Wortschatz – eng_news_2016

English news corpus based on material from 2016 with 156,934,303 sentences. Change corpus

Description

English news corpus based on material from 2016

Details

Name	eng_news_2016	Sentences	156,934,303
Language	English ()	Types	11,609,720
Genre	News	Tokens	3,333,953,553
Year	2016

Link to the corpus

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

Annotations

coocSim
GDEX
POS (TreeTagger - unknown)

Cite this 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: 2025-04-13}
}

Word:

Enter

Number of occurrences: 34,521 Rank: 8,535 Frequency class: 12

See also: enter, ENTER
Part of speech: Verb, Proper noun
Baseform: enter
Baseform of: ENTER

Part of: Enter Sandman, Enter the Dragon, Enter Shikari, Enter the Haggis, Enter the Void, Enter key, Enter Laughing, Enter the Ninja, Enter Stage Right, Enter the Matrix, Enter TV, Enter the Dru, Enter the Phoenix

Enter

Neighbour Cooccurrences:

Word graph