---
title: "Identifications of Speaker Ethnicity in South-East England:"
description: "The paper asks whether ordinary listeners can tell the ethnicity of young speakers from South-East… 47 references, cited by 2 papers here."
authors: ["Amanda Cole"]
year: 2020
venue: "Proceedings of the LREC 2020 Workshop on ``Citizen Linguistics in Language Resource Development''"
source: "https://aclanthology.org/2020.cllrd-1.7/"
licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)"
licence_url: "https://creativecommons.org/licenses/by-nc/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/cole-2020-identifications-speaker-ethnicity-south-east/"
---
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# Identifications of Speaker Ethnicity in South-East England: Multicultural London English as a Divisible Perceptual Variety

**Authors:** Amanda Cole · **Year:** 2020 · **Venue:** Proceedings of the LREC 2020 Workshop on \`\`Citizen Linguistics in Language Resource Development'' · **Publisher:** [European Language Resources Association (ELRA)](https://md.research.elamur.ai/free/en/publishers/european-language-resources-association-elra/) · **Licence:** [CC BY-NC 4.0 (ELRA, LREC proceedings)](https://creativecommons.org/licenses/by-nc/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2020.cllrd-1.7/) · [PDF](https://aclanthology.org/2020.cllrd-1.7.pdf) · [OpenAlex](https://openalex.org/W3032510985)

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

## Summary
The paper asks whether ordinary listeners can tell the ethnicity of young speakers from South-East England by voice alone. It also tests whether this perception fits production research claiming that minority youth in London share one new variety, Multicultural London English (MLE). Through the citizen-science platform LanguageARC, as part of the project "From Cockney to the Queen", ten volunteers (five in the US, five in South-East England) heard lexically identical recordings from a corpus of 227 speakers aged 18–33. They sorted each speaker into White British, Black British or Asian British. The author expected two things: Black and Asian British speakers would be confused with each other, and local listeners would outperform the Americans. Neither held. Listeners were correct 80.7% of the time, with no significant difference between the two listener groups. Black British Londoners were identified most reliably. The author concludes that MLE is perceptually split by ethnicity and that these cues reach beyond London. This matters for annotation projects that ask untrained people to label speakers' social identity.

## Key points
- Data were crowdsourced via LanguageARC, from 10 participants (5 US, 5 South-East England), using recordings of 227 speakers aged 18–33 from South-East England.
- The stimuli were lexically identical, so judgements had to rest on how speakers sounded rather than what they said.
- Overall accuracy across the three ethnic categories was 80.7%, and the US and UK listener groups did not differ significantly.
- Black British speakers from London were recognised 96% of the time, suggesting a distinct perceptual category.
- Black British and Asian British speakers from outside London were still identified well above chance, at 80% and 60%.

## Interesting ideas
- Holding the words constant across all recordings isolates the one factor being tested (pronunciation) from content cues, a clean way to probe what a judge really relies on.
- The study compares near and distant listener groups to test for a proximity effect, rather than assuming that local annotators are better.
- The paper separates how lay people categorise variation from how variation objectively exists, and treats the two as possibly diverging.
- Social categories are used because the community treats them as meaningful, while the author openly flags them as scientifically shaky.
- Accuracy is reported per subgroup against chance level, not only as one overall number, which reveals where the categories are really separable.

## For Mova

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

- **I1** (learn): Build negative-control sets where the lexical content is fixed and only one property varies, then check whether a parser or reader's decisions shift for the right reason.
- **I2** (learn): When silver labels come from several witness parsers or LLM teacher tiers, measure whether "closer" sources actually agree with gold better instead of weighting them by assumption.
- **I3** (world): Store a speaker's or narrator's perceived classification of an entity as a belief attached to that person, kept apart from the world-level fact.
- **I4** (world): Ontology entries drawn from public or official usage (e.g. Wikidata classes) could carry a marker that they are emic conventions, so reasoning does not treat them as natural kinds.
- **I5** (answer): Report school-test and QA results broken down by question type against a trivial baseline, so strong averages cannot hide weak categories.

*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

- [University of Essex](https://md.research.elamur.ai/free/en/universities/university-of-essex/) — University, Colchester, United Kingdom · 34 works · 3,537 citations

📚 Shelves (4): [🎭 Arts and Humanities](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · 16,039 works · [🗣️ Language and Linguistics](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · 15,891 works · [💭 Psychology](https://md.research.elamur.ai/free/en/shelves/psychology/) · 1,552 works · [💭 Experimental and Cognitive Psychology](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · 870 works

🧭 Topics (1): [English](https://md.research.elamur.ai/free/en/topics/english/) · 2,263 works

## Cite

Cite as: Amanda Cole. 2020. Identifications of Speaker Ethnicity in South-East England: Multicultural London English as a Divisible Perceptual Variety. Proceedings of the LREC 2020 Workshop on \`\`Citizen Linguistics in Language Resource Development''.

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

```bibtex
@inproceedings{cole2020identifications,
  title = {{Identifications of Speaker Ethnicity in South-East England: Multicultural London English as a Divisible Perceptual Variety}},
  author = {Amanda Cole},
  booktitle = {Proceedings of the LREC 2020 Workshop on ``Citizen Linguistics in Language Resource Development''},
  year = {2020},
  url = {https://aclanthology.org/2020.cllrd-1.7/}
}
```

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*Updated 1 November 2026*