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dc.contributor.author Ljubešić, Nikola
dc.contributor.author Krsnik, Luka
dc.date.accessioned 2021-02-02T08:06:17Z
dc.date.available 2021-02-02T08:06:17Z
dc.date.issued 2021-02-02
dc.identifier.uri http://hdl.handle.net/11356/1391
dc.description This model for morphosyntactic annotation of standard Slovenian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the ssj500k training corpus (http://hdl.handle.net/11356/1210) and using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1204). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~97.06. The difference to the previous version of the model is that the pre-trained embeddings are limited to 250 thousand entries and adapted to the new code base.
dc.language.iso slv
dc.publisher Jožef Stefan Institute
dc.relation.isreferencedby https://www.aclweb.org/anthology/W19-3704/
dc.relation.replaces http://hdl.handle.net/11356/1312
dc.relation.isreplacedby http://hdl.handle.net/11356/1476
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-stanfordnlp
dc.subject part-of-speech tagging
dc.subject language model
dc.title The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.2
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
hidden hidden
has.files yes
branding CLARIN.SI data & tools
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 ARRS (Slovenian Research Agency) J7-8280 FRENK: Resources, methods, and tools for the understanding, identification, and classification of various forms of socially unacceptable discourse in the information society nationalFunds
sponsor ARRS (Slovenian Research Agency) N6-0099 LiLaH: Linguistic Landscape of Hate Speech nationalFunds
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files.size 228141200


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