The CLASSLA-StanfordNLP model for lemmatisation of non-standard Serbian 1.1

Name: The CLASSLA-StanfordNLP model for lemmatisation of non-standard Serbian 1.1
License: https://creativecommons.org/licenses/by-sa/4.0/

Ljubešić, Nikola; Štefanec, Vanja

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dc.contributor.author	Ljubešić, Nikola
dc.contributor.author	Štefanec, Vanja
dc.date.accessioned	2020-09-15T10:47:07Z
dc.date.available	2020-09-15T10:47:07Z
dc.date.issued	2020-09-15
dc.identifier.uri	http://hdl.handle.net/11356/1351
dc.description	The model for lemmatisation of non-standard Serbian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the SETimes.SR training corpus (http://hdl.handle.net/11356/1200), the ReLDI-NormTagNER-sr corpus (http://hdl.handle.net/11356/1240), the ReLDI-NormTagNER-hr corpus (http://hdl.handle.net/11356/1241), the hr500k training corpus (http://hdl.handle.net/11356/1183) and the RAPUT corpus (https://www.aclweb.org/anthology/L16-1513/), using the srLex inflectional lexicon (http://hdl.handle.net/11356/1233). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The estimated F1 of the lemma annotations is ~97.62. The difference to the previous version of the lemmatizer is that now it relies solely on XPOS annotations, and not on a combination of UPOS, FEATS (lexicon lookup) and XPOS (lemma prediction) annotations.
dc.language.iso	srp
dc.publisher	Jožef Stefan Institute
dc.relation.isreferencedby	http://dx.doi.org/10.18653/v1/W19-3704
dc.relation.replaces	http://hdl.handle.net/11356/1334
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	computer-mediated communication
dc.subject	language model
dc.title	The CLASSLA-StanfordNLP model for lemmatisation of non-standard Serbian 1.1
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
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) N6-0099 LiLaH: Linguistic Landscape of Hate Speech nationalFunds
sponsor	European Structural and Investment Funds RC.2.2.08-0050 Computer assistant for text input for persons with language impairment (RAPUT) Other
files.count	1
files.size	94423447