Papers by Virginija Juozapaityte

1 papers
Slot and Intent Detection Resources for Bavarian and Lithuanian: Assessing Translations vs Natural Queries to Digital Assistants (2024.lrec-main)

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Challenge: xSID datasets for low-resource languages like English are lacking in translations of high-ressource languages . however, many native speakers of such languages may want to use virtual assistants in their mother tongue .
Approach: They extend a dataset to include two underrepresented languages: Bavarian and Lithuanian . they provide "natural" queries to digital assistants generated by native speakers .
Outcome: The proposed dataset includes two underrepresented languages: Bavarian and Lithuanian . the results show that translated data can produce overly optimistic scores .

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