@InProceedings{gamallo-EtAl:2016:VarDial3,
  author    = {Gamallo, Pablo  and  Alegria, I\~{n}aki  and  Pichel, Jos\'{e} Ramom  and  Agirrezabal, Manex},
  title     = {Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties},
  booktitle = {Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial3)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {170--177},
  abstract  = {This article describes the systems submitted by the Citius\_Ixa\_Imaxin team to
	the Discriminating Similar Languages Shared Task 2016. The systems are based on
	two different strategies: classification with ranked dictionaries and Naive
	Bayes classifiers. The results of the evaluation show that ranking dictionaries
	are more sound and stable across different domains while basic bayesian models
	perform reasonably well on in-domain datasets, but their performance drops when
	they are applied on out-of-domain texts.},
  url       = {http://aclweb.org/anthology/W16-4822}
}