Serbian Twitter training corpus ReLDI-NormTagNER-sr 3.0

PID

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 (https://reldi.spur.uzh.ch).

Identifier
PID http://hdl.handle.net/11356/1794
Related Identifier http://dx.doi.org/10.4312/slo2.0.2016.2.156-188
Related Identifier http://hdl.handle.net/11356/1240
Related Identifier https://github.com/reldi-data/reldi-normtagner-sr
Metadata Access http://www.clarin.si/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:www.clarin.si:11356/1794
Provenance
Creator Ljubešić, Nikola; Erjavec, Tomaž; Batanović, Vuk; Miličević, Maja; Samardžić, Tanja
Publisher Jožef Stefan Institute
Publication Year 2023
Rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0); https://creativecommons.org/licenses/by-sa/4.0/; PUB
OpenAccess true
Contact info(at)clarin.si
Representation
Language Serbian
Resource Type corpus
Format text/plain; charset=utf-8; application/octet-stream; application/gzip; downloadable_files_count: 4
Discipline Linguistics