Improving Generation in Machine Translation by Separating Syntactic and Morphological Processes
Nayyara Karamat, Muhammad Kamran Malik, Sarmad Hussain · 2011
This paper presents a generation approach in a Lexical Functional Grammar (LFG) based machine translation system that subdivides the generation process and uses rule based modules to solve the problem. The results show improvement in performance versus earlier work which generates the translation into Urdu using a single integrated process.