Word Sense Disambiguation for Indian Language

Abstract

Word sense disambiguation is a part of Natural Language Processing (NLP)and tech- nique to computationally find the correct sense of the ambiguous words using the context in which they occur. It is used in many application like Machine transla- tion, Information Retrieval, Information Extraction,etc. There are many approaches for WSD like supervised, unsupervised,etc. In this thesis all the approaches are dis- cussed and Graph Based Unsupervised approach is applied with global measures for Indian Language using Hindi Word-net. Motive is to find more accuracy and Easy adaptability of WSD for Indian Language .