# A Resource for Computational Experiments on Mapudungun

arXiv: https://arxiv.org/abs/1912.01772 · HTML: https://mlsanity.com/paper/1912.01772/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Dec 2019.

## Built on by (most cited first, 4 of 4)

- [Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition](https://mlsanity.com/paper/2207.05498/) (2022)
- [NLP Progress in Indigenous Latin American Languages](https://mlsanity.com/paper/2404.05365/) (2024)
- [Educational Tools for Mapuzugun](https://mlsanity.com/paper/2205.10411/) (2022)
- [Indigenous Languages Spoken in Argentina: A Survey of NLP and Speech Resources](https://mlsanity.com/paper/2501.09943/) (2025)

## Abstract (arXiv)

We present a resource for computational experiments on Mapudungun, a polysynthetic indigenous language spoken in Chile with upwards of 200 thousand speakers. We provide 142 hours of culturally significant conversations in the domain of medical treatment. The conversations are fully transcribed and translated into Spanish. The transcriptions also include annotations for code-switching and non-standard pronunciations. We also provide baseline results on three core NLP tasks: speech recognition, speech synthesis, and machine translation between Spanish and Mapudungun. We further explore other applications for which the corpus will be suitable, including the study of code-switching, historical orthography change, linguistic structure, and sociological and anthropological studies.