Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.1

PID

ReLDI-NormTagNER-sr 2.1 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).

As an update to version 2.0, version 2.1 corrects some annotation errors and adds morphosyntactic annotations in the Universal Dependencies formalism in addition to the MULTEXT-East morphosyntactic descriptions. The corpus is now also available in CoNLL-U format.

Identifier
PID http://hdl.handle.net/11356/1240
Related Identifier http://dx.doi.org/10.4312/slo2.0.2016.2.156-188
Related Identifier http://hdl.handle.net/11356/1171
Related Identifier http://hdl.handle.net/11356/1794
Related Identifier https://reldi.spur.uzh.ch/
Metadata Access http://www.clarin.si/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:www.clarin.si:11356/1240
Provenance
Creator Ljubešić, Nikola; Erjavec, Tomaž; Batanović, Vuk; Miličević, Maja; Samardžić, Tanja
Publisher Jožef Stefan Institute
Publication Year 2019
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 application/zip; application/pdf; text/plain; charset=utf-8; downloadable_files_count: 4
Discipline Linguistics