35.3180, Calls: Bridging the Gap, Workshop: Unifying approaches to linguistic evolution
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LINGUIST List: Vol-35-3180. Mon Nov 11 2024. ISSN: 1069 - 4875.
Subject: 35.3180, Calls: Bridging the Gap, Workshop: Unifying approaches to linguistic evolution
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Date: 08-Nov-2024
From: Sarah Babinski [sarah.babinski at uzh.ch]
Subject: Bridging the Gap, Workshop: Unifying approaches to linguistic evolution
Full Title: Bridging the Gap, Workshop: Unifying approaches to
linguistic evolution
Date: 13-Mar-2025 - 14-Mar-2025
Location: University of Zurich, Zurich, Switzerland
Contact Person: Sarah Babinski
Meeting Email: sarah.babinski at uzh.ch
Web Site:
https://www.comparativelinguistics.uzh.ch/en/events/bridging-the-gap.html
Linguistic Field(s): Computational Linguistics; Discipline of
Linguistics; General Linguistics; Historical Linguistics
Call Deadline: 17-Dec-2024
Meeting Description:
Recent years have seen an increase in quantitative and computational
approaches to modeling language change. Such approaches include
phylogenetic methods for modeling language diversification and
reconstructing language histories (Dunn et al. 2011, Bouckaert et al.
2018, Heggarty et al. 2023), as well as other methods focusing on the
dynamics of language change in real time within individual speech
communities (Fruehwald 2016, Kauhanen 2017, Josserand et al. 2021).
These approaches have provided many novel insights into the dynamics
of language change and language history, and they continue to be
developed and refined in current scholarship.
Methods for studying language change over large periods of time have
advanced immensely in the past decade, incorporating (primarily
Bayesian) phylogenetic methods borrowed from biology to reconstruct
language family trees. Phylogenetic comparative methods have shed
light on the dynamics of different linguistic features across language
histories. Further work has sought to incorporate horizontal
transmission (i.e., loanwords and borrowing) into these evolutionary
models (Neureiter et al. 2022).
In tandem with these longer-range approaches, methods for modeling
language change via individual-level interactions have also flourished
with the addition of new computational methods. Agent-based models can
simulate at the level of the language community how variation spreads
and how permanent changes come to be by taking into account language
learning, language contact, and social dynamics of a community
(Hartmann 2023).
This workshop seeks scholars working in the broader field of
linguistic evolution to present their research on quantitative and
computational approaches to modeling language change using various
methods and focusing on different areas of language. We hope through
this event to facilitate conversations across subdisciplines.
Call for Papers:
Abstracts should be no longer than two pages long, including figures
and references. Please submit abstracts as an email attachment (PDF)
and send to chundra.cathcart at uzh.ch with the subject “Abstract
submission for Bridging the Gap workshop” no later than 23:59 AOE on
17 December 2024.
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