@InProceedings{cotterell-heigold:2017:EMNLP2017,
  author    = {Cotterell, Ryan  and  Heigold, Georg},
  title     = {Cross-lingual Character-Level Neural Morphological Tagging},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {748--759},
  abstract  = {Even for common NLP tasks, sufficient supervision is not available in many
	languages -- morphological tagging is no exception. In the work presented here,
	we explore a transfer learning scheme, whereby we train character-level
	recurrent neural taggers to predict morphological taggings for high-resource
	languages and low-resource languages together. Learning joint character
	representations among multiple related languages successfully enables knowledge
	transfer from the high-resource languages to the low-resource ones.},
  url       = {https://www.aclweb.org/anthology/D17-1078}
}