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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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A machine readable collection of lexical data on the Burmish languages

Authors: Hill, Nathan; Cooper, Douglas;

A machine readable collection of lexical data on the Burmish languages

Abstract

This dataset includes lexical lists, mostly semantically normalized to WordNet, that brings together with near comprehensiveness the published data on Burmish languages. It was compiled by the ERC project 'Asia: Beyond Boundaries' in collaboration with the Center for Research in Computational Linguistics. The Bibtex references can be found at this Zenodo deposit-- Hill, Nathan, List, Johann-Mattis, & Gong, Xun. (2020). Asia.bib: A bibtex bibliography for Asian Historical Linguistics [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3759114

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Keywords

Maru, Xiandao, Sino-Tibetan linguistics, Tibeto-Burman linguistics, Bola, Achang, Burmish Languages

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selected citations
These citations are derived from selected sources.
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
OpenAIRE UsageCountsViews provided by UsageCounts
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