dc.contributor.author | Ljubešić, Nikola |
dc.contributor.author | Erjavec, Tomaž |
dc.contributor.author | Miličević, Maja |
dc.contributor.author | Samardžić, Tanja |
dc.date.accessioned | 2017-12-18T12:37:57Z |
dc.date.available | 2017-12-18T12:37:57Z |
dc.date.issued | 2017-12-16 |
dc.identifier.uri | http://hdl.handle.net/11356/1171 |
dc.description | 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. |
dc.language.iso | srp |
dc.publisher | Jožef Stefan Institute |
dc.relation.isreferencedby | http://dx.doi.org/10.4312/slo2.0.2016.2.156-188 |
dc.relation.replaces | http://hdl.handle.net/11356/1120 |
dc.relation.isreplacedby | http://hdl.handle.net/11356/1240 |
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 | named entities |
dc.subject | manual annotation |
dc.subject | TEI |
dc.title | Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.0 |
dc.type | corpus |
metashare.ResourceInfo#ContentInfo.mediaType | text |
hidden | hidden |
hasMetadata | false |
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 | 91781 tokens |
size.info | 3748 texts |
files.count | 3 |
files.size | 2126074 |
Datoteke v tem vnosu
Prenesi vse datoteke v vnosu (2.03 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.TEI.zip
- Velikost
- 1.14 MB
- Format
- application/zip
- Opis
- Corpus in TEI format
- MD5
- b5dcf0591bd2524110e88b9bb67523b2
- ReLDI-sr.TEI
- reldi-sr.body.xml6 MB
- msd-fslib-bs.xml82 kB
- schema
- janes_tei.rng400 kB
- janes_tei.zip45 kB
- janes_tei.rnc188 kB
- janes_tei_schema.xml2 kB
- janes_tei_doc.html2 MB
- reldi-sr.xml7 kB
- 00README.txt183 B

- Ime
- ReLDI-sr.vert.zip
- Velikost
- 643.89 KB
- Format
- application/zip
- Opis
- Derived corpus in vertical format
- MD5
- e3ebbc37d1ce025c687b545cf0ff3446
- ReLDI-sr.vert
- reldi_sr.vert2 MB
- reldi_sr.regi2 kB
- 00README.txt183 B

- Ime
- ReLDI-NormTag-Guidelines.pdf
- Velikost
- 261.5 KB
- Format
- Opis
- Annotation guidelines (in Serbo-Croatian)
- MD5
- 237ec14a7885af2b6d7cd3e3853ec70a