The CLASSLA-Stanza model for morphosyntactic annotation of standard Slovenian 2.0

Name: The CLASSLA-Stanza model for morphosyntactic annotation of standard Slovenian 2.0
License: https://creativecommons.org/licenses/by-sa/4.0/

Ljubešić, Nikola; Terčon, Luka; Čibej, Jaka

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dc.contributor.author	Ljubešić, Nikola
dc.contributor.author	Terčon, Luka
dc.contributor.author	Čibej, Jaka
dc.date.accessioned	2023-02-03T16:55:03Z
dc.date.available	2023-02-03T16:55:03Z
dc.date.issued	2023-01-31
dc.identifier.uri	http://hdl.handle.net/11356/1767
dc.description	This model for morphosyntactic annotation 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) 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 ~98.27. The difference to the previous version of the model is that the model was trained using the SUK training corpus and uses new embeddings and the new version of the Slovene morphological lexicon Sloleks 3.0 (http://hdl.handle.net/11356/1745).
dc.language.iso	slv
dc.publisher	Jožef Stefan Institute
dc.relation.isreferencedby	https://aclanthology.org/W19-3704/
dc.relation.replaces	http://hdl.handle.net/11356/1476
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
dc.subject	part-of-speech tagging
dc.subject	language model
dc.title	The CLASSLA-Stanza model for morphosyntactic annotation 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	534642041