Next: The problem
A spelling corrector incorporating knowledge of English
orthography and pronunciation
I have developed a spelling corrector, correct, based on a model
treating misspellings as flawed attempts to spell words using the
sound-spelling correspondences of English orthography. On a common
test suite, it generates a correct guess for 97% of the misspellings.
It ranks multiple guesses by the Levenshtein distance from the
misspelling, combined with the frequency of the sound-spelling
correspondences presumed to have generated the misspelling. The
average rank of the correct respelling, using a complete English
dictionary as the universe of candidate respellings, is 1.1. This
paper describes the development and structure of the correct
Webster: Brett Kessler
Last change 2004-08-27.