Improving Generation in Machine Translation by Separating Syntactic and Morphological Processes

Abstract-This paper presents a generation approach in a Lexical Functional Grammar (LFG) based machine translation system that subdivides the process and uses rule based modules to address the problem. The results show improvement in performance compared to the earlier work which generates the translation into Urdu using a single integrated process