Some recent attempts [5, 8, 11, 12, 15] also have been made to model the dynamics of language in terms of word senses. One of the studies in this area has been presented by <cite>Mitra et al. [19]</cite> where <cite>the authors show</cite> that at earlier times, the sense of the word 'sick' was mostly associated to some form of illness; however, over the years, a new sense associating the same word to something that is 'cool' or 'crazy' has emerged. <cite>Their study</cite> is based on a unique network representation of the corpus called a distributional thesauri (DT) network built using Google books syntactic n-grams. <cite>They have used</cite> unsupervised clustering techniques to induce a sense of a word and then compared the induced senses of two time periods to get the new sense for a particular target word.