Wortschatz – deu_news_2022

German news corpus based on material from 2022 avec 31 774 802 Phrases. Changer de corpus

Description

German news corpus based on material from 2022

Détails

Nom	deu_news_2022	Phrases	31 774 802
Langue	German ()	Types	5 674 456
Genre	News	Mots	500 417 630
An	2022

URL du corpus

https://corpora.uni-leipzig.de?corpusId=deu_news_2022

Annotations

coocSim
GDEX
POS (TreeTagger - https://www.cis.uni-muenchen.de/~schmid/tools/TreeTagger/)

Citez ce corpus

Leipzig Corpora Collection: German news corpus based on material from 2022. Leipzig Corpora Collection. Dataset. https://corpora.uni-leipzig.de?corpusId=deu_news_2022. BibTeX

@misc{deu_news_2022,
    author = {Leipzig Corpora Collection},
    title = {German news corpus based on material from 2022},
    howpublished = {https://corpora.uni-leipzig.de?corpusId=deu_news_2022},
    note = {Accessed: 2025-04-04}
}

Mot-clé:

Ruland

Nombre d’occurrences: 695 Rang: 38 153 Classe de fréquence: 14

Partie du discours: Nom propre

Partie de: Tina Ruland, Andreas Ruland, Marc Ruland, Franz Ruland, Herbert Ruland, David Ruland, Detlev Ruland, Florian Ruland, Isabel Ruland, Jens Ruland, Johann Seger Ruland, Wolfgang Ruland

césures: Ru|land

Ruland

Voisins significatifs:

Graphique

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