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OCR-läsning av äldre källmaterial: Vad kan (och bör) man göra?
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Arts, Department of History.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2009 (Swedish)Report (Other academic)
Place, publisher, year, edition, pages
Uppsala: Uppsala universitet, 2009. , 22 p.
Keyword [en]
OCR, historical texts
National Category
Language Technology (Computational Linguistics)
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-296821OAI: oai:DiVA.org:uu-296821DiVA: diva2:939936
Available from: 2016-06-20 Created: 2016-06-20 Last updated: 2017-01-25

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Lindström, JonasBrun, AndersDahlqvist, Bengt
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Department of HistoryComputerized Image AnalysisDepartment of Linguistics and Philology
Language Technology (Computational Linguistics)

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf