@InProceedings{gamallo-pichel-alegria:2017:VarDial,
  author    = {Gamallo, Pablo  and  Pichel, Jose Ramom  and  Alegria, I\~{n}aki},
  title     = {A Perplexity-Based Method for Similar Languages Discrimination},
  booktitle = {Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {109--114},
  abstract  = {This article describes the system submitted by the Citius\_Ixa\_Imaxin team to
	the VarDial 2017 (DSL and GDI tasks). The strategy underlying our system is
	based on a language distance computed by means of model perplexity. The best
	model configuration we have tested is a voting system making use of several
	$n$-grams models of both words and characters, even if word unigrams turned out
	to be a very competitive model with reasonable results in the tasks we have
	participated. An error analysis has been performed in which we identified many
	test examples with no linguistic evidences to distinguish among the variants.},
  url       = {http://www.aclweb.org/anthology/W17-1213}
}