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	title        = {Generation of Synthetic Error Data of Verb Order Errors for Swedish},
	abstract     = {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.},
	booktitle    = {NAACL workshop on Innovative Use of NLP for Building Educational Applications, July 15, 2022, Seattle, Washington},
	author       = {Casademont Moner, Judit  and Volodina, Elena},
	year         = {2022},
	publisher    = {Association for Computational Linguistics},
	address      = {Seattle, Washington},
	ISBN         = {978-1-955917-83-4},