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Literary and Linguistic Computing Advance Access originally published online on November 24, 2007
Literary and Linguistic Computing 2008 23(1):65-72; doi:10.1093/llc/fqm044
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© The Author 2007. Published by Oxford University Press on behalf of ALLC and ACH. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

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

Thomas Pilz, Andrea Ernst-Gerlach and Sebastian Kempken

Department of Computer Science and Applied Cognitive Science, Faculty of Engineering, University of Duisburg-Essen, D-47048 Duisburg, Lotharstr. 65, Germany

Paul Rayson

Computing Department, Infolab21, Lancaster University, Lancaster LA1 4WA, UK

Dawn Archer

Department of Humanities, University of Central Lancashire, Preston PR1 2HE, UK

Correspondence: Paul Rayson, Computing Department, Infolab21, Lancaster University, Lancaster LA1 4WA, UK. E-mail: paul{at}comp.lancs.ac.uk

  Abstract

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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