Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.1

  Avtorji

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

  Identifikator vnosa

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

 URL projekta

https://reldi.spur.uzh.ch/

 Dokumentirano v

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

 Datum objave

2019-07-28

 Vrsta

corpus, text

 Velikost

3748 texts, 91781 tokens

 Jezik(i)

Serbian

 Opis

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.

 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"

Jožef Stefan Institute CLARIN "CLARIN.SI"

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

 Ključne besede

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

 Zbirke

CLARIN.SI data & tools

 

Ta vnos je bil nadomeščen z novejšim.

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

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