@InProceedings{huck-EtAl:2017:EACLshort,
  author    = {Huck, Matthias  and  Tamchyna, Ale\v{s}  and  Bojar, Ond\v{r}ej  and  Fraser, Alexander},
  title     = {Producing Unseen Morphological Variants in Statistical Machine Translation},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {369--375},
  abstract  = {Translating into morphologically rich languages is difficult. Although the
	coverage of lemmas may be reasonable, many morphological variants cannot be
	learned from the training data. We present a statistical translation system
	that is able to produce these inflected word forms. Different from most
	previous work, we do not separate morphological prediction from lexical choice
	into two consecutive steps. Our approach is novel in that it is integrated in
	decoding and takes advantage of context information from both the source
	language and the target language sides.},
  url       = {http://www.aclweb.org/anthology/E17-2059}
}