SweLL-gold
type: Dataset
distribution: Landing page for the dataset
description: SweLL-gold corpus is a corpus of essays written by adult learners of Swedish. It was collected during the period of 2017-2020 in the SweLL project, and contains 502 essays that have been pseudonymized, normalized and correction annotated. Two SweLL-gold versions -- original and corrected The corpus consists of two versions that are parallel in nature, the original learner-written texts, SweLL-gold-original and corrected versions of these, SweLL-gold-target. Statistics is slightly different between these two versions due to the introduced corrections, which is why we offer download of the statistics separately for SweLL-gold-original and SweLL-gold-target. To get access to SweLL-gold full texts, fill in an Application for Acess (see under Links). Links SweLL-gold ReadMe About the SweLL project Application for access Cite as {publication 285609}
modified: 2025-01-01T00:00:00Z
issued: 2025-01-01T00:00:00Z
publisher: University of Gothenburg
theme: EDUC
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Volodina, Elena
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Granstedt, Lena
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Megyesi, Beáta
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Prentice, Julia
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Rudebeck, Lisa
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Sundberg, Gunlög
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Wirén, Mats
    type: Agent
    type: PrivateIndividual(s)
keyword: Language Technology (Computational Linguistics)
keyword: L2 Swedish
keyword: second language (L2)
keyword: language learning
keyword: essays
keyword: corpus
language: SWE

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: SweLL-gold
availability: stable

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