mlsanityData to 14 Oct 2026

Building an Endangered Language Resource in the Classroom: Universal Dependencies for Kakataibo

arXiv 2206.10343 ↗First posted 21 Jun 2022cs.CLcited by 2

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Abstract (arXiv)

In this paper, we launch a new Universal Dependencies treebank for an endangered language from Amazonia: Kakataibo, a Panoan language spoken in Peru. We first discuss the collaborative methodology implemented, which proved effective to create a treebank in the context of a Computational Linguistic course for undergraduates. Then, we describe the general details of the treebank and the language-specific considerations implemented for the proposed annotation. We finally conduct some experiments on part-of-speech tagging and syntactic dependency parsing. We focus on monolingual and transfer learning settings, where we study the impact of a Shipibo-Konibo treebank, another Panoan language resource.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 5 of its 32 references that are in the map. First posted on arXiv 21 Jun 2022.

Builds on

5 of 32 references.

References · 5

  1. 2016Deep Biaffine Attention for Neural Dependency Parsingcited by 334
  2. 2020Universal Dependencies v2: An Evergrowing Multilingual Treebank Collectioncited by 271
  3. 2020Efficient Second-Order TreeCRF for Neural Dependency Parsingcited by 48
  4. 2021Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunitiescited by 1
  5. 2021Applied Language Technology: NLP for the Humanitiescited by 1

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Citing papers per year: 2023: 1; 2024: 1.

2 papers.