Malayalam word sense disambiguation using Naïve Bayes classifier

Word Sense Disambiguation is the process of identifying accurate meaning of a polysemous words given in a context. The paper proposes a Supervised Malayalam word sense disambiguation system using Naive Bayes classifier. Word Sense Disambiguation is a complex problem in NLP because a particular word may have different meanings in different situations. For all human beings it is very easy to find out the accurate sense in a particular context but for machines it is very difficult to predict. Some extent of intelligence may add to the machine for an accurate prediction. Here this proposed system provide us 95% reliability using a corpora of 1 lakh words.