gender Recognition as well during the syntactic analysis for a given sentence.