# Challenges of language technologies for the indigenous languages of the Americas

arXiv: https://arxiv.org/abs/1806.04291 · HTML: https://mlsanity.com/paper/1806.04291/

## Key facts

- Cited by 29 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jun 2018.

## Built on by (most cited first, 29 of 29)

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- [Automatic Speech Recognition Advancements for Indigenous Languages of the Americas](https://mlsanity.com/paper/2404.08368/) (2024)
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- [Indigenous Languages Spoken in Argentina: A Survey of NLP and Speech Resources](https://mlsanity.com/paper/2501.09943/) (2025)
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- [Meenz bleibt Meenz, but Large Language Models Do Not Speak Its Dialect](https://mlsanity.com/paper/2602.16852/) (2026)
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## Abstract (arXiv)

Indigenous languages of the American continent are highly diverse. However, they have received little attention from the technological perspective. In this paper, we review the research, the digital resources and the available NLP systems that focus on these languages. We present the main challenges and research questions that arise when distant languages and low-resource scenarios are faced. We would like to encourage NLP research in linguistically rich and diverse areas like the Americas.