| dc.contributor.author | Ljubešić, Nikola |
| dc.contributor.author | Farkaš, Daša |
| dc.contributor.author | Klubička, Filip |
| dc.contributor.author | Erjavec, Tomaž |
| dc.contributor.author | Miličević, Maja |
| dc.contributor.author | Vuković, Teodora |
| dc.date.accessioned | 2017-05-15T13:43:51Z |
| dc.date.available | 2017-05-15T13:43:51Z |
| dc.date.issued | 2017-05-14 |
| dc.identifier.uri | http://hdl.handle.net/11356/1120 |
| dc.description | ReLDI-NormTag-sr 1.1 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 and lemmatisation 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 1.0, 1.1 corrects some minor errors. 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 |
| dc.language.iso | srp |
| dc.publisher | Jožef Stefan Institute |
| dc.relation.replaces | http://hdl.handle.net/11356/1096 |
| dc.relation.isreplacedby | http://hdl.handle.net/11356/1171 |
| dc.rights | Creative Commons - Attribution 4.0 International (CC BY 4.0) |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
| dc.rights.label | PUB |
| dc.subject | computer-mediated communication |
| dc.subject | tokenisation |
| dc.subject | word normalisation |
| dc.subject | tagging |
| dc.subject | lemmatisation |
| dc.subject | manual annotation |
| dc.subject | TEI |
| dc.title | Serbian Twitter training corpus ReLDI-NormTag-sr 1.1 |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| hidden | hidden |
| has.files | yes |
| branding | CLARIN.SI data & tools |
| contact.person | Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute |
| contact.person | Tomaž Erjavec tomaz.erjavec@ijs.si Jožef Stefan Institute |
| sponsor | Swiss National Science Foundation 160501 ReLDI Other |
| sponsor | ARRS (Slovenian Research Agency) J6-6842 JANES: Resources, Tools and Methods for the Research of Nonstandard Internet Slovene nationalFunds |
| sponsor | ARRS (Slovenian Research Agency) P2-103 Knowledge Technologies nationalFunds |
| size.info | 3748 texts |
| size.info | 91781 tokens |
| files.count | 3 |
| files.size | 2102052 |
Datoteke v tem vnosu
Prenesi vse datoteke v vnosu (2 MB)To je vnos
Creative Commons - Attribution 4.0 International (CC BY 4.0)
Publicly Available
z licenco:Creative Commons - Attribution 4.0 International (CC BY 4.0)
- Ime
- ReLDI-sr.zip
- Velikost
- 1.11 MB
- Format
- application/zip
- Opis
- Corpus in TEI format
- MD5
- 3f2275ec64448ee9ac16262d95929c24
- schema
- tei_janes_doc.html2 MB
- tei_janes.rng399 kB
- tei_janes_schema.xml2 kB
- tei_janes.zip44 kB
- tei_janes.rnc188 kB
- reldi-sr.body.xml6 MB
- msd-fslib-bs.xml82 kB
- reldi-sr.xml5 kB
- Ime
- ReLDI-sr.vert.zip
- Velikost
- 656.46 KB
- Format
- application/zip
- Opis
- Derived corpus in vertical format
- MD5
- 03dd441c155df9c25421a563645138d0
- Ime
- ReLDI-NormTag-Guidelines.pdf
- Velikost
- 261.5 KB
- Format
- Opis
- Annotation guidelines (in Serbo-Croatian)
- MD5
- 237ec14a7885af2b6d7cd3e3853ec70a