@InProceedings{yamagishi-EtAl:2017:I17-2,
  author    = {Yamagishi, Hayahide  and  Kanouchi, Shin  and  Sato, Takayuki  and  Komachi, Mamoru},
  title     = {Improving Japanese-to-English Neural Machine Translation by Voice Prediction},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {277--282},
  abstract  = {This study reports an attempt to predict the voice of reference using the
	information from the input sentences or previous input/output sentences. Our
	previous study presented a voice controlling method to generate sentences for
	neural machine translation, wherein it was demonstrated that the BLEU score
	improved when the voice of generated sentence was controlled relative to that
	of the reference. However, it is impractical to use the reference information
	because we can- not discern the voice of the correct translation in advance.
	Thus, this study presents a voice prediction method for generated sentences for
	neural machine translation. While evaluating on Japanese-to-English
	translation, we obtain a 0.70-improvement in the BLEU using the predicted
	voice.},
  url       = {http://www.aclweb.org/anthology/I17-2047}
}