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

  Authors

Terčon, Luka and Ljubešić, Nikola

  Item identifier

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

 Project URL

https://github.com/clarinsi/classla

 Referenced by

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

 Date issued

2023-05-10

 Type

toolService

 Language(s)

Serbian

 Description

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.

 Publisher

Jožef Stefan Institute

 Acknowledgement

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"

 Subject(s)

language model part-of-speech tagging

 Collection(s)

CLARIN.SI data & tools

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