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Dataset and baseline model of moderated content FRENK-MMC-RTV 1.0
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Dataset and baseline model of moderated content FRENK-STYRIA-24sata 1.0
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Serbian Twitter training corpus ReLDI-NormTag-sr 1.0
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Abstract:
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
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Keyword:
computer-mediated communication; lemmatisation; manual annotation; tagging; TEI; tokenisation; word normalisation
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URL: http://hdl.handle.net/11356/1096
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