The CLASSLA-Stanza model for morphosyntactic annotation of standard Serbian 2.1

Name: The CLASSLA-Stanza model for morphosyntactic annotation of standard Serbian 2.1
License: https://creativecommons.org/licenses/by-sa/4.0/

Terčon, Luka; Ljubešić, Nikola

The CLASSLA-Stanza model for morphosyntactic annotation of standard Serbian 2.1

CLARIN.SI data & tools

Avtorji: Terčon, Luka and Ljubešić, Nikola

Identifikator vnosa: http://hdl.handle.net/11356/1831

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 morphosyntactic annotation of 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) combined with the Croatian hr500k training dataset (http://hdl.handle.net/11356/1792) to ensure sufficient representation of certain labels. The CLARIN.SI-embed.sr word embeddings (http://hdl.handle.net/11356/1789) were used during training. The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~96.19. The difference to the previous version of the model is that this version was trained on the SETimes.SR corpus expanded with the Croatian hr500k training dataset to ensure sufficient representation of certain labels. it was also trained using the new version of Serbian word embeddings.