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Ossetic-COT: Designing a morphologically annotated corpus and morphological analyzer for Ossetic

arXiv 2607.04895 ↗First posted 6 Jul 2026cs.CLcited by 0

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Abstract (arXiv)

In this work we present the first morphologically annotated corpus for Iron Ossetic that conforms to the Universal Dependencies schema. The corpus includes 5454 manually annotated sentences from the Iron Ossetic Corpus of Oral Texts, containing 74032 tokens. We use this corpus to train a BERT-based morphological analyzer. The analyzer achieves tag accuracy of 95.60%.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 18 references that are in the map. First posted on arXiv 6 Jul 2026.

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References · 5

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Universal Dependencies v2: An Evergrowing Multilingual Treebank Collectioncited by 269
  3. 2019Adaptation of Deep Bidirectional Multilingual Transformers for Russian Languagecited by 109
  4. 201975 Languages, 1 Model: Parsing Universal Dependencies Universallycited by 90
  5. 2019UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Mergingcited by 15

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