@inproceedings{98fe02d475b54260aeb6b5cfa9c8cf15,
title = "Building an Endangered Language Resource in the Classroom: Universal Dependencies for Kakataibo",
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.",
keywords = "Amazonia, Collaborative Methodology, Endangered Languages, Kakataibo, Panoan, Peru, Treebank, Universal Dependencies",
author = "Roberto Zariquiey and Claudia Alvarado and Ximena Echevarria and Luisa Gomez and Rosa Gonzales and Mariana Illescas and Sabina Oporto and Frederic Blum and Arturo Oncevay and Javier Vera",
note = "Publisher Copyright: {\textcopyright} European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.; 13th International Conference on Language Resources and Evaluation Conference, LREC 2022 ; Conference date: 20-06-2022 Through 25-06-2022",
year = "2022",
language = "English",
series = "2022 Language Resources and Evaluation Conference, LREC 2022",
publisher = "European Language Resources Association (ELRA)",
pages = "3840--3851",
editor = "Nicoletta Calzolari and Frederic Bechet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Helene Mazo and Jan Odijk and Stelios Piperidis",
booktitle = "2022 Language Resources and Evaluation Conference, LREC 2022",
}