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ZENODO
Dataset . 2021
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 . 2021
Data sources: Datacite
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ZENODO
Dataset . 2021
Data sources: ZENODO
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Modern Tibetan corpus annotated for verb-argument dependency relations

Authors: Jamyang Dakpa; Tashi Dhondup; Yeshi Jigme Gangne; Edward Garrett; Marieke Meelen; Sonam Wangyal;

Modern Tibetan corpus annotated for verb-argument dependency relations

Abstract

This is a small hand-annotated partial treebank of Modern Tibetan, primarily in CoNLL-U format. Some texts were POS-tagged by machine, and then dependency relations between verbs and their arguments were added by hand. Other texts include only dependency relations and relevant POS-tags. A number of the texts have English translations which have been manually aligned to the Tibetan text. This work was created as part of the AHRC-funded project Lexicography in Motion (PI Ulrich Pagel, 2017-2021).

Funded by the UK's Arts and Humanities Research Council (grant code: AH/P004644/1)

Keywords

corpus linguistics, Tibetan language, universal dependencies, natural language processing

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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.
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influence
This indicator 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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impulse
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