It is known that SMT produces more unknown words resulting in the bad translation quality if the morphological divergence between the source and target language is high. Koehn and Knight (2003) , Popovic and Ney (2004) and<cite> Popović et al. (2006)</cite> have demonstrated ways to handle this issue with morphological segmentation of words before training the SMT system.