Lemmatization model: Stanza
type: Dataset
distribution: Landing page for the dataset
title: Lemmatiseringsmodell: Stanza @sv
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.
modified: 2020-11-19T00:00:00Z
issued: 2024-01-01T00:00:00Z
publisher: University of Gothenburg
qualified attribution: Attribution
  had role: author
  agent: Språkbanken Text
    type: Agent
    type: Academia-ScientificOrganisation
keyword: Language Technology (Computational Linguistics)
keyword: model
language: SWE

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: Lemmatization model: Stanza
availability: stable

University of Gothenburg
type: Agent
name: Göteborgs universitet @sv
type: Academia-ScientificOrganisation
source: 01tm6cn81