@InProceedings{costajussa-escolano-fonollosa:2017:SCLeM,
  author    = {Costa-juss\`{a}, Marta R.  and  Escolano, Carlos  and  Fonollosa, Jos\'{e} A. R.},
  title     = {Byte-based Neural Machine Translation},
  booktitle = {Proceedings of the First Workshop on Subword and Character Level Models in NLP},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {154--158},
  abstract  = {This paper presents experiments comparing character-based and byte-based neural
	machine translation systems. The main motivation of the byte-based neural
	machine translation system is to build multi-lingual neural machine translation
	systems that can share the same vocabulary. We compare the performance of both
	systems in several language pairs and we see that the performance in test is
	similar for most language pairs while the training time is slightly reduced in
	the case of byte-based neural machine translation.},
  url       = {http://www.aclweb.org/anthology/W17-4123}
}