In this paper we explore various parameter settings of the state-of-art Statistical Machine Translation system to improve the quality of the translation for a `distant' language pair like English-Hindi. We proposed new techniques for efficient reordering. A slight improvement over the baseline is reported using these techniques. We also show that a simple pre-processing step can improve the quality of the translation significantly.
@article{arxiv.1401.4869,
title = {Does Syntactic Knowledge help English-Hindi SMT?},
author = {Taraka Rama and Karthik Gali and Avinesh PVS},
journal= {arXiv preprint arXiv:1401.4869},
year = {2014}
}