Description
Czech news corpus based on material from 2019
Details
| Name |
ces_news_2019 |
Sentences |
2,077,712 |
| Language |
Czech
()
|
Types |
723,352 |
| Genre |
News |
Tokens |
29,459,850 |
| Year |
2019 |
Link to the corpus
https://corpora.uni-leipzig.de?corpusId=ces_news_2019
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 2019. Leipzig Corpora Collection. Dataset. https://corpora.uni-leipzig.de?corpusId=ces_news_2019.
BibTeX
@misc{ces_news_2019,
author = {Leipzig Corpora Collection},
title = {Czech news corpus based on material from 2019},
howpublished = {https://corpora.uni-leipzig.de?corpusId=ces_news_2019},
note = {Accessed: 2025-03-13}
}
