2026-05-22T01:45:51Zhttp://www.clarin.si/repository/oai/request

oai:www.clarin.si:11356/17942025-05-20T08:47:30Zhdl_11356_1023hdl_11356_1024

Serbian Twitter training corpus ReLDI-NormTagNER-sr 3.0 Ljubešić, Nikola Erjavec, Tomaž Batanović, Vuk Miličević, Maja Samardžić, Tanja computer-mediated communication tokenisation word normalisation part-of-speech tagging lemmatisation named entities manual annotation TEI ReLDI-NormTagNER-sr 3.0 is a manually annotated corpus of Serbian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word normalisation, morphosyntactic tagging, lemmatisation and named entity recognition of non-standard Serbian. Each tweet is also annotated for its automatically assigned standardness levels (T = technical standardness, L = linguistic standardness). This version of the dataset has various annotation mistakes corrected, and is now encoded in the CoNLL-U-Plus format, as are other linguistic training datasets for Croatian and Serbian. The continuous improvement of this dataset is led by the CLASSLA knowledge centre for South Slavic languages (https://www.clarin.si/info/k-centre/) and the ReLDI Centre Belgrade. 2023-04-07 corpus http://hdl.handle.net/11356/1794 srp http://dx.doi.org/10.4312/slo2.0.2016.2.156-188 http://hdl.handle.net/11356/1240 Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) https://creativecommons.org/licenses/by-sa/4.0/ PUB text/plain; charset=utf-8 application/octet-stream application/gzip application/gzip application/gzip downloadable_files_count: 4 Jožef Stefan Institute https://github.com/reldi-data/reldi-normtagner-sr