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

  Avtorji

Terčon, Luka ; Ljubešić, Nikola and Štefanec, Vanja

  Identifikator vnosa

http://hdl.handle.net/11356/1828

 URL projekta

https://github.com/clarinsi/classla

 Dokumentirano v

http://dx.doi.org/10.18653/v1/W19-3704

 Datum objave

2023-05-10

 Vrsta

toolService

 Jezik(i)

Serbian

 Opis

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).

 Izdajatelj

Jožef Stefan Institute

 Zahvala

ARRS (Slovenian Research Agency) P6-0411 "Language Resources and Technologies for Slovene"

Jožef Stefan Institute CLARIN "CLARIN.SI"

ARRS (Slovenian Research Agency) J7-4642 "MEZZANINE"

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"

 Ključne besede

lemmatisation computer-mediated communication language model

 Zbirke

CLARIN.SI data & tools

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