@InProceedings{littell-EtAl:2016:COLING,
  author    = {Littell, Patrick  and  Goyal, Kartik  and  Mortensen, David R.  and  Little, Alexa  and  Dyer, Chris  and  Levin, Lori},
  title     = {Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {998--1006},
  abstract  = {This paper describes our construction of named-entity recognition (NER) systems
	in two Western Iranian languages, Sorani Kurdish and Tajik, as a part of a
	pilot study of "Linguistic Rapid Response" to potential emergency humanitarian
	relief situations.  In the absence of large annotated corpora, parallel
	corpora, treebanks, bilingual lexica, etc., we found the following to be
	effective:  exploiting distributional regularities in monolingual data,
	projecting information across closely related languages, and utilizing human
	linguist judgments. We show promising results on both a four-month exercise in
	Sorani and a two-day exercise in Tajik, achieved with minimal annotation costs.},
  url       = {http://aclweb.org/anthology/C16-1095}
}