Comparative study on multi-systems combination in machine translation

Because various machine translation (MT) systems adopt different language rules and statistical methods, their performances are different. To combine different MT systems and make full use of their advantages so as to improve comprehensive performance of the combination MT system, has become an important development trend in the research field. This paper divides the current combination methods into serial, parallel and hybrid combinations. A detailed introduction and comparison of the three methods are given. In the last, authors briefly summarize different methods and present the better method for multi-systems combination.