Serbian Twitter training corpus ReLDI-NormTagNER-sr 3.0

  Avtorji

Ljubešić, Nikola ; Erjavec, Tomaž ; Batanović, Vuk ; Miličević, Maja and Samardžić, Tanja

  Identifikator vnosa

http://hdl.handle.net/11356/1794

 URL projekta

https://github.com/reldi-data/reldi-normtagner-sr

 Dokumentirano v

http://dx.doi.org/10.4312/slo2.0.2016.2.156-188

 Datum objave

2023-04-07

 Vrsta

corpus, text

 Velikost

3748 texts, 6899 sentences, 92271 tokens

 Jezik(i)

Serbian

 Opis

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).

 Izdajatelj

Jožef Stefan Institute

 Zahvala

Jožef Stefan Institute CLARIN "CLARIN.SI"

ARRS (Slovenian Research Agency) P6-0411 "Language Resources and Technologies for Slovene"

ARRS (Slovenian Research Agency) J7-4642 "MEZZANINE"

 Ključne besede

computer-mediated communication tokenisation word normalisation part-of-speech tagging lemmatisation named entities manual annotation TEI

 Zbirke

CLARIN.SI data & tools

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