@InProceedings{tiedemann-scherrer:2017:DiscoMT,
  author    = {Tiedemann, J\"{o}rg  and  Scherrer, Yves},
  title     = {Neural Machine Translation with Extended Context},
  booktitle = {Proceedings of the Third Workshop on Discourse in Machine Translation},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {82--92},
  abstract  = {We investigate the use of extended context in attention-based neural machine
	translation. We base our experiments on translated movie subtitles and discuss
	the effect of increasing the segments beyond single translation units. We study
	the use of extended source language context as well as bilingual context
	extensions. The models learn to distinguish between information from different
	segments and are surprisingly robust with respect to translation quality. In
	this pilot study, we observe interesting cross-sentential attention patterns
	that improve textual coherence in translation at least in some selected cases.},
  url       = {http://aclweb.org/anthology/W17-4811}
}