The CLASSLA-Stanza model for lemmatisation of non-standard Serbian 2.1

PID

The model for lemmatisation of non-standard Serbian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SETimes.SR training corpus (http://hdl.handle.net/11356/1200) and the ReLDI-NormTagNER-sr corpus (http://hdl.handle.net/11356/1794), 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 ~94.92.

The difference to the previous version of the model is that this version is trained on a combination of two corpora (SETimes.SR, ReLDI-NormTagNER-sr).

Identifier
PID http://hdl.handle.net/11356/1828
Related Identifier http://dx.doi.org/10.18653/v1/W19-3704
Related Identifier http://hdl.handle.net/11356/1334
Related Identifier https://github.com/clarinsi/classla
Metadata Access http://www.clarin.si/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:www.clarin.si:11356/1828
Provenance
Creator Terčon, Luka; Ljubešić, Nikola; Štefanec, Vanja
Publisher Jožef Stefan Institute
Publication Year 2023
Rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0); https://creativecommons.org/licenses/by-sa/4.0/; PUB
OpenAccess true
Contact info(at)clarin.si
Representation
Language Serbian
Resource Type toolService
Format text/plain; charset=utf-8; application/zip; downloadable_files_count: 1
Discipline Linguistics