Visualizing Collation Results

• Elisa Nury ^{[1] [2] [3]}
  1. [1] Université de Genève

     Université de Genève

     Genève, Suiza

     
  2. [2] University of Lausanne

     University of Lausanne

     Lausana, Suiza

     
  3. [3] King's College London

     King's College London

     Reino Unido

     

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• Localización: Variants, ISSN 1573-3084, Nº. 14, 2019, págs. 75-94
• Idioma: inglés
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• Resumen

  • How can the results of automated collation facilitate the analysis of witnesses’ relationships? This article introduces the tool PyCoviz, designed to process a collation obtained with CollateX, focusing on the scholarly need to detect shared errors and unique errors. The Declamations of Calpurnius Flaccus serves as a case study to show how PyCoviz allows to reproduce an editor’s conclusions on the manuscript tradition. While analyzing the collation of Calpurnius’ text, this article discusses the difficulty of comparing orthographic differences, and how PyCoviz could be improved to deal with incomplete witnesses, or to visualized editorial uncertainty.