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Historical language comparison with LingPy and EDICTOR

Authors: Johann-Mattis List;

Historical language comparison with LingPy and EDICTOR

Abstract

Historical language comparison for the purpose of identifying cognates and sound correspondences in multilingual wordlists which can later be used to infer phylogenetic trees can be conveniently carried out in a framework of computer-assisted language comparison (see http://calc.digling.org), using tools for automatic inference, like LingPy (http://lingpy.org, List and Forkel 2016, and tools for data annotation and curation, like EDICTOR (http://edictor.digling.org, List 2017. In this tutorial, we will guide the users through all important steps ranging from data preparation, via data curation, to data export.

Keywords

computer-assisted language comparison, cognate identification, historical linguistics, Literature, FOS: Languages and literature, Linguistics, Computational linguistics, Historical linguistics, computational historical 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).
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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.
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