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Literary and Linguistic Computing Advance Access originally published online on March 14, 2009
Literary and Linguistic Computing 2009 24(4):417-433; doi:10.1093/llc/fqp002
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© The Author 2009. Published by Oxford University Press on behalf of ALLC and ACH. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Evaluating methods for computer-assisted stemmatology using artificial benchmark data sets

Teemu Roos *

Department of Computer Science and the National Library of Finland, University of Helsinki, Helsinki, Finland

Tuomas Heikkilä

Department of History, University of Helsinki, Helsinki, Finland

Correspondence: Teemu Roos, Department of Computer Science, P.O. Box 68, FI-00014 University of Helsinki, Helsinki, Finland E-mail: teemu.roos{at}cs.helsinki.fi

  Abstract

Given a collection of imperfect copies of a textual document, the aim of stemmatology is to reconstruct the history of the text, indicating for each variant the source text from it was copied. We describe an experiment involving three artificial benchmark data sets to which a number of computer-assisted stemmatology methods were applied. Contrary to earlier similar experiments, we propose and use a numerical criterion to evaluate all the solutions. Moreover, our primary data set is significantly larger than used before. The results suggest the superiority of two computer-assisted methods amongst those tested: the maximum parsimony method implemented in the PAUP* software package and a related compression-based method we have proposed in earlier work.

*Present address: The Helsinki Institute for Information Technology HIIT.


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