mlsanityData to 14 Oct 2026

DAG: Dictionary-Augmented Generation for Disambiguation of Sentences in Endangered Uralic Languages using ChatGPT

arXiv 2411.01531 ↗First posted 3 Nov 2024cs.CLcited by 1

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Abstract (arXiv)

We showcase that ChatGPT can be used to disambiguate lemmas in two endangered languages ChatGPT is not proficient in, namely Erzya and Skolt Sami. We augment our prompt by providing dictionary translations of the candidate lemmas to a majority language - Finnish in our case. This dictionary augmented generation approach results in 50% accuracy for Skolt Sami and 41% accuracy for Erzya. On a closer inspection, many of the error types were of the kind even an untrained human annotator would make.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 13 references that are in the map. First posted on arXiv 3 Nov 2024.

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2 of 13 references.

References · 2

  1. 2021Endangered Languages are not Low-Resourced!cited by 14
  2. 2020FST Morphology for the Endangered Skolt Sami Languagecited by 5

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  1. 2025Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Datacited by 0