@InProceedings{kunchukuttan-bhattacharyya:2016:VarDial3,
  author    = {Kunchukuttan, Anoop  and  Bhattacharyya, Pushpak},
  title     = {Faster Decoding for Subword Level Phrase-based SMT between Related Languages},
  booktitle = {Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial3)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {82--88},
  abstract  = {A common and effective way to train translation systems between related
	languages is to consider sub-word level basic units. However, this increases
	the length of the sentences resulting in increased decoding time. The increase
	in length is also impacted by the specific choice of data format for
	representing the sentences as subwords. In a phrase-based SMT framework, we
	investigate different choices of decoder parameters as well as data format and
	their impact on decoding time and translation accuracy. We suggest best options
	for these settings that significantly improve decoding time with little impact
	on the translation accuracy.},
  url       = {http://aclweb.org/anthology/W16-4811}
}