Description
Czech news corpus based on material from 2022
Details
Name |
ces_news_2022 |
Sentences |
2,376,754 |
Language |
Czech
()
|
Types |
770,568 |
Genre |
News |
Tokens |
36,412,504 |
Year |
2022 |
Link to the corpus
https://corpora.uni-leipzig.de?corpusId=ces_news_2022
Annotations
coocSim
GDEX
POS (RFTagger - https://www.cis.uni-muenchen.de/~schmid/tools/RFTagger/)
Cite this corpus
Leipzig Corpora Collection: Czech news corpus based on material from 2022. Leipzig Corpora Collection. Dataset. https://corpora.uni-leipzig.de?corpusId=ces_news_2022.
BibTeX
@misc{ces_news_2022,
author = {Leipzig Corpora Collection},
title = {Czech news corpus based on material from 2022},
howpublished = {https://corpora.uni-leipzig.de?corpusId=ces_news_2022},
note = {Accessed: 2024-10-10}
}