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Documents authored by Ranacher, Peter

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Short Paper
DOI: 10.4230/LIPIcs.COSIT.2024.18
Inferring the Origin of Linguistic Features from an Atlas: A Case Study of Swiss-German Dialects. (Short Paper)

Authors: Takuya Takahashi, Elvira Glaser, and Peter Ranacher

Published in: LIPIcs, Volume 315, 16th International Conference on Spatial Information Theory (COSIT 2024)

Abstract
A linguistic atlas is a set of maps which visualize the geographical variation of linguistic features in a single language. We present a novel model for Bayesian statistics which infers when and where the variants of a linguistic feature were invented based on the geographical distribution shown in a linguistic atlas. Based on a spatial network representing the rate of diffusion between locations, our model evaluates the probability (likelihood) that the observed geographical pattern is realized by considering the genealogical relationship between variants at different locations. We apply our model to a linguistic atlas of Swiss-German dialects and infer the origin of three forms of the High-German word "nein" meaning "no".
Cite as

Takuya Takahashi, Elvira Glaser, and Peter Ranacher. Inferring the Origin of Linguistic Features from an Atlas: A Case Study of Swiss-German Dialects. (Short Paper). In 16th International Conference on Spatial Information Theory (COSIT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 315, pp. 18:1-18:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{takahashi_et_al:LIPIcs.COSIT.2024.18,
  author =	{Takahashi, Takuya and Glaser, Elvira and Ranacher, Peter},
  title =	{{Inferring the Origin of Linguistic Features from an Atlas: A Case Study of Swiss-German Dialects.}},
  booktitle =	{16th International Conference on Spatial Information Theory (COSIT 2024)},
  pages =	{18:1--18:9},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-330-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{315},
  editor =	{Adams, Benjamin and Griffin, Amy L. and Scheider, Simon and McKenzie, Grant},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2024.18},
  URN =		{urn:nbn:de:0030-drops-208331},
  doi =		{10.4230/LIPIcs.COSIT.2024.18},
  annote =	{Keywords: Dialectology, Linguistic geography, Geographic information science, Bayesian inference}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.GIScience.2023.71
Inferring the History of Spatial Diffusion Processes (Short Paper)

Authors: Takuya Takahashi, Geneviève Hannes, Nico Neureiter, and Peter Ranacher

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)

Abstract
When studying the spatial diffusion of a phenomenon, we often know its geographic distribution at one or more snapshots in time, while the complete history of the diffusion process is unknown. For example, we know when and where the first Indo-European languages arrived in South America and their current distribution. However, we do not know the history of how these languages spread, displacing the indigenous languages from their original habitat. We present a Bayesian model to interpolate the history of a diffusion process between two points in time with known geographical distributions. We apply the model to recover the spread of the Indo-European languages in South America and infer a posterior distribution of possible evolutionary histories of how they expanded their areas since the time of the first invasion by Europeans. Our model is more generally applicable to infer the evolutionary history of geographic diffusion phenomena from incomplete data.
Cite as

Takuya Takahashi, Geneviève Hannes, Nico Neureiter, and Peter Ranacher. Inferring the History of Spatial Diffusion Processes (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 71:1-71:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{takahashi_et_al:LIPIcs.GIScience.2023.71,
  author =	{Takahashi, Takuya and Hannes, Genevi\`{e}ve and Neureiter, Nico and Ranacher, Peter},
  title =	{{Inferring the History of Spatial Diffusion Processes}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{71:1--71:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.71},
  URN =		{urn:nbn:de:0030-drops-189662},
  doi =		{10.4230/LIPIcs.GIScience.2023.71},
  annote =	{Keywords: Bayesian inference, geographic diffusion, language evolution, Indo-European, colonisation of the Americas}
}
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