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dc.contributor.authorGénéreux M
dc.contributor.authorStemle EW
dc.contributor.authorNicolas L
dc.contributor.authorLyding V
dc.date.accessioned2019-03-01T13:50:28Z
dc.date.available2019-03-01T13:50:28Z
dc.date.issued2014
dc.identifier.urihttp://clic.humnet.unipi.it/proceedings/vol1/CLICIT2014136.pdf
dc.identifier.urihttp://hdl.handle.net/10863/8878
dc.description.abstractIn this paper, we present ongoing experiments for correcting OCR errors on German newspapers in Fraktur font. Our approach borrows from techniques for spelling correction in context using a probabilistic edit-operation error model and lexical resources. We highlight conditions in which high error reduction rates can be obtained and where the approach currently stands with real data.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.relationFirst Italian Conference on Computational Linguistics CLiC-it 2014 ; Pisa : 9.12.2014 - 10.12.2014
dc.rights
dc.titleCorrecting OCR errors for German in Fraktur fonten_US
dc.typeBook chapteren_US
dc.date.updated2019-03-01T11:46:30Z
dc.publication.titleProceedings of the First Italian Conference on Computational Linguistics (CLiC-it 2014) http://www.fileli.unipi.it/projects/clic/proceedings/Proceedings-CLICit-2014.pdf
dc.language.isiEN-GB
dc.description.fulltextnoneen_US


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