dc.contributor.author | Ljubešić, Nikola |
dc.date.accessioned | 2019-10-11T15:47:32Z |
dc.date.available | 2019-10-11T15:47:32Z |
dc.date.issued | 2019-10-11 |
dc.identifier.uri | http://hdl.handle.net/11356/1260 |
dc.description | The model for UD dependency parsing of standard Serbian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the SETimes.SR training corpus (http://hdl.handle.net/11356/1200) and using the CLARIN.SI-embed.sr word embeddings (http://hdl.handle.net/11356/1206). The estimated LAS of the parser is ~89.0. |
dc.language.iso | srp |
dc.publisher | Jožef Stefan Institute |
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 | parsing |
dc.subject | language model |
dc.title | The CLASSLA-StanfordNLP model for UD dependency parsing of standard Serbian |
dc.type | toolService |
metashare.ResourceInfo#ContentInfo.detailedType | tool |
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent | true |
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 | 654307902 |
Datoteke v tem vnosu
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Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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- Ime
- SETimes.SR_ud
- Velikost
- 93.19 MB
- Format
- Neznano
- Opis
- Language model
- MD5
- 631f720314f48e9b4ac9d6e7307577f3

- Ime
- SETimes.SR_ud.pretrain.pt
- Velikost
- 530.8 MB
- Format
- Neznano
- Opis
- Pretrained word embeddings
- MD5
- eb73d1c9629debd8a9d1525a0a99b314