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The database of cross-linguistic colexifications, reproducible analysis of cross-linguistic polysemies

MPS-Authors
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Rzymski,  Christoph
Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society;

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Tresoldi,  Tiago
CALC, Max Planck Institute for the Science of Human History, Max Planck Society;

/persons/resource/persons185771

Greenhill,  Simon J.
Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society;

/persons/resource/persons221073

Wu,  Mei-Shin
CALC, Max Planck Institute for the Science of Human History, Max Planck Society;

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Schweikhard,  Nathanael E.
CALC, Max Planck Institute for the Science of Human History, Max Planck Society;

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Morozova,  Natalia
Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society;

/persons/resource/persons221846

Koile,  Ezequiel
Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society;

/persons/resource/persons138255

Gray,  Russell D.
Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society;

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Forkel,  Robert
Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society;

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List,  Johann-Mattis
CALC, Max Planck Institute for the Science of Human History, Max Planck Society;

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Citation

Rzymski, C., Tresoldi, T., Greenhill, S. J., Wu, M.-S., Schweikhard, N. E., Koptjevskaja-Tamm, M., et al. (2020). The database of cross-linguistic colexifications, reproducible analysis of cross-linguistic polysemies. Scientific Data, 7: 13. doi:10.1038/s41597-019-0341-x.


Cite as: http://hdl.handle.net/21.11116/0000-0004-9744-5
Abstract
Advances in computer-assisted linguistic research are greatly influencing and reshaping linguistic investigation. 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. In this work we present CLICS, a Database of Cross-Linguistic Colexifications which aims to both tackle interdisciplinary and interconnected research questions as well as showcasing best practices in preparing data for cross-linguistic research. This is done by addressing shortcomings of an earlier version of the database, CLICS2, and 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.