Abstract: In this paper we present a statistical method using principal component analysis and latent semantic indexing to solve the problem of word sense induction and use the generated sense inventory to perform word sense disambiguation. We use standard co-occurrence graph algorithms and word dependency matrices (context words, dependency relations) and map them to a matrix.