teiphy: A Python Package for Converting TEI XML
Collations to NEXUS and Other Formats

McCollum, Joey; Turnbull, Robert G.

doi:10.21105/joss.04879

Cited by 2 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because inputs to BEAST 2 are in an XML format distinct from TEI XML, we must convert TEI XML collation data to BEAST XML files. We can do this using the teiphy Python package (McCollum and Turnbull 2022). When it was initially developed, teiphy could convert TEI XML collations to sequence alignment files in NEXUS format (Maddison, Swofford, and Maddison 1997) and in other formats used by the phylogenetic programs listed above.…”

Section: Previous Workmentioning

confidence: 99%

Using Bayesian Phylogenetics to Infer Manuscript Transmission History

McCollum

Turnbull

2023

Preprint

Self Cite

View full text Add to dashboard Cite

Bayesian phylogenetic methods offer various models that would be especially suitable in the reconstruction of textual traditions, but text-critical applications of phylogenetics to date have generally not taken advantage of these features. In this paper, we offer a way forward for text-critical phylogenetics. On the side of theory, we highlight multiple Bayesian phylogenetic models and discuss their relevance to textual criticism. More practically, we show how TEI XML collations of textual traditions can be encoded to facilitate robust analyses using these models in BEAST 2, with the teiphy Python package mediating the conversion from TEI XML to BEAST XML. Finally, we give a proof of concept for this approach, showing that the results of BEAST 2 analyses of a sample collation of the Epistle to the Ephesians under different clock models cohere with established findings on the textual tradition of this work.

show abstract

Section: Previous Workmentioning

confidence: 99%

Using Bayesian Phylogenetics to Infer Manuscript Transmission History

McCollum

Turnbull

2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Using Bayesian phylogenetics to infer manuscript transmission history

McCollum,

Turnbull

2023

Digital Scholarship in the Humanities

View full text Add to dashboard Cite

Bayesian phylogenetic methods offer various models that would be especially suitable in the reconstruction of textual traditions, but text-critical applications of phylogenetics to date have generally not taken advantage of these features. In this article, we offer a way forward for text-critical phylogenetics. On the side of theory, we highlight multiple Bayesian phylogenetic models and discuss their relevance to textual criticism. More practically, we show how TEI XML collations of textual traditions can be encoded to facilitate robust analyses using these models in BEAST 2, with the teiphy Python package mediating the conversion from TEI XML to BEAST XML. Finally, we give a proof of concept for this approach, showing that the results of BEAST 2 analyses of a sample collation of the Epistle to the Ephesians under different clock models cohere with established findings on the textual tradition of this work.

show abstract

teiphy: A Python Package for Converting TEI XML Collations to NEXUS and Other Formats

Cited by 2 publications

References 15 publications

Using Bayesian Phylogenetics to Infer Manuscript Transmission History

Using Bayesian Phylogenetics to Infer Manuscript Transmission History

Using Bayesian phylogenetics to infer manuscript transmission history

Contact Info

Product

Resources

About