@InProceedings{sorokin:2017:BSNLP,
  author    = {Sorokin, Alexey},
  title     = {Spelling Correction for Morphologically Rich Language: a Case Study of Russian},
  booktitle = {Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {45--53},
  abstract  = {We present an algorithm for automatic correction of spelling errors on the
	sentence level, which uses noisy channel model and feature-based reranking of
	hypotheses. Our system is designed for Russian and clearly outperforms the
	winner of SpellRuEval-2016 competition. We show that language model size has
	the greatest influence on spelling correction quality. We also experiment with
	different types of features and show that morphological and semantic
	information also improves the accuracy of spellchecking.},
  url       = {http://www.aclweb.org/anthology/W17-1408}
}