dc.contributor.author | Ljubešić, Nikola |
dc.contributor.author | Krsnik, Luka |
dc.date.accessioned | 2022-01-07T11:53:30Z |
dc.date.available | 2022-01-07T11:53:30Z |
dc.date.issued | 2022-01-07 |
dc.identifier.uri | http://hdl.handle.net/11356/1476 |
dc.description | This model for morphosyntactic annotation of standard Slovenian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the ssj500k training corpus (http://hdl.handle.net/11356/1210) and using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1204). The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~97.06. The difference to the previous version of the model is that the model now also includes the Sloleks inflectional lexicon. |
dc.language.iso | slv |
dc.publisher | Jožef Stefan Institute |
dc.relation.isreferencedby | https://www.aclweb.org/anthology/W19-3704/ |
dc.relation.replaces | http://hdl.handle.net/11356/1391 |
dc.relation.isreplacedby | http://hdl.handle.net/11356/1767 |
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 |
dc.subject | part-of-speech tagging |
dc.subject | language model |
dc.title | The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3 |
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 | 328539730 |
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- Name
- ssj500k.pretrain.pt.zip
- Size
- 105.21 MB
- Format
- application/zip
- Description
- Pretrained word embeddings
- MD5
- b08322bd6c7e3dfecdecc1a3293506ad

- Name
- ssj500k.zip
- Size
- 208.11 MB
- Format
- application/zip
- Description
- Language model
- MD5
- 29d0b623d4b6914bf5bdd2a844d9665f