Abstract
Machine translation systems are inefficient when translating complex sentences. An important reason for this, among others, comes from the fact that the systems translate a complex sentence without taking into account the clausal relation between main and subordinate clauses. We devise a method for recognizing and utilizing the clausal relation to make the machine translation systems self-improve their performance. First, we attempt to find the clausal relation between the two clauses in a complex sentence through a machine learning mechanism. Second, utilizing this information, we try to pre-edit or modify the sentence so that the clausal relation is expressed overtly in the modified sentence. Experiments with a machine translation system have shown that our idea and methodology improve the performance of the system.