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Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts
Institute of Computational Linguistics and Department of English, University of Zurich.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Computational Linguistics)
Department of English, University of Mannheim.
2017 (English)In: Proceedings of the NoDaLiDa 2017 Workshop on Processing Historical Language, 2017Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2017.
National Category
Humanities and the Arts
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-322947OAI: oai:DiVA.org:uu-322947DiVA: diva2:1104197
Conference
NoDaLiDa
Available from: 2017-05-31 Created: 2017-05-31 Last updated: 2017-05-31

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association
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Language
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Output format
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