W96-0108 Post-Processing The architecture of the word correction system for OCR post-processing
C96-2136 . Moreover , we t > el the word correction accuracy in Table 3 is satisfactory
W14-3617 we describe two approaches for word correction . The first approach involves
C96-2136 to resort to context-dependent word correction methods to overcome tile short
N03-1018 first phase performs isolated word correction using rewrite rules , allowing
W13-4418 accuracy probability of misspelled word correction . 3 Methods Chang et al. ( 2012
W06-1648 relative probabilities that candidate word corrections would be observed . These probabilities
C96-2136 words segmentation accuracy and word correction accuracy . The word segmen ration
W14-6828 non-word correction and wrong word correction . In detail , stage one consists
W15-5005 et al. , 2014 ) . 3.2 English Word Correction To improve translation of sentences
C96-2136 apanese word segmentation and word correction . We will think of ' tile output
W14-6828 relation matching based wrong word correction are the key techniques of our
P07-1087 mark insertion , and misspelled word correction . In our email data , it corresponds
P07-1087 computation consideration . Misspelled word correction can be done in the same framework
C96-2136 regard less of orthography . For word correction accuracy , two tuples are equal
W04-3009 lexical level , which is an isolated word correction prob - lem . However , errors
W14-6828 to the results of Run2 , wrong word correction based on the knowledge of POS
W14-6822 the preset word to compare the word correction which in database . We use the
W96-0108 word-error correction . 2.4 The Word Correction System for OCR Post-Processing
W14-1209 unknown words , context dependent word corrections are made . 5.1 Detecting abbreviations
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