@InProceedings{adouane-semmar-johansson:2016:VarDial32,
  author    = {Adouane, Wafia  and  Semmar, Nasredine  and  Johansson, Richard},
  title     = {ASIREM Participation at the Discriminating Similar Languages Shared Task 2016},
  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     = {163--169},
  abstract  = {This paper presents the system built by ASIREM team for the Discriminating
	between Similar Languages (DSL) Shared task 2016. It describes the system which
	uses character-based and word-based n-grams separately. ASIREM participated in
	both sub-tasks (sub-task 1 and sub- task 2) and in both open and closed tracks.
	For the sub-task 1 which deals with Discriminating between similar languages
	and national language varieties, the system achieved an accuracy of 87.79% on
	the closed track, ending up ninth (the best results being 89.38%). In sub-task
	2, which deals with Arabic dialect identification, the system achieved its best
	performance using character-based n-grams (49.67% accuracy), ranking fourth in
	the closed track (the best result being 51.16%), and an accuracy of 53.18%,
	ranking first in the open track.},
  url       = {http://aclweb.org/anthology/W16-4821}
}