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Conference Report

Building an endangered language resource in the classroom: Universal dependencies for Kakataibo

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Blum,  Frederic       
Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Zariqiey_Building_LREC2022.pdf
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Citation

Zariquiey, R., Alvarado, C., Echevarria, X., Gomez, L., Gonzales, R., Illescas, M., et al. (2022). Building an endangered language resource in the classroom: Universal dependencies for Kakataibo. In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) (pp. 3840-3851). European Language Resources Association.


Cite as: https://hdl.handle.net/21.11116/0000-000A-A2BF-8
Abstract
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