The Database of Cross-Linguistic Colexifications, reproducible analysis of cross-linguistic polysemies

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作者
Christoph Rzymski
Tiago Tresoldi
Simon J. Greenhill
Mei-Shin Wu
Nathanael E. Schweikhard
Maria Koptjevskaja-Tamm
Volker Gast
Timotheus A. Bodt
Abbie Hantgan
Gereon A. Kaiping
Sophie Chang
Yunfan Lai
Natalia Morozova
Heini Arjava
Nataliia Hübler
Ezequiel Koile
Steve Pepper
Mariann Proos
Briana Van Epps
Ingrid Blanco
Carolin Hundt
Sergei Monakhov
Kristina Pianykh
Sallona Ramesh
Russell D. Gray
Robert Forkel
Johann-Mattis List
机构
[1] Max Planck Institute for the Science of Human History,Department of Linguistic and Cultural Evolution
[2] Australian National University,ARC Centre of Excellence for the Dynamics of Language
[3] Stockholm University,undefined
[4] Friedrich Schiller University,undefined
[5] SOAS,undefined
[6] CNRS LLACAN,undefined
[7] University of Leiden,undefined
[8] Independent English-Chinese Translator and linguistic researcher,undefined
[9] University of Helsinki,undefined
[10] University of Oslo,undefined
[11] University of Tartu,undefined
[12] Lund University,undefined
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摘要
Advances in computer-assisted linguistic research have been greatly influential in reshaping linguistic research. With the increasing availability of interconnected datasets created and curated by researchers, more and more interwoven questions can now be investigated. Such advances, however, are bringing high requirements in terms of rigorousness for preparing and curating datasets. Here we present CLICS, a Database of Cross-Linguistic Colexifications (CLICS). CLICS tackles interconnected interdisciplinary research questions about the colexification of words across semantic categories in the world’s languages, and show-cases best practices for preparing data for cross-linguistic research. This is done by addressing shortcomings of an earlier version of the database, CLICS2, and by supplying an updated version with CLICS3, which massively increases the size and scope of the project. We provide tools and guidelines for this purpose and discuss insights resulting from organizing student tasks for database updates.
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