@InProceedings{ciobanu-EtAl:2018:W18-39,
  author    = {Ciobanu, Alina Maria  and  Zampieri, Marcos  and  Malmasi, Shervin  and  Pal, Santanu  and  Dinu, Liviu P.},
  title     = {Discriminating between Indo-Aryan Languages Using SVM Ensembles},
  booktitle = {Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018)},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {178--184},
  abstract  = {In this paper we present a system based on SVM ensembles trained on characters and words to discriminate between five similar languages of the Indo-Aryan family: Hindi, Braj Bhasha, Awadhi, Bhojpuri, and Magahi. The system competed in the Indo-Aryan Language Identification (ILI) shared task organized within the VarDial Evaluation Campaign 2018. Our best entry in the competition, named ILIdentification, scored 88.95% F1 score and it was ranked 3rd out of 8 teams.},
  url       = {http://www.aclweb.org/anthology/W18-3920}
}