@InProceedings{pande:2017:EACLshort,
  author    = {Pande, Harshit},
  title     = {Effective search space reduction for spell correction using character neural embeddings},
  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     = {170--174},
  abstract  = {We present a novel, unsupervised, and distance measure agnostic method for
	search
	space reduction in spell correction using neural character embeddings. The
	embed-
	dings are learned by skip-gram word2vec training on sequences generated from
	dictionary words in a phonetic information-retentive manner. We report a very
	high performance in terms of both success rates and reduction of search space
	on the Birkbeck spelling error corpus. To the best of our knowledge, this is
	the first application of word2vec to spell correction.},
  url       = {http://www.aclweb.org/anthology/E17-2027}
}