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

arXiv: https://arxiv.org/abs/2206.10343 · HTML: https://mlsanity.com/paper/2206.10343/

## 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 (most cited first, 5 of 5)

- [Deep Biaffine Attention for Neural Dependency Parsing](https://mlsanity.com/paper/1611.01734/) (2016)
- [Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection](https://mlsanity.com/paper/2004.10643/) (2020)
- [Efficient Second-Order TreeCRF for Neural Dependency Parsing](https://mlsanity.com/paper/2005.00975/) (2020)
- [Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunities](https://mlsanity.com/paper/2105.00895/) (2021)
- [Applied Language Technology: NLP for the Humanities](https://mlsanity.com/paper/2105.01052/) (2021)

## Built on by (most cited first, 2 of 2)

- [Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language](https://mlsanity.com/paper/2306.14866/) (2023)
- [NLP Progress in Indigenous Latin American Languages](https://mlsanity.com/paper/2404.05365/) (2024)

## 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.