P09-2069 application is a very efficient spelling correction system where probability estimates are
D12-1138 search experience . A typical query spelling correction system employs a noisy channel model
D11-1119 testing from the above sources . The spelling correction system is evaluated by measuring its
D12-1138 improve the accuracy of our query spelling correction system . 7 Acknowledgments This paper
D15-1051 unique entries for training our spelling correction system . As mentioned above , search
D15-1051 paper , we presented a powerful spelling correction system for the e-commerce domain using
J15-1011 into consideration when designing spelling correction systems for these languages . As it turned
P98-1059 of combining the parser and the spelling correction system should help us here . <title>
P11-2085 3 ) we want to build a Chinese spelling correction system based on extracted error-correction
P10-1028 the queries against our baseline spelling correction system , which will be described in
P95-1004 Abstract This paper introduces a spelling correction system which integrates seamlessly with
D10-1122 factor in real deployments of a Spelling Correction system . Ideally , one would like the
D12-1138 allows fine tuning of the query spelling correction system , making it more adaptive to
A92-1017 Whereas words usually are known to a spelling correction system , we have to add the non-words
D15-1051 , we do not rely on a previous spelling correction system , but on user for - mulations
D15-1051 considered correct by a statistical spelling correction system as there is evidence in the data
A00-2040 a ( pronunciation-sensitive ) spelling correction system . When given the pronunciation
A97-1025 true " performance of contextual spelling correction systems . 7 Acknowledgments The first
P98-1003 unrestricted texts . State of the art spelling correction systems , e.g. ispell , apart from detecting
P14-2028 errors , the state of the art spelling correction systems use the noisy channel approach
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