| dc.contributor.author | Ljubešić, Nikola |
| dc.contributor.author | Erjavec, Tomaž |
| dc.contributor.author | Batanović, Vuk |
| dc.contributor.author | Miličević, Maja |
| dc.contributor.author | Samardžić, Tanja |
| dc.date.accessioned | 2023-04-07T15:38:52Z |
| dc.date.available | 2023-04-07T15:38:52Z |
| dc.date.issued | 2023-04-07 |
| dc.identifier.uri | http://hdl.handle.net/11356/1794 |
| dc.description | 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. |
| dc.language.iso | srp |
| dc.publisher | Jožef Stefan Institute |
| dc.relation.isreferencedby | http://dx.doi.org/10.4312/slo2.0.2016.2.156-188 |
| dc.relation.replaces | http://hdl.handle.net/11356/1240 |
| dc.rights | Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) |
| dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ |
| dc.rights.label | PUB |
| dc.source.uri | https://github.com/reldi-data/reldi-normtagner-sr |
| dc.source.uri | https://reldi.rs/ |
| dc.subject | computer-mediated communication |
| dc.subject | tokenisation |
| dc.subject | word normalisation |
| dc.subject | part-of-speech tagging |
| dc.subject | lemmatisation |
| dc.subject | named entities |
| dc.subject | manual annotation |
| dc.subject | TEI |
| dc.title | Serbian Twitter training corpus ReLDI-NormTagNER-sr 3.0 |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| has.files | yes |
| branding | CLARIN.SI data & tools |
| contact.person | Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute |
| sponsor | Jožef Stefan Institute CLARIN CLARIN.SI nationalFunds |
| sponsor | ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds |
| sponsor | ARRS (Slovenian Research Agency) J7-4642 MEZZANINE nationalFunds |
| size.info | 3748 texts |
| size.info | 6899 sentences |
| size.info | 92271 tokens |
| files.count | 4 |
| files.size | 9233057 |
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