@InProceedings{bhat-EtAl:2017:EACLshort,
  author    = {Bhat, Irshad  and  Bhat, Riyaz A.  and  Shrivastava, Manish  and  Sharma, Dipti},
  title     = {Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {324--330},
  abstract  = {In this paper, we propose efficient and less resource-intensive strategies for
	parsing of code-mixed data. These strategies are not constrained by in-domain
	annotations, rather they leverage pre-existing monolingual annotated resources
	for training. We show that these methods can produce significantly better
	results as compared to an informed baseline. Due to lack of an evaluation set
	for
	code-mixed structures, we also present a data set of 450 Hindi and English
	code-mixed tweets of Hindi multilingual speakers for evaluation.},
  url       = {http://www.aclweb.org/anthology/E17-2052}
}