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  Managing historical linguistic data for computational phylogenetics and computer-assisted language comparison

Forkel, R., Gray, R. D., Greenhill, S. J., List, J.-M., Rzymski, C., & Tresoldi, T. (2019). Managing historical linguistic data for computational phylogenetics and computer-assisted language comparison. Unpublished Manuscript.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-CF50-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-19D5-F
Genre: Manuscript

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shh2407.pdf (Preprint), 2MB
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 Creators:
Forkel, Robert1, Author              
Gray, Russell D.1, Author              
Greenhill, Simon J.1, Author              
List, Johann-Mattis2, Author              
Rzymski, Christoph1, Author              
Tresoldi, Tiago2, Author              
Affiliations:
1Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2074311              
2CALC, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2385703              

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 Abstract: The popularisation of computer-based methods in comparative linguistics has led to a greater awareness of issues resulting from limited data sustainability and proper data management. In this use-case and its accompanying tutorial, we present principles of data management as applied to computational phylogenetics and computer-assisted language comparison, showcasing the solutions we recommend. Instead of enumerating the many possibilities to code and use linguistic data to conduct a phylogenetic analysis, we illustrate our suggestions for phylogenetic data management in a workflow based on a concrete analysis, showing how data should be managed with the help of a published dataset, exploring the information, file formats, processes, and software involved, explaining and showing how to collect and store cross-linguistic information, how to guarantee that datasets are cross-linguistically comparable, how to store intermediate and final results of the analyses, and how to share data in a reusable form by relying in the tools and principles of the CLDF initiative.

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Language(s): eng - English
 Dates: 2019-08-15
 Publication Status: Published online
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: No review
 Identifiers: DOI: 10.17613/pwva-kz72
Other: shh2407
 Degree: -

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Title: Humanities Commons
  Abbreviation : HC
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: pwva-kz72 Start / End Page: - Identifier: URN: https://hcommons.org/