Automatic machine translation selection scheme to output the best result
Keiji Yasuda, Fumiaki Sugaya, Toshiyuki Takezawa, Seiichi Yamamoto, Masuzo Yanagida · 2002
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.