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Visual analytics for historical linguistics: opportunities and challenges

Abstract : In this paper we present a case study in which Visual Analytic methods for interactive data exploration are applied to the study of historical linguistics. We discuss why diachronic linguistic data poses special challenges for Visual Analytics and show how these are handled in a collaboratively developed web-based tool: HistoBankVis. HistoBankVis allows an immediate and efficient interaction with underlying diachronic data and we go through an investigation of the interplay between case marking and word order in Icelandic and Old Saxon to illustrate its features. We then discuss challenges posed by the lack of annotation standardization across different corpora as well as the problems we encountered with respect to errors, uncertainty and issues of data provenance. Overall we conclude that the integration of Visual Analytics methodology into the study of language change has an immense potential but that the full realization of its potential will depend on whether issues of data interoperability and annotation standards can be resolved.
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https://hal.inria.fr/hal-02914284
Contributor : Christin Beck (née Schätzle) <>
Submitted on : Friday, December 11, 2020 - 8:28:05 AM
Last modification on : Monday, December 14, 2020 - 1:28:41 PM

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  • HAL Id : hal-02914284, version 2

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Christin Beck, Miriam Butt. Visual analytics for historical linguistics: opportunities and challenges. Journal of Data Mining and Digital Humanities, Episciences.org, 2020, Special Issue on Visualisations in Historical Linguistics, Special issue on Visualisations in Historical Linguistics, pp.1-23. ⟨hal-02914284v2⟩

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