@InProceedings{ostling-tiedemann:2017:EACLshort,
  author    = {\"{O}stling, Robert  and  Tiedemann, J\"{o}rg},
  title     = {Continuous multilinguality with language vectors},
  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     = {644--649},
  abstract  = {Most existing models for multilingual natural language processing (NLP)
	treat language as a discrete category, and make predictions for either
	one language or the other. In contrast, we propose using continuous vector
	representations of language. We show that these can be learned efficiently
	with a character-based neural language model, and used to improve
	inference about language varieties not seen during training.
	In experiments with 1303 Bible translations into 990 different languages,
	we empirically explore the capacity of multilingual language models,
	and also show that the language vectors capture genetic
	relationships between languages.},
  url       = {http://www.aclweb.org/anthology/E17-2102}
}