# Endangered Languages are not Low-Resourced!

arXiv: https://arxiv.org/abs/2103.09567 · HTML: https://mlsanity.com/paper/2103.09567/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 36 references that are in the map.
- First posted on arXiv 17 Mar 2021.

## Builds on (most cited first, 6 of 6)

- [The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT](https://mlsanity.com/paper/2010.06354/) (2020)
- [Universal Neural Machine Translation for Extremely Low Resource Languages](https://mlsanity.com/paper/1802.05368/) (2018)
- [DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language](https://mlsanity.com/paper/2012.14353/) (2020)
- [FST Morphology for the Endangered Skolt Sami Language](https://mlsanity.com/paper/2004.04803/) (2020)
- [Ve'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement](https://mlsanity.com/paper/2012.02578/) (2020)
- [Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network](https://mlsanity.com/paper/1702.04488/) (2017)

## Built on by (most cited first, 14 of 14)

- [Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](https://mlsanity.com/paper/2402.07827/) (2024)
- [Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers](https://mlsanity.com/paper/2305.19474/) (2023)
- [Computational historical linguistics and language diversity in South Asia](https://mlsanity.com/paper/2203.12524/) (2022)
- [Detecting Depression in Thai Blog Posts: a Dataset and a Baseline](https://mlsanity.com/paper/2111.04574/) (2021)
- [Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered](https://mlsanity.com/paper/2105.12428/) (2021)
- [The Current State of Finnish NLP](https://mlsanity.com/paper/2109.11326/) (2021)
- [Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline](https://mlsanity.com/paper/2106.03389/) (2021)
- [Apurin~a Universal Dependencies Treebank](https://mlsanity.com/paper/2106.03391/) (2021)
- [High-Resource Methodological Bias in Low-Resource Investigations](https://mlsanity.com/paper/2211.07534/) (2022)
- [Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages](https://mlsanity.com/paper/2305.15380/) (2023)
- [DAG: Dictionary-Augmented Generation for Disambiguation of Sentences in Endangered Uralic Languages using ChatGPT](https://mlsanity.com/paper/2411.01531/) (2024)
- [A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework](https://mlsanity.com/paper/2107.10637/) (2021)
- [Subword-Based Comparative Linguistics across 242 Languages Using Wikipedia Glottosets](https://mlsanity.com/paper/2601.18791/) (2026)
- [Cultural Awareness is Represented but Not Decoded: Tracing Mythological Knowledge across 18 Open-Source LLMs](https://mlsanity.com/paper/2608.02486/) (2026)

## Abstract (arXiv)

The term low-resourced has been tossed around in the field of natural language processing to a degree that almost any language that is not English can be called "low-resourced"; sometimes even just for the sake of making a mundane or mediocre paper appear more interesting and insightful. In a field where English is a synonym for language and low-resourced is a synonym for anything not English, calling endangered languages low-resourced is a bit of an overstatement. In this paper, I inspect the relation of the endangered with the low-resourced from my own experiences.