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dc.contributor.author Ljubešić, Nikola
dc.date.accessioned 2020-09-11T11:50:00Z
dc.date.available 2020-09-11T11:50:00Z
dc.date.issued 2020-09-11
dc.identifier.uri http://hdl.handle.net/11356/1348
dc.description The model for morphosyntactic annotation of standard Croatian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the hr500k training corpus (http://hdl.handle.net/11356/1183) and using the CLARIN.SI-embed.hr word embeddings (http://hdl.handle.net/11356/1205). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~94.1. The difference to the previous version of the model is that now the whole XPOS tag is predicted and not specific characters, as was the case in stanfordnlp, which resulted in illegal XPOS tags (and slightly decreased performance).
dc.language.iso hrv
dc.publisher Jožef Stefan Institute
dc.relation.isreferencedby http://dx.doi.org/10.18653/v1/W19-3704
dc.relation.replaces http://hdl.handle.net/11356/1252
dc.relation.isreplacedby http://hdl.handle.net/11356/1393
dc.rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.label PUB
dc.source.uri https://github.com/clarinsi/classla-stanfordnlp
dc.subject language model
dc.subject part-of-speech tagging
dc.title The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Croatian 1.1
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
hidden hidden
has.files yes
branding CLARIN.SI data & tools
contact.person Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute
sponsor ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds
sponsor ARRS (Slovenian Research Agency) J7-8280 FRENK: Resources, methods, and tools for the understanding, identification, and classification of various forms of socially unacceptable discourse in the information society nationalFunds
sponsor ARRS (Slovenian Research Agency) N6-0099 LiLaH: Linguistic Landscape of Hate Speech nationalFunds
files.count 2
files.size 854266899


 Datoteke v tem vnosu

 Prenesi vse datoteke v vnosu (814.69 MB)
Icon
Ime
hr500k
Velikost
78.41 MB
Format
Neznano
Opis
Language model
MD5
61e7e97c217ff5063eebaf7cb0b6b86d
 Prenesi datoteko
Icon
Ime
hr500k.pretrain.pt.zip
Velikost
736.28 MB
Format
application/zip
Opis
Pretrained word embeddings
MD5
72bb027749ddd63d1b59c5b1951215f7
 Prenesi datoteko  Predogled
 Predogled datoteke  
    • hr500k.pretrain.pt1 GB

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