The size and quality of the parallel corpus used for training, greatly impacts the quality of translation of an SMT system. But, there are very few sources of parallel corpora for many language pairs. This is a major hurdle in the development of good SMT systems. To alleviate this problem, comparable or non-parallel corpora, which are largely available, can be exploited to extract parallel data...