2026-06-17T13:16:01Zhttp://www.clarin.si/repository/oai/request

oai:www.clarin.si:11356/18282023-05-16T07:05:42Zhdl_11356_1023hdl_11356_1024

The CLASSLA-Stanza model for lemmatisation of non-standard Serbian 2.1 Terčon, Luka Ljubešić, Nikola Štefanec, Vanja lemmatisation computer-mediated communication language model 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). 2023-05-10 toolService http://hdl.handle.net/11356/1828 srp http://dx.doi.org/10.18653/v1/W19-3704 http://hdl.handle.net/11356/1334 Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) https://creativecommons.org/licenses/by-sa/4.0/ PUB text/plain; charset=utf-8 application/zip downloadable_files_count: 1 Jožef Stefan Institute https://github.com/clarinsi/classla