Machine Translation has been one of the prominent areas of research in Artificial Intelligence (AI) and Natural Language Processing (NLP). Although this area has seen a lot of research and we have achieved some major breakthroughs, but still a fully automatic high-quality machine translation remains a distant possibility. One of the major reasons is the lack of resources in the languages for which the translation is to done. One major bottleneck is lack of availability of parallel corpus. In this research, we have tried to address this issue. When we don't have parallel corpus available corpus available for a particular language pair then how can we implement a machine translation system for it.