@InProceedings{zampieri-ciobanu-dinu:2017:BEA,
  author    = {Zampieri, Marcos  and  Ciobanu, Alina Maria  and  Dinu, Liviu P.},
  title     = {Native Language Identification on Text and Speech},
  booktitle = {Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {398--404},
  abstract  = {This paper presents an ensemble system combining the output of multiple SVM
	classifiers to native language identification (NLI). The system was submitted
	to the NLI Shared Task 2017 fusion track which featured students essays and
	spoken responses in form of audio transcriptions and iVectors by non-native
	English speakers of eleven native languages. Our system competed in the
	challenge under the team name ZCD and was based on an ensemble of SVM
	classifiers trained on character n-grams achieving 83.58% accuracy and ranking
	3rd in the shared task.},
  url       = {http://www.aclweb.org/anthology/W17-5045}
}