@InProceedings{ccoltekin-rama:2017:VarDial,
  author    = {\c{C}\"{o}ltekin, \c{C}a\u{g}rı  and  Rama, Taraka},
  title     = {T\"{u}bingen system in VarDial 2017 shared task: experiments with language identification and cross-lingual parsing},
  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     = {146--155},
  abstract  = {This paper describes our systems and results on VarDial 2017 shared
	tasks.                    Besides three language/dialect discrimination tasks, we
	also
	participated in the cross-lingual dependency parsing (CLP) task using
	a simple methodology which we also briefly describe in this paper.
	For all the discrimination tasks, we used linear SVMs with character
	and word features.  The system achieves competitive results among
	other systems in the shared task.  We also report additional
	experiments with neural network models. The performance of neural
	network models was close but always below the corresponding SVM
	classifiers in the discrimination tasks.
	For the cross-lingual parsing task, we experimented with an approach
	based on automatically translating the source treebank to the target
	language, and training a parser on the translated treebank.  We used
	off-the-shelf tools for both translation and parsing.  Despite
	achieving better-than-baseline results, our scores in CLP tasks were
	substantially lower than the scores of the other participants.},
  url       = {http://www.aclweb.org/anthology/W17-1218}
}