The CLASSLA-Stanza model for UD dependency parsing of standard Bulgarian 2.1

Name: The CLASSLA-Stanza model for UD dependency parsing of standard Bulgarian 2.1
License: https://creativecommons.org/licenses/by-sa/4.0/

Terčon, Luka; Ljubešić, Nikola; Osenova, Petya; Simov, Kiril

Prikaži enostavni zapis vnosa

dc.contributor.author	Terčon, Luka
dc.contributor.author	Ljubešić, Nikola
dc.contributor.author	Osenova, Petya
dc.contributor.author	Simov, Kiril
dc.date.accessioned	2023-06-29T05:52:29Z
dc.date.available	2023-06-29T05:52:29Z
dc.date.issued	2023-06-27
dc.identifier.uri	http://hdl.handle.net/11356/1851
dc.description	The model for UD dependency parsing of standard Bulgarian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the UD-parsed portion of the BulTreeBank training corpus (https://clarino.uib.no/korpuskel/corpora) and using the CLARIN.SI-embed.bg word embeddings (http://hdl.handle.net/11356/1796). The estimated LAS of the parser is ~91.18. The difference to the previous version of the parser is that this version was trained using the new version of the Bulgarian word embeddings.
dc.language.iso	bul
dc.publisher	Jožef Stefan Institute
dc.publisher	IICT-BAS
dc.relation.isreferencedby	http://dx.doi.org/10.18653/v1/W19-3704
dc.relation.replaces	http://hdl.handle.net/11356/1328
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 UD dependency parsing of standard Bulgarian 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	Ministry of Education and Science Republic of Bulgaria DO01-272/16.12.2019 Bulgarian National Interdisciplinary Research e-Infrastructure for Resources and Technologies CLaDA-BG 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	199927180