Evaluation of generality of inductive learning for preprocessing in machine translation
Y. Nagashima, Kenji Araki, Koji Tochinai · 2002
There are many machine translation systems recently. However, the results of these machine translation systems include various errors on a selection of translated word, a dependency relation and so on. The purpose of our research is to correct these errors automatically and improve the translation accuracy by preprocessing. This paper presents a method for preprocessing in machine translation system using inductive learning and results of evaluation experiment.