The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.3

Name: The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.3
License: https://creativecommons.org/licenses/by-sa/4.0/

Ljubešić, Nikola; Krsnik, Luka

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dc.contributor.author	Ljubešić, Nikola
dc.contributor.author	Krsnik, Luka
dc.date.accessioned	2021-03-03T12:42:04Z
dc.date.available	2021-03-03T12:42:04Z
dc.date.issued	2021-03-02
dc.identifier.uri	http://hdl.handle.net/11356/1412
dc.description	The model for lemmatisation 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 Sloleks inflectional lexicon (http://hdl.handle.net/11356/1230). The estimated F1 of the lemma annotations is ~99.7. The difference to the previous version is that the internal lexicon is built on the lexicon training data only, and not on the (automatically XPOS-annoteted) corpus data.
dc.language.iso	slv
dc.publisher	Jožef Stefan Institute
dc.relation.isreferencedby	http://dx.doi.org/10.18653/v1/W19-3704
dc.relation.replaces	http://hdl.handle.net/11356/1354
dc.relation.isreplacedby	http://hdl.handle.net/11356/1478
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	lemmatisation
dc.subject	language model
dc.title	The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.3
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
sponsor	European Union’s Rights,Equality and Citizenship Programme 875263 IMSyPP - Innovative Monitoring Systems and PreventionPolicies of Online Hate Speech Other
files.count	1
files.size	38842562