2014/01/20 by Taraka Rama, Rama, Taraka, Karthik Gali +3 · 2 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Algorithms and Data Compression
paper · pdf · doi:10.48550/arxiv.1401.4869
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.