Findings of the AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages

Luis Chiruzzo, Pavel Denisov, Alejandro Molina Villegas, Silvia Fernández-Sabido, Rolando Coto-Solano, Marvin Agüero-Torales, Aldo Alvarez, Samuel Canul-Yah, Sary Lorena Hau-Ucán, Abteen Ebrahimi, Robert Pugh, Arturo Oncevay, Shruti Rijhwani, Katharina Von Der Wense, Manuel Mager
June 2024
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Abstract

This paper presents the results of the first shared task about the creation of educational materials for three indigenous languages of the Americas. The task proposes to automatically generate variations of sentences according to linguistic features that could be used for grammar exercises. The languages involved in this task are Bribri, Maya, and Guarani. Seven teams took part in the challenge, submitting a total of 22 systems, obtaining very promising results.

Type
Conference paper
Publication
Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024), pages 224–235, Mexico City, Mexico. Association for Computational Linguistics
Yucatec Maya Indigenous Languages Educational Materials Shared Task
Alejandro Molina Villegas
Alejandro Molina Villegas
Languages, Territory and AI Group Lead

Cátedras Conacyt researcher at the Centro de Investigación en Ciencias de Información Geoespacial (CentroGeo), Yucatán. His research lines include natural language processing, data mining, geoparsing, machine learning, and technologies for the Maya language.