Disambiguating Hindi Words Using N-Gram Smoothing Models

Word sense disambiguation is widely studied and discussed area of NLP for any natural language under consideration. Words have different senses. The task of selecting the correct sense for a word is called word sense disambiguation. In Machine Translation the problem when we translate the ambiguous words. To resolve this problem we develop Word Sense Disambiguation module that resolve the problem of ambiguity of Hindi words of a particular sentence. Deleted Interpolation and Back-Off, N-gram smoothing models are used to implement Word Sense Disambiguation. we have used the tri-gram to implement these models. we use a dictionary based approach.