Description
Russian news corpus based on material from 2019
Details
Name |
rus_news_2019 |
Sentences |
7,649,277 |
Language |
Russian
()
|
Types |
1,703,069 |
Genre |
News |
Tokens |
108,851,804 |
Year |
2019 |
Link to the corpus
https://corpora.uni-leipzig.de?corpusId=rus_news_2019
Annotations
coocSim
GDEX
POS (RFTagger - https://www.cis.uni-muenchen.de/~schmid/tools/RFTagger/)
Cite this corpus
Leipzig Corpora Collection: Russian news corpus based on material from 2019. Leipzig Corpora Collection. Dataset. https://corpora.uni-leipzig.de?corpusId=rus_news_2019.
BibTeX
@misc{rus_news_2019,
author = {Leipzig Corpora Collection},
title = {Russian news corpus based on material from 2019},
howpublished = {https://corpora.uni-leipzig.de?corpusId=rus_news_2019},
note = {Accessed: 2024-10-15}
}