The Identification of Spelling Variants in English and German Historical Texts: Manual or Automatic?

In this article, we describe the respective approaches we have taken when addressing issues of spelling variation in German and English historical texts. More specifically, we describe an experiment to evaluate automatic techniques for the development of letter replacement heuristics against manuall...

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Publicado en:Literary & Linguistic Computing Vol. 23; no. 1; pp. 65 - 73
Autores principales: Pilz, Thomas, Ernst-Gerlach, Andrea, Kempken, Sebastian, Rayson, Paul, Archer, Dawn
Formato: Artículo
Publicado: Oxford University Press / USA Apr2008
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Pilz, Thomas
          Ernst-Gerlach, Andrea
          Kempken, Sebastian
          Rayson, Paul
          Archer, Dawn
        affil:
          Department of Computer Science and Applied Cognitive Science, Faculty of Engineering, University of Duisburg-Essen, D-47048 Duisburg, Lotharstr. 65, Germany
          Computing Department, Infolab21, Lancaster University, Lancaster LA1 4WA, UK
          Department of Humanities, University of Central Lancashire, Preston PR1 2HE, UK
      su:
        English orthography & spelling
        German language
        Orthography & spelling
        Search engines
        Corpora
        Spelling errors
      sug:
        subj:
          English orthography & spelling
          German language
          Orthography & spelling
          Search engines
          Corpora
          Spelling errors
      ab: In this article, we describe the respective approaches we have taken when addressing issues of spelling variation in German and English historical texts. More specifically, we describe an experiment to evaluate automatic techniques for the development of letter replacement heuristics against manually created gold standards of known letter replacements rules. As will become clear, the motivation for the research differs according to the team of researchers: the German researchers are seeking to develop a search engine for historical texts; the English researchers want to improve the results obtained when applying corpus linguistic techniques (developed for modern language) to historical data. However, the respective teams do share a longer term goal of assessing whether it is possible to develop a generic spelling detection tool for Indo European languages.
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    language: English
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