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Dataset . 2021
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Dataset . 2021
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Dataset . 2022
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Dataset . 2023
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Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset . 2024
License: CC BY
Data sources: Datacite
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Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Abstract

PaRuS is a morphologically tagged and dependency-parsed 2.5 B token corpus of Russian sentences. It consists of more than 150 M isolated sentences taken from open-source texts. The annotation scheme is that of the SynTagRus corpus.

See https://parus-proj.github.io/PaRuS for more details. The work was funded by RFBR through the research project No. 19-07-00779.

Keywords

corpus, Russian, morphologically tagged, dependency-parsed

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citations
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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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