Wortschatz – eng_news_2016

English news corpus based on material from 2016 avec 156 934 303 Phrases. Changer de corpus

Description

English news corpus based on material from 2016

Détails

Nom	eng_news_2016	Phrases	156 934 303
Langue	English ()	Types	11 609 720
Genre	News	Mots	3 333 953 553
An	2016

URL du corpus

https://corpora.uni-leipzig.de?corpusId=eng_news_2016

Annotations

coocSim
GDEX
POS (TreeTagger - unknown)

Citez ce corpus

Leipzig Corpora Collection: English news corpus based on material from 2016. Leipzig Corpora Collection. Dataset. https://corpora.uni-leipzig.de?corpusId=eng_news_2016. BibTeX

@misc{eng_news_2016,
    author = {Leipzig Corpora Collection},
    title = {English news corpus based on material from 2016},
    howpublished = {https://corpora.uni-leipzig.de?corpusId=eng_news_2016},
    note = {Accessed: 2025-04-11}
}

Mot-clé:

scavenger

Nombre d’occurrences: 4 779 Rang: 33 369 Classe de fréquence: 15

Voir aussi: Scavenger, SCAVENGER
Partie du discours: Nom
Forme de base de: scavengers, Scavengers, Scavenger

Partie de: scavenger hunt, Internet scavenger hunt

scavenger

Voisins significatifs:

Graphique