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SweLL

Standard reference Information

Elena Volodina (2024): On two SweLL learner corpora – SweLL-pilot and SweLL-gold, in Proceedings of the Huminfra Conference (HiC 2024), pages 83-94 BibTeX

Data citation Information

Språkbanken Text (2025). SweLL (updated: 2025-01-19). [Data set]. Språkbanken Text. https://doi.org/10.23695/b4wj-b251
BibTeX Additional ways to cite the dataset.
SweLL -- Swedish Learner Language -- is a collection of SweLL corpora and derivative resources coming from these corpora. SweLL corpora consisf of learner texts written by learners with other mother tongues than Swedish. All texts have been collected in test situations (none of them coming from home-written tasks).

Included resources

  • SweLL-gold is a second language learner corpus, featuring pseudonymization, normalization and correction-annotation
  • SweLL-pilot is a second language learner corpus, featuring CEFR labeling
  • DaLAJ resources are a collection of sentence pairs (original - corrected) containing one error each
  • MultiGED -- Multilingual Grammatical Error Detection - is a dataset for grammamatical error detection, featuring five languages (Czech, German, English, Italian, Swedish). The data is organized by sentences, where each token has an annotation whether it is correct or incorrect (c or i). The corrected version is not provided. MultiGED has been used for a shared task (https://spraakbanken.github.io/multiged-2023/)
  • MuClaGED -- Multi-Class Grammatical Error Detection - is a dataset for Swedish only, organized by sentences, each incorrect token associated with the type of correction (Orthography, Syntax, Morphology, etc.) and the type of edit (Addition, Deletion, Replacement)
  • MultiGED -- Multilingual Grammatical Error Correction is a dataset for grammamatical error detection, featuring twelve languages (Czech, English, Estonian, German, Greek, Icelandic, Italian, Latvian, Russian, Slovene, Swedish and Ukrainian). The data is organized by essay pairs (original - corrected). MultiGEC has been used for a shared task (https://spraakbanken.github.io/multigec-2025/)

Intended uses

Research, development and pedagogical applications within second language acquisition and intelligent computer-assisted language learning

References

Datasets in this collection

Type

  • Corpus
  • Collection

Language

Swedish
Multiple languages

Size

Resources: 9

Keywords

  • L2 Swedish
  • second language
  • language learning
  • essays
  • Swedish learner language

Updated

2025-01-19

Contact

Språkbanken
sb-info@svenska.gu.se