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

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Tresoldi,  Tiago
CALC, Max Planck Institute for the Science of Human History, Max Planck Society;
Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Rzymski,  Christoph       
Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Forkel,  Robert       
Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Greenhill,  Simon J.       
Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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List,  Johann-Mattis       
CALC, Max Planck Institute for the Science of Human History, Max Planck Society;
Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Gray,  Russell D.       
Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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https://direct.mit.edu/books/book/5244/chapter/3537396/Managing-Historical-Linguistic-Data-for
(Publisher version)

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Citation

Tresoldi, T., Rzymski, C., Forkel, R., Greenhill, S. J., List, J.-M., & Gray, R. D. (2022). Managing historical linguistic data for computational phylogenetics and computer-assisted language comparison. In A. L. Berez-Kroeker, B. McDonnel, & E. Koller (Eds.), The open handbook of linguistic data management (pp. 345-354). Massachusetts: The MIT Press.


Cite as: https://hdl.handle.net/21.11116/0000-0009-02C2-9
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.