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Generation of Synthetic Error Data of Verb Order Errors for Swedish

Casademont Moner, Judit (author)
Volodina, Elena, 1973 (author)
Gothenburg University,Göteborgs universitet,Institutionen för svenska, flerspråkighet och språkteknologi,Department of Swedish, Multilingualism, Language Technology
 (creator_code:org_t)
Seattle, Washington : Association for Computational Linguistics, 2022
2022
English.
In: NAACL workshop on Innovative Use of NLP for Building Educational Applications, July 15, 2022, Seattle, Washington. - Seattle, Washington : Association for Computational Linguistics. - 9781955917834
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • We report on our work-in-progress to generate a synthetic error dataset for Swedish by replicating errors observed in the authentic error annotated dataset. We analyze a small subset of authentic errors, capture regular patterns based on parts of speech, and design a set of rules to corrupt new data. We explore the approach and identify its capabilities, advantages and limitations as a way to enrich the existing collection of error-annotated data. This work focuses on word order errors, specifically those involving the placement of finite verbs in a sentence.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Language Technology (hsv//eng)
HUMANIORA  -- Språk och litteratur -- Jämförande språkvetenskap och allmän lingvistik (hsv//swe)
HUMANITIES  -- Languages and Literature -- General Language Studies and Linguistics (hsv//eng)

Keyword

Swedish as a second language
automatic language analysis
synthetic data generation
error correction
error detevtion

Publication and Content Type

ref (subject category)
kon (subject category)

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