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dc.contributor.author Terčon, Luka
dc.contributor.author Dobrovoljc, Kaja
dc.contributor.author Ljubešić, Nikola
dc.date.accessioned 2025-02-10T13:34:19Z
dc.date.available 2025-02-10T13:34:19Z
dc.date.issued 2025-02-07
dc.identifier.uri http://hdl.handle.net/11356/2016
dc.description This model for morphosyntactic annotation of spoken Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SST treebank of spoken Slovenian (https://github.com/UniversalDependencies/UD_Slovenian-SST) combined with the SUK training corpus (http://hdl.handle.net/11356/1959) and using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1791) that were expanded with the MaCoCu-sl Slovene web corpus (http://hdl.handle.net/11356/1517). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~96.76.
dc.language.iso slv
dc.publisher Jožef Stefan Institute
dc.relation.isreferencedby https://doi.org/10.5281/zenodo.13936406
dc.rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.label PUB
dc.source.uri https://github.com/clarinsi/classla
dc.subject part-of-speech tagging
dc.title The CLASSLA-Stanza model for morphosyntactic annotation of spoken Slovenian 2.2
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
has.files yes
branding CLARIN.SI data & tools
contact.person Luka Terčon luka.tercon@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana
contact.person Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute
sponsor ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds
sponsor Ministry of Culture C3340-20-278001 Development of Slovene in a Digital Environment Other
sponsor ARRS (Slovenian Research Agency) J7-4642 MEZZANINE nationalFunds
sponsor ARRS (Slovenian Research Agency) Z6-4617 Treebank-Driven Approach to the Study of Spoken Slovenian nationalFunds
files.count 2
files.size 539741409


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