Lemmatization model: Stanza
type: Dataset
description: Models We provide a model that enables lemmatization of Swedish text following the SUC3 standard. 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.
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Språkbanken Text
date modified: 2020-11-19
date published: 2024-01-01
language: Swedish
keywords: Natural Language Processing
  type: DefinedTerm
  term code: 10208
keywords: Language Technology (Computational Linguistics)
keywords: model
license: https://creativecommons.org/licenses/by/4.0/
publisher: University of Gothenburg
version: 0

PropertyValue
property ID: DOI
value: 10.23695/681B-BE74

PropertyValue
property ID: slug
value: stanza_lem

Språkbanken Text
type: Organization

Swedish
type: Language
alternate name: swe

University of Gothenburg
type: Organization