@article{Damerau1964,
  abstract = {The method described assumes that a word which cannot be found in a dictionary has at most one error, which might be a wrong, missing or extra letter or a single transposition. The unidentified input word is compared to the dictionary again, testing each time to see if the words match—assuming one of these errors occurred. During a test run on garbled text, correct identifications were made for over 95 percent of these error types.},
  address = {New York, NY, USA},
  author = {Damerau, Fred J.},
  doi = {http://doi.acm.org/10.1145/363958.363994},
  interhash = {b10df81f1860fd8bd7990f4684ad6f3a},
  intrahash = {668a64114d9dedf793cb2644e05dac14},
  issn = {0001-0782},
  journal = {Commun. ACM},
  number = 3,
  pages = {171--176},
  publisher = {ACM Press},
  title = {A technique for computer detection and correction of spelling errors},
  url = {http://portal.acm.org/citation.cfm?id=363994},
  volume = 7,
  year = 1964
}