Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.0

  Avtorji

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

  Identifikator vnosa

http://hdl.handle.net/11356/1171

 Dokumentirano v

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

 Datum objave

2017-12-16

 Vrsta

corpus, text

 Velikost

91781 tokens, 3748 texts

 Jezik(i)

Serbian

 Opis

ReLDI-NormTagNER-sr 2.0 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). As an update to version 1.1, 2.0 adds annotations for named entities.

 Izdajatelj

Jožef Stefan Institute

 Zahvala

Swiss National Science Foundation 160501 "ReLDI"

ARRS (Slovenian Research Agency) J6-6842 "JANES: Resources, Tools and Methods for the Research of Nonstandard Internet Slovene"

ARRS (Slovenian Research Agency) P2-103 "Knowledge Technologies"

 Ključne besede

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

 Zbirke

CLARIN.SI data & tools

 

Ta vnos je bil nadomeščen z novejšim.

http://hdl.handle.net/11356/1240

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