A94-1039 procedure using the Selective Error Correction Method for erroneous Japanese phrases
P12-2076 discriminative sequence con - version . Our error correction method converts the learner 's word
P98-2152 comparison , we implemented the OCR error correction method , which does not use character
C00-2156 prediction method and the treebased error correction method . Section 4 shows experimental
W13-4420 In this paper there is the one error correction method for both sub - tasks . In our
P08-4005 has been shown that multimodal error correction methods are much more effective than
W06-2206 databases , and we exploit this in our error correction methods . While most of the entries are
W13-4018 literature . RMSE is used since the error correction method is limited to correcting the
W06-2206 presented to a user . As the two error correction methods are to some extent complementary
C80-1038 becomes a practical one . 5 . Error Correction Method The error correction system has
P98-2167 some approaches about rulebased error correction method for Korean part - of-speech (
P00-1049 1998 ) proposed a Japanese OCR error correction method using word-based language model
P98-2167 part-of-speech tagged corpus . A rulebased error correction method is proposed to find and correct
W04-3009 , and pipeline this high-level error correction method with the syllable - based channel
A94-1039 In this paper , the Selective Error Correction Method is applied to detect and correct
W13-4420 Sub-Tasks are expected since the same error correction method is used . A possible explanation
P98-2152 Abstract We present a novel OCR error correction method for languages without word delimiters
P12-2076 Conclusions This paper presented an error correction method of Japanese particles that uses
W06-1647 trivial problem , and automatic error correction methods may be desired . the partial
D14-1100 problem , we utilize the supervised error correction method , which manually correct errors
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