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ZENODO
Dataset . 2023
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 . 2023
License: CC BY
Data sources: ZENODO
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 . 2023
License: CC BY
Data sources: Datacite
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OcWikiAnnot: Annotated Wikipedia Corpus of Occitan

Authors: Miletic, Aleksandra;

OcWikiAnnot: Annotated Wikipedia Corpus of Occitan

Abstract

{"references": ["Aleksandra Mileti\u0107 and Janine Siewert. 2023. Lemmatization Experiments on Two Low-Resourced Languages: Occitan and Low Saxon. In Proceedings of the Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (to appear). Association for Computational Linguistics."]}

OcWikiAnnot is a corpus of Wikipedia content in Occitan that is tokenized, PoS-tagged and lemmatized. The corpus contains 100 000 sentences for a total of 2 037 723 tokens. It is based on the Wikipedia corpus in Occitan that is part of the Leipzig Corpora Collection.

Related Organizations
Keywords

Occitan, Wikipedia, PoS-tagging, lemmatization

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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
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