@InProceedings{chen-strapparava-nastase:2017:Short,
  author    = {Chen, Lingzhen  and  Strapparava, Carlo  and  Nastase, Vivi},
  title     = {Improving Native Language Identification by Using Spelling Errors},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {542--546},
  abstract  = {In this paper, we explore spelling errors as a source of information for
	detecting the native language of a writer, a previously under-explored area.
	 We note that character n-grams from misspelled words are very indicative of
	the native language of the author. In combination with other lexical features,
	spelling error features lead to 1.2\% improvement in accuracy on classifying
	texts in the TOEFL11 corpus by the author's native language, compared to
	systems participating in the NLI shared task.},
  url       = {http://aclweb.org/anthology/P17-2086}
}