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dc.contributor.author Terčon, Luka
dc.contributor.author Ljubešić, Nikola
dc.date.accessioned 2023-02-03T16:56:23Z
dc.date.available 2023-02-03T16:56:23Z
dc.date.issued 2023-01-31
dc.identifier.uri http://hdl.handle.net/11356/1764
dc.description This model for JOS dependency parsing of standard Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SUK training corpus (http://hdl.handle.net/11356/1747) and using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1204) expanded with the MaCoCu-sl Slovene web corpus (http://hdl.handle.net/11356/1517). The estimated LAS of the parser is ~93.89. The difference to the previous version of the model is that the model was trained using the SUK training corpus and uses the updated embeddings.
dc.language.iso slv
dc.publisher Jožef Stefan Institute
dc.relation.isreferencedby https://aclanthology.org/W19-3704/
dc.relation.replaces http://hdl.handle.net/11356/1325
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 parsing
dc.subject language model
dc.title The CLASSLA-Stanza model for JOS dependency parsing of standard Slovenian 2.0
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
has.files yes
branding CLARIN.SI data & tools
contact.person Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute
contact.person Luka Terčon luka.tercon@gmail.com Faculty of Computer and Information Science, University of Ljubljana
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
files.count 2
files.size 185076109


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