@InProceedings{matsumura-komachi:2017:WAT2017,
  author    = {Matsumura, Yukio  and  Komachi, Mamoru},
  title     = {Tokyo Metropolitan University Neural Machine Translation System for WAT 2017},
  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     = {160--166},
  abstract  = {In this paper, we describe our neural machine translation (NMT) system, which
	is based on the attention-based NMT and uses long short-term memories (LSTM) as
	RNN. We implemented beam search and ensemble decoding in the NMT system. The
	system was tested on the 4th Workshop on Asian Translation (WAT 2017) shared
	tasks. In our experiments, we participated in the scientific paper subtasks and
	attempted Japanese-English, English-Japanese, and Japanese-Chinese translation
	tasks. The experimental results showed that implementation of beam search and
	ensemble decoding can effectively improve the translation quality.},
  url       = {http://www.aclweb.org/anthology/W17-5716}
}

