@article{Hirst4,
  author = "Graeme Hirst and Alexander Budanitsky",
  title = "Correcting real-word spelling errors by restoring lexical cohesion",
  journal = "Natural Language Engineering",
  volume = "11",
  number = "1",
  month = "March",
  year = "2005",
  pages = "87--111",
  abstract = "Spelling errors that happen to result in a real word in the lexicon
              cannot be detected by a conventional spelling checker.  We present a
              method for detecting and correcting many such errors by identifying
              tokens that are semantically unrelated to their context and are
              spelling variations of words that would be related to the context.
              Relatedness to context is determined by a measure of semantic distance
              initially proposed by Jiang and Conrath (1997).  We tested the method
              on an artificial corpus of errors; it achieved recall of up to 50%
              and precision of 18 to 25% -- levels that approach practical
              usability.",
  download = "http://ftp.cs.toronto.edu/pub/gh/Hirst+Budanitsky-2005ms.pdf",
  note = "<A HREF=http://www.cambridge.org/uk/journals/journal_catalogue.asp?historylinks=ALPHA&mnemonic=NLE>Get
         paper from publisher's Web site</a>"
}