Spell checker with arbitrary length string-to-string transformations to improve noisy channel spelling correction
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United States of America Patent
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Oct 30, 2007
Grant Date -
Nov 10, 2005
app pub date -
Jul 15, 2005
filing date -
Mar 31, 2000
priority date (Note) -
Expired
status (Latency Note)
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Abstract
A spell checker based on the noisy channel model has a source model and an error model. The source model determines how likely a word w in a dictionary is to have been generated. The error model determines how likely the word w was to have been incorrectly entered as the string s (e.g., mistyped or incorrectly interpreted by a speech recognition system) according to the probabilities of string-to-string edits. The string-to-string edits allow conversion of one arbitrary length character sequence to another arbitrary length character sequence.
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