2026-05-21T19:17:16Zhttp://www.clarin.si/repository/oai/requestoai:www.clarin.si:11356/19042024-05-07T11:48:21Zhdl_11356_1023hdl_11356_1024
Monitor corpus of Slovene Trendi 2023-11
Kosem, Iztok
Čibej, Jaka
Dobrovoljc, Kaja
Erjavec, Tomaž
Ljubešić, Nikola
Ponikvar, Primož
Šinkec, Mihael
Krek, Simon
monitor corpus
news corpus
universal dependencies
temporal trends
topic attribution
The Trendi corpus is a monitor corpus of Slovenian. It contains news articles from 106 media websites, published by 70 publishers. Trendi 2023-11 covers the period from January 2019 to November 2023, complementing the Gigafida 2.0 reference corpus of written Slovene (http://hdl.handle.net/11356/1320).
The contents of the Trendi corpus are obtained using the Jožef Stefan Institute Newsfeed service (http://newsfeed.ijs.si/). The texts have been annotated using the CLASSLA-Stanza pipeline (https://github.com/clarinsi/classla), including syntactic parsing according to the Universal Dependencies (https://universaldependencies.org/sl/) and Named Entities (https://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf).
An important addition are topics or thematical categories, which have been automatically assigned to each text. There are 13 categories altogether: Arts and culture, Crime and accidents, Economy, Environment, Health, Leisure, Politics and Law, Science and Technology, Society, Sports, Weather, Entertainment, and Education. The text classification uses the following models: Text classification model SloBERTa-Trendi-Topics 1.0 (http://hdl.handle.net/11356/1709), Text classification model fastText-Trendi-Topics 1.0 (http://hdl.handle.net/11356/1710), and the SloBERTa model (https://huggingface.co/cjvt/sloberta-trendi-topics).
The corpus is currently not available as a downloadable dataset due to copyright restrictions but we hope to make at least some of it available in the near future. The corpus is accessible through CLARIN.SI concordancers.
This version adds texts from October to November 2023.
2023-12-09
corpus
http://hdl.handle.net/11356/1904
slv
http://euralex.org/wp-content/themes/euralex/proceedings/Euralex%202022/EURALEX2022_Pr_p230-239_Kosem.pdf
https://nl.ijs.si/jtdh22/pdf/JTDH2022_Kosem-et-al_Spremljevalni-korpus-Trendi.pdf
https://doi.org/10.4312/slo2.0.2023.1.161-188
http://hdl.handle.net/11356/1879
http://hdl.handle.net/11356/1906
downloadable_files_count: 0
Jožef Stefan Institute
Centre for Language Resources and Technologies, University of Ljubljana
https://sled.ijs.si/