| dc.contributor.author | Terčon, Luka |
| dc.contributor.author | Ljubešić, Nikola |
| dc.date.accessioned | 2023-04-14T07:22:10Z |
| dc.date.available | 2023-04-14T07:22:10Z |
| dc.date.issued | 2023-04-11 |
| dc.identifier.uri | http://hdl.handle.net/11356/1789 |
| dc.description | CLARIN.SI-embed.sr contains word embeddings induced from the srWaC and MaCoCu-sr web corpora. The embeddings are based on the skip-gram model of fastText trained on 3,434,602,575 tokens of running text for 2,676,036 lowercased surface forms. The difference to the previous version of the embeddings is that this version was trained on the original dataset expanded with the MaCoCu-sr web crawl corpus. |
| dc.language.iso | srp |
| dc.publisher | Jožef Stefan Institute |
| dc.relation.replaces | http://hdl.handle.net/11356/1206 |
| 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.subject | word embeddings |
| dc.title | Word embeddings CLARIN.SI-embed.sr 2.0 |
| dc.type | lexicalConceptualResource |
| metashare.ResourceInfo#ContentInfo.detailedType | computationalLexicon |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| has.files | yes |
| branding | CLARIN.SI data & tools |
| contact.person | Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute |
| contact.person | Luka Terčon luka.tercon@gmail.com Faculty of Computer and Information Science, University of Ljubljana |
| sponsor | Jožef Stefan Institute CLARIN CLARIN.SI nationalFunds |
| sponsor | ARRS (Slovenian Research Agency) J7-4642 MEZZANINE nationalFunds |
| sponsor | 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 Other |
| sponsor | ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds |
| size.info | 2676036 entries |
| files.count | 2 |
| files.size | 3666586587 |
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- Name
- all-token-sr-prelim.ft.sg.vec.zip
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- 863.17 MB
- Format
- application/zip
- Description
- Token embeddings, text format
- MD5
- 86b6c77d69dd999bfba4719caf788caa
- Name
- all-token-sr-prelim.ft.sg.bin.zip
- Size
- 2.57 GB
- Format
- application/zip
- Description
- Token embeddings, binary
- MD5
- b969c42fa9ca36abdd8d884c3fe4f38d