Applying unsupervised grammar induction to OCR error correction
Author(s) -
Samuel R. Scarano
Publication year - 2014
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.17760/d20128346
Subject(s) - computer science , word error rate , artificial intelligence , natural language processing , grammar , language model , error detection and correction , dependency (uml) , n gram , hidden markov model , annotation , speech recognition , algorithm , linguistics , philosophy
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