The CLASSLA-Stanza model for morphosyntactic annotation of standard Macedonian 2.1

Name: The CLASSLA-Stanza model for morphosyntactic annotation of standard Macedonian 2.1
License: https://creativecommons.org/licenses/by-sa/4.0/

Terčon, Luka; Ljubešić, Nikola; Zdravkova, Katerina; Stojanoska, Sanja; Erjavec, Tomaž

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dc.contributor.author	Terčon, Luka
dc.contributor.author	Ljubešić, Nikola
dc.contributor.author	Zdravkova, Katerina
dc.contributor.author	Stojanoska, Sanja
dc.contributor.author	Erjavec, Tomaž
dc.date.accessioned	2023-06-28T14:34:07Z
dc.date.available	2023-06-28T14:34:07Z
dc.date.issued	2023-06-27
dc.identifier.uri	http://hdl.handle.net/11356/1847
dc.description	This model for morphosyntactic annotation of standard Macedonian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the 1984 training corpus expanded with the Macedonian SETimes corpus (to be published) and using the Macedonian CLARIN.SI word embeddings (http://hdl.handle.net/11356/1788). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~97.14. The difference from the previous version is that this version was trained using a larger training dataset and the new version of the Macedonian word embeddings.
dc.language.iso	mkd
dc.publisher	Jožef Stefan Institute
dc.relation.isreferencedby	http://dx.doi.org/10.18653/v1/W19-3704
dc.relation.replaces	http://hdl.handle.net/11356/1373
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 Macedonian 2.1
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	Jožef Stefan Institute CLARIN CLARIN.SI nationalFunds
sponsor	ARRS (Slovenian Research Agency) J7-4642 MEZZANINE nationalFunds
sponsor	Connecting Europe Facility (CEF) Telecom INEA/CEF/ICT/A2020/2278341 MaCoCu - Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages Other
files.count	2
files.size	154317489