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Software . 2021
License: CC BY NC
Data sources: Datacite
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ZENODO
Software . 2021
License: CC BY NC
Data sources: ZENODO
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ZENODO
Software . 2021
License: CC BY NC
Data sources: Datacite
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LingPy. A Python Library for Historical Linguistics

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Jul 2021Publisher:Zenodo
Authors: Johann-Mattis List; Forkel, Robert;

doi: 10.5281/zenodo.5144474 , 10.5281/zenodo.597082

LingPy. A Python Library for Historical Linguistics

Abstract

Cite the library as: List, Johann-Mattis and Forkel, Robert (2021): LingPy. A Python library for historical linguistics. Version 2.6.7. URL: http://lingpy.org, DOI: https://zenodo.org/badge/latestdoi/5137/lingpy/lingpy. With contributions by Simon J. Greenhill, Tiago Tresoldi, Christoph Rzymski, Gereon Kaiping, Steven Moran, Peter Bouda, Johannes Dellert, Taraka Rama, Frank Nagel. Jena: Max Planck Institute for the Science of Human History.

Keywords

cldf:Wordlist, linguistics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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