Description
English news corpus based on material from 2019
Details
Name |
eng_news_2019 |
Sentences |
29,858,658 |
Language |
English
()
|
Types |
4,383,985 |
Genre |
News |
Tokens |
630,573,583 |
Year |
2019 |
Link to the corpus
https://corpora.uni-leipzig.de?corpusId=eng_news_2019
Annotations
coocSim
GDEX
POS (TreeTagger - https://www.cis.uni-muenchen.de/~schmid/tools/TreeTagger/)
Cite this corpus
Leipzig Corpora Collection: English news corpus based on material from 2019. Leipzig Corpora Collection. Dataset. https://corpora.uni-leipzig.de?corpusId=eng_news_2019.
BibTeX
@misc{eng_news_2019,
author = {Leipzig Corpora Collection},
title = {English news corpus based on material from 2019},
howpublished = {https://corpora.uni-leipzig.de?corpusId=eng_news_2019},
note = {Accessed: 2025-02-19}
}