@InProceedings{oda-EtAl:2016:COLING,
  author    = {Oda, Yusuke  and  Kudo, Taku  and  Nakagawa, Tetsuji  and  Watanabe, Taro},
  title     = {Phrase-based Machine Translation using Multiple Preordering Candidates},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1419--1428},
  abstract  = {In this paper, we propose a new decoding method for phrase-based statistical
	machine translation which directly uses multiple preordering candidates as a
	graph structure.
	Compared with previous phrase-based decoding methods,
	our method is based on a simple left-to-right dynamic programming in which no
	decoding-time reordering is performed.
	As a result, its runtime is very fast and implementing the algorithm becomes
	easy.
	Our system does not depend on specific preordering methods as long as they
	output multiple preordering candidates,
	and it is trivial to employ existing preordering methods into our system.
	In our experiments for translating diverse 11 languages into English,
	the proposed method outperforms conventional phrase-based decoder in terms of
	translation qualities under comparable or faster decoding time.},
  url       = {http://aclweb.org/anthology/C16-1134}
}