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The English Dialects App: the creation of a crowdsourced dialect corpus

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The English Dialects App: the creation of a crowdsourced dialect corpus. / Leemann, Adrian; Kolly, Marie-José; Britain, David.
In: Ampersand, Vol. 5, 2018, p. 1-17.

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Leemann A, Kolly M-J, Britain D. The English Dialects App: the creation of a crowdsourced dialect corpus. Ampersand. 2018;5:1-17. Epub 2017 Nov 24. doi: 10.1016/j.amper.2017.11.001

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Leemann, Adrian ; Kolly, Marie-José ; Britain, David. / The English Dialects App : the creation of a crowdsourced dialect corpus. In: Ampersand. 2018 ; Vol. 5. pp. 1-17.

Bibtex

@article{978c343c795f400e98471ebeba938b53,
title = "The English Dialects App: the creation of a crowdsourced dialect corpus",
abstract = "In this paper, we present the English Dialects App (EDA) and the English Dialects App Corpus (EDAC). EDA is a free iOS and Android app, launched in January 2016 that features a dialect quiz and dialect recordings. For the quiz, users indicate which variants of 26 words they use and the application guesses their local dialect; for the recordings, users can record a short text. The result is EDAC which includes metadata on mobility, ethnicity, age, educational level, and gender. More than 47,000 users from across the UK have indicated dialect variants for these 26 words, and more than 3,500 users have provided audio recordings. Unavoidably, EDAC does not successfully reflect distributions of age, ethnicity, qualification levels, and other parameters found for the UK population given that smartphone-based research reaches a specific stratum of the population. Yet there are also clear benefits to the sampling strategy used – benefits and pitfalls are discussed in this article. Future analyses will provide the most comprehensive understanding of English regional dialect variation since the work of the traditional dialectologists. We showcase two such analyses in this article. EDAC should, we demonstrate, be of interest to researchers in dialectology but also in forensic phonetics.",
author = "Adrian Leemann and Marie-Jos{\'e} Kolly and David Britain",
year = "2018",
doi = "10.1016/j.amper.2017.11.001",
language = "English",
volume = "5",
pages = "1--17",
journal = "Ampersand",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - The English Dialects App

T2 - the creation of a crowdsourced dialect corpus

AU - Leemann, Adrian

AU - Kolly, Marie-José

AU - Britain, David

PY - 2018

Y1 - 2018

N2 - In this paper, we present the English Dialects App (EDA) and the English Dialects App Corpus (EDAC). EDA is a free iOS and Android app, launched in January 2016 that features a dialect quiz and dialect recordings. For the quiz, users indicate which variants of 26 words they use and the application guesses their local dialect; for the recordings, users can record a short text. The result is EDAC which includes metadata on mobility, ethnicity, age, educational level, and gender. More than 47,000 users from across the UK have indicated dialect variants for these 26 words, and more than 3,500 users have provided audio recordings. Unavoidably, EDAC does not successfully reflect distributions of age, ethnicity, qualification levels, and other parameters found for the UK population given that smartphone-based research reaches a specific stratum of the population. Yet there are also clear benefits to the sampling strategy used – benefits and pitfalls are discussed in this article. Future analyses will provide the most comprehensive understanding of English regional dialect variation since the work of the traditional dialectologists. We showcase two such analyses in this article. EDAC should, we demonstrate, be of interest to researchers in dialectology but also in forensic phonetics.

AB - In this paper, we present the English Dialects App (EDA) and the English Dialects App Corpus (EDAC). EDA is a free iOS and Android app, launched in January 2016 that features a dialect quiz and dialect recordings. For the quiz, users indicate which variants of 26 words they use and the application guesses their local dialect; for the recordings, users can record a short text. The result is EDAC which includes metadata on mobility, ethnicity, age, educational level, and gender. More than 47,000 users from across the UK have indicated dialect variants for these 26 words, and more than 3,500 users have provided audio recordings. Unavoidably, EDAC does not successfully reflect distributions of age, ethnicity, qualification levels, and other parameters found for the UK population given that smartphone-based research reaches a specific stratum of the population. Yet there are also clear benefits to the sampling strategy used – benefits and pitfalls are discussed in this article. Future analyses will provide the most comprehensive understanding of English regional dialect variation since the work of the traditional dialectologists. We showcase two such analyses in this article. EDAC should, we demonstrate, be of interest to researchers in dialectology but also in forensic phonetics.

U2 - 10.1016/j.amper.2017.11.001

DO - 10.1016/j.amper.2017.11.001

M3 - Journal article

VL - 5

SP - 1

EP - 17

JO - Ampersand

JF - Ampersand

ER -