---
title: "Designing Speech Technologies for Australian Aboriginal English:"
description: "The paper first describes the variety's distinctive sounds, grammar, vocabulary and conversational… 147 references, cited by 2 papers here."
authors: ["Ben Hutchinson", "Celeste Rodriguez Louro", "Glenys Collard", "Ned Cooper"]
year: 2025
venue: "arXiv:2503.03186"
source: "https://arxiv.org/abs/2503.03186"
doi: "10.48550/arxiv.2503.03186"
arxiv: "2503.03186"
licence: "CC BY 4.0 (arXiv)"
licence_url: "http://creativecommons.org/licenses/by/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/hutchinson-2025-designing-speech-technologies-australian-aboriginal/"
---
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# Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation

**Authors:** [Ben Hutchinson](https://md.research.elamur.ai/free/en/authors/ben-hutchinson/), Celeste Rodriguez Louro, Glenys Collard and Ned Cooper · **Year:** 2025 · **Venue:** [arXiv:2503.03186](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/) ([FAccT 2025](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2025/)) · **Licence:** [CC BY 4.0 (arXiv)](http://creativecommons.org/licenses/by/4.0/)

**Links:** [Publisher's page](https://arxiv.org/abs/2503.03186) · [PDF](https://arxiv.org/pdf/2503.03186) · [DOI 10.48550/arxiv.2503.03186](https://doi.org/10.48550/arxiv.2503.03186) · [arXiv 2503.03186](https://arxiv.org/abs/2503.03186) · [OpenAlex](https://openalex.org/W4411550416)

**Citations:** 4 citations (OpenAlex, 2026-10-14) · 2 in our library, of the 149,439 papers whose bibliographies we read

## Summary
Mainstream speech and language tools rarely serve contact varieties used by Indigenous Australians, most of whom now speak Australian Aboriginal English rather than an ancestral language. The authors ask three questions: whether speech technology can help these speakers, what harms such work could cause, and which development practices suit this setting. To address them, they examine a project still in progress, involving Google Research and Australian universities, that aims to improve automatic speech recognition (ASR) for the variety.

The paper first describes the variety's distinctive sounds, grammar, vocabulary and conversational norms. It then weighs deployment and process risks against benefits. Finally, it documents design decisions on requirements, data elicitation, transcription, evaluation, community participation and paid employment.

The authors conclude that real opportunities exist, both for civic and economic inclusion and for recognising contemporary Indigenous identity. These benefits depend on the work being participatory and culturally safe. The paper presents itself as the first to focus on technology for this community, and its methods may transfer to other minoritised dialects.

## Key points
- Published at FAccT '25. The authors describe it as the first paper centred on language technology for Australian Aboriginal English speakers, using ASR as the case study.
- More than 400 ancestral languages existed before colonisation, and most are now extinct or critically endangered. As a result, Aboriginal English has become a key marker of ethno-cultural identity.
- Features listed in the paper include:
  - Pronunciation: dropping and adding /h/, "aks" for "ask", and "-in" for "-ing".
  - Grammar: double negatives and double subjects ("My niece, she did it").
  - Vocabulary: lexical transfer such as *blackfella* and borrowings such as *dardy* from Nyungar.
- The variety ranges along a continuum:
  - Acrolectal forms are close to Standard Australian English.
  - Basilectal forms are close to Kriol.
  - There is no national spelling standard; for example, Nyungar is also spelled Noongar and Nyoongar.
- Data practice included the following choices:
  - Open-ended yarning sessions were rejected as too likely to surface sensitive material.
  - Speech was elicited with conversational prompts and story boards on general topics.
  - Research assistants recruited from the community collected the data, guided by an Advisory Committee.
  - Only public YouTube videos were used to draft the transcription guidelines.

## Interesting ideas
- Local spelling variation (Nyungar/Noongar/Nyoongar) reflects community preference, not error, so systems should accept every variant rather than force one norm.
- Double subjects and negative concord are systematic grammar of the variety, not broken English, and the variety itself shifts gradually between acrolect and basilect.
- "Gratuitous concurrence" means a "yes" to a direct question may signal politeness or non-understanding rather than agreement.
- Designing elicitation prompts that deliberately avoid sensitive topics keeps the corpus usable and safe for third parties.
- The authors urge English-language systems to state explicitly whether they handle Australian Aboriginal English.

## For Mova

How these ideas could serve Mova, our small open language model — its files, stages and tests:

- **I1** (tokens): the lemmatizer could keep variant-spelling tables that map community spellings to one lemma while preserving the surface form, instead of flagging them as typos.
- **I2** (tree): UD dialect conversion could annotate left-dislocated subjects with `dislocated` and treat stacked negators as one negation, with test sentences graded along the dialect continuum.
- **I3** (frames): the speech-act layer could treat bare assent to a direct question as weak evidence, recording it with lower confidence instead of committing it as a firm fact in the world model.
- **I4** (learn): when building silver data or self-play scenarios, curated prompt sets could steer away from content we would not want to store or redistribute, documenting that choice alongside the data.
- **I5** (answer): evaluation reports could list which English varieties were actually tested, making coverage gaps visible instead of implying universal English support.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

## Institutions

- [Australian National University](https://md.research.elamur.ai/free/en/universities/australian-national-university/) — University, Canberra, Australia · 23 works · 6,522 citations
- [The University of Western Australia](https://md.research.elamur.ai/free/en/universities/the-university-of-western-australia/) — University, Perth, Australia · 8 works · 1,707 citations

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🧭 Topics (2): [English](https://md.research.elamur.ai/free/en/topics/english/) · 2,263 works · [🎙️ Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) · 480 works

## Cite

Cite as: Ben Hutchinson, Celeste Rodriguez Louro, Glenys Collard and Ned Cooper. 2025. Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation. arXiv:2503.03186.

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@misc{hutchinson2025designing,
  title = {{Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation}},
  author = {Ben Hutchinson, Celeste Rodriguez Louro, Glenys Collard and Ned Cooper},
  year = {2025},
  doi = {10.48550/arxiv.2503.03186},
  eprint = {2503.03186},
  archivePrefix = {arXiv},
  url = {https://doi.org/10.48550/arxiv.2503.03186}
}
```

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*Updated 1 November 2026*