Automatic machine translation selection scheme to output the best result

An automatic selection method for an integrated multiple MT system is proposed. This method employs a machine learning approach to build an automatic MT selector. The selector learns based on the parameters of MT systems and the evaluation result provided by a human evaluator. An experiment is conducted on two MT systems developed in our laboratories. Experimental results show the effectiveness of the proposed method. The ratio of correct selection is 76%. According to the system performance evaluation result, the integrated MT system using the proposed method gives a better performance than each individual MT system.