• Modeling word trees in historical linguistics. Preliminary ideas for the reconciliation of word trees and language trees

    Author(s):
    Nathanael Erik Schweikhard (see profile) , Johann-Mattis List
    Date:
    2022
    Subject(s):
    Computational linguistics, Data curation, Language and languages--Etymology, Historical linguistics, Morphology
    Item Type:
    Article
    Tag(s):
    Indo-European, linguistic data, Networks, tree reconciliation, word trees, Etymology
    Permanent URL:
    https://doi.org/10.17613/y32r-r542
    Abstract:
    Please cite as: Schweikhard, Nathanael E. & Johann-Mattis List. (forthcoming). Modeling word trees in historical linguistics. Preliminary ideas for the reconciliation of word trees and language trees. In: Bela Brogyanyi & Reiner Lipp (Hgg.). Historische Linguistik III. Beiträge der Sektion „Historische Linguistik“, 27. Jahrestagung der Gesellschaft für Sprache und Sprachen „Sprach(en)forschung: Disziplinen und Interdisziplinarität“, 30. Mai -1. Juni 2019, Uniwerzytet Warszawski. Hamburg: Verlag Dr. Kovač. Abstract: Linguists have acknowledged for a long time that words have their own history that does not necessarily fully align with the history of the languages as a whole. Recent approaches in computational historical linguistics have started integrating this fact into their models of language change, yet without modelling linguistic processes like word formation in detail. Inspired by advances in evolutionary biology, we propose a framework for annotating etymological relationships within word families as word trees to make this kind of data available for quantitative and qualitative studies. We test our dataset on a data sample of etymologies and include a small selection of Python scripts that enable checking the annotation for consistency and deriving basic statistics.
    Metadata:
    Status:
    Published
    Last Updated:
    6 months ago
    License:
    All Rights Reserved
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