Data · dataset · 2024
Lemmatization model: Stanza
Listed in Researchdata.se and Swedish National Data Service — shown once because both records carry DOI 10.23695/681b-be74
Models We provide a model that enables lemmatization of Swedish text following the SUC3 standard.
Description
Note that SUC3 lemmatization does not exactly match the SALDO standard that is used in our Korp resources. SUC3 was randomly split into training, validation and test sets (80:10:10).
The model was trained for 30 epochs using the default Stanza settings. The accuracy on the test set is 99.18.
Links
Where it is published
- DOI doi.org/10.23695/681b-be74 ↗
DOI / persistent id · from researchdata se
Catalogue records · 2
- OAI-PMH record api.researchdata.se/oai-pmh?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3A… ↗
metadata API · from researchdata se
- OAI-PMH record snd.se/oai-pmh?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3A… ↗
metadata API · from snd se
Topics
- From keywords
- Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Humanities · Humanities · Natural language processing · Natural language processing
- Inferred from text
- Text 75%
Provenance · 2 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Researchdata.se | oai:researchdata.se:doi-10-23695-681b-be74/0 | 13 d ago | JSON v1 |
| Swedish National Data Service | oai:researchdata.se:doi-10-23695-681b-be74/0 | 2 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].anzsrc:field:460208 | mapping · snd se | vocabulary-mapper@1.0.0 | keywords['Natural Language Processing'] |
| concepts[field].anzsrc:field:460208 | mapping · researchdata se | vocabulary-mapper@1.0.0 | keywords['Natural Language Processing'] |
| concepts[field].local:field:computer-science-ai | mapping · snd se | connector:snd_se@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · snd se | connector:snd_se@1.0.0 | |
| concepts[field].local:field:humanities | mapping · snd se | connector:snd_se@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · researchdata se | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/description |
| license | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata se | connector:researchdata_se@1.0.0 | |
| title | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/title |