In order to create an SMT system for a specific domain which does not have sufficient parallel training data, domain adaptation methods are necessary to best utilise supplementary parallel training data from available out-of-domain or related-domain corpora.
the SMt system used in our experiments is based on the standard phrase-based SMt toolkit: Moses .