Serbian Twitter training corpus ReLDI-NormTag-sr 1.0

  Authors

Ljubešić, Nikola ; et al.show everyone

Ljubešić, Nikola ; Farkaš, Daša ; Klubička, Filip ; Erjavec, Tomaž ; Miličević, Maja ; Vuković, Teodora

  Item identifier

http://hdl.handle.net/11356/1096

 Date issued

2017-04-04

 Type

corpus, text

 Size

91782 tokens, 3748 texts

 Language(s)

Serbian

 Description

ReLDI-NormTag-sr 1.0 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 and lemmatisation of non-standard Serbian. Each tweet is also annotated for its automatically assigned standardness levels (T = technical standardness, L = linguistic standardness). The corpus construction is (partially) described in: MILIČEVIĆ, Maja, LJUBEŠIĆ, Nikola. Tviterasi, tviteraši or twitteraši? Producing and analysing a normalised dataset of Croatian and Serbian tweets. Slovenščina 2.0: empirical, applied and interdisciplinary research, 4/2, 2016. ISSN 2335-2736. http://dx.doi.org/10.4312/slo2.0.2016.2.156-188

 Publisher

Jožef Stefan Institute

 Acknowledgement

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"

 Subject(s)

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

 Collection(s)

CLARIN.SI data & tools

 

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