@InProceedings{kinoshita-oshio-mitsuhashi:2017:WAT2017,
  author    = {Kinoshita, Satoshi  and  Oshio, Tadaaki  and  Mitsuhashi, Tomoharu},
  title     = {Comparison of SMT and NMT trained with large Patent Corpora: Japio at WAT2017},
  booktitle = {Proceedings of the 4th Workshop on Asian Translation (WAT2017)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {140--145},
  abstract  = {Japio participates in patent subtasks (JPC-EJ/JE/CJ/KJ) with phrase-based
	statistical machine translation (SMT) and neural machine translation (NMT)
	systems which are trained with its own patent corpora in addition to the
	subtask corpora provided by organizers of WAT2017.  In EJ and CJ subtasks, SMT
	and NMT systems whose sizes of training corpora are about 50 million and 10
	million sentence pairs respectively achieved comparable scores for automatic
	evaluations, but NMT systems were superior to SMT systems for both official and
	in-house human evaluations.},
  url       = {http://www.aclweb.org/anthology/W17-5713}
}