Even though, a lot of research has already been done on Machine Translation, translating com- plex sentences has been a stumbling block in the process. To improve the performance of ma- chine translation on complex sentences, simplifying the sentences becomes imperative. In this paper, we present a rule based approach to address this problem by simplifying complex sen- tences in Hindi into multiple simple sentences. The sentence is split using clause boundaries and dependency parsing which identifies different arguments of verbs, thus changing the grammatical structure in a way that the semantic information of the original sentence stay preserved.

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