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This article describes computer-assisted methods for the analysis of textual variation within large textual traditions. It focuses on the conversion of the XML apparatus into NEXUS, a file type commonly used in bioinformatics. Phylogenetics methods are described with particular emphasis on maximum parsimony, the preferred approach for our research. The article provides details on the reasons for favouring maximum parsimony, as well as explaining our choice of settings for PAUP. It gives examples of how to use VBase, our variant database, to query the data and gain a better understanding of the phylogenetic trees. The relationship between the apparatus and the stemma explained. After demonstrating the vast number of decisions taken during the analysis, the article concludes that as much as computers facilitate our work and help us expand our understanding, the role of the editor continues to be fundamental in the making of editions.
Textual Variation, Canterbury Tales, Variation, D111-203, Textual Criticism, Digital Humanities, Stemmatology, Phylogenetics, Computer-Assisted methods, Manuscript Studies, Stemmatics, Scholarly Editing, Medieval history, Textual Scholarship, Chaucer
Textual Variation, Canterbury Tales, Variation, D111-203, Textual Criticism, Digital Humanities, Stemmatology, Phylogenetics, Computer-Assisted methods, Manuscript Studies, Stemmatics, Scholarly Editing, Medieval history, Textual Scholarship, Chaucer
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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