Croatian Twitter training corpus ReLDI-NormTagNER-hr 3.0

  Avtorji

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

  Identifikator vnosa

http://hdl.handle.net/11356/1793

 URL projekta

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

 Dokumentirano v

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

 Datum objave

2023-04-07

 Vrsta

corpus, text

 Velikost

3871 texts, 7939 sentences, 89855 tokens

 Jezik(i)

Croatian

 Opis

ReLDI-NormTagNER-hr 3.0 is a manually annotated corpus of Croatian 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 Croatian. 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 errors corrected and the dataset encoded in the CoNLL-U-Plus format, similar to other manually annotated linguistic 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.

 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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