FST Morphology for the Endangered Skolt Sami Language
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Abstract (arXiv)
We present advances in the development of a FST-based morphological analyzer and generator for Skolt Sami. Like other minority Uralic languages, Skolt Sami exhibits a rich morphology, on the one hand, and there is little golden standard material for it, on the other. This makes NLP approaches for its study difficult without a solid morphological analysis. The language is severely endangered and the work presented in this paper forms a part of a greater whole in its revitalization efforts. Furthermore, we intersperse our description with facilitation and description practices not well documented in the infrastructure. Currently, the analyzer covers over 30,000 Skolt Sami words in 148 inflectional paradigms and over 12 derivational forms.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Apr 2020.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 3.
5 papers.
- 2021Endangered Languages are not Low-Resourced!cited by 14
- 2024Natural Language Processing RELIES on Linguisticscited by 9
- 2021When Word Embeddings Become Endangeredcited by 6
- 2024DAG: Dictionary-Augmented Generation for Disambiguation of Sentences in Endangered Uralic Languages using ChatGPTcited by 1
- 2024Leveraging Transformer-Based Models for Predicting Inflection Classes of Words in an Endangered Sami Languagecited by 0
- 2024Leveraging Transformer-Based Models for Predicting Inflection Classes of Words in an Endangered Sami Language4 Nov 2024
- 2024DAG: Dictionary-Augmented Generation for Disambiguation of Sentences in Endangered Uralic Languages using ChatGPT3 Nov 2024
- 2024Natural Language Processing RELIES on Linguistics9 May 2024
- 2021When Word Embeddings Become Endangered24 Mar 2021
- 2021Endangered Languages are not Low-Resourced!17 Mar 2021