Many model components of competitive statistical machine translation (SMT) systems are based on rather simplistic definitions with little linguistic grounding, which includes the definitions of phrase pairs, lexicalized reordering, and n-gram language models.
earlier work has also shown that statistical MT can benefit from additional linguistically motivated models.