Algorithms for the manipulation and transformation of text variant graphs

Tara Andrews

Algorithms for the manipulation and transformation of text variant graphs

Department of History

Publications: Contribution to conference › Paper › Peer Reviewed

Abstract

While text variant graphs are increasingly frequently used for the visualization of a text transmitted in multiple versions, the graph is also a very appropriate model for the querying and transformation of such a text in the course of producing a critical edition. This article describes the algorithms used in the StemmaREST repository for variant text traditions.

Original language	English
Pages	577-591
Number of pages	15
Publication status	Published - Dec 2023
Event	Computational Humanities Research 2023 - École pour l'informatique et les techniques avancées, Paris, France Duration: 6 Dec 2023 → 8 Dec 2023 https://2023.computational-humanities-research.org/

Conference

Conference	Computational Humanities Research 2023
Country/Territory	France
City	Paris
Period	6/12/23 → 8/12/23
Internet address	https://2023.computational-humanities-research.org/

Austrian Fields of Science 2012

602024 Classical philology
605007 Digital humanities

Access to Document

https://ceur-ws.org/Vol-3558/paper6515.pdfLicence: CC BY 4.0

Cite this

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title = "Algorithms for the manipulation and transformation of text variant graphs",

abstract = "While text variant graphs are increasingly frequently used for the visualization of a text transmitted in multiple versions, the graph is also a very appropriate model for the querying and transformation of such a text in the course of producing a critical edition. This article describes the algorithms used in the StemmaREST repository for variant text traditions.",

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AB - While text variant graphs are increasingly frequently used for the visualization of a text transmitted in multiple versions, the graph is also a very appropriate model for the querying and transformation of such a text in the course of producing a critical edition. This article describes the algorithms used in the StemmaREST repository for variant text traditions.

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