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Reduction of survey sites in dialectology: A new methodology based on clustering ...
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Reduction of survey sites in dialectology: A new methodology based on clustering ...
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Reduction of Survey Sites in Dialectology: A New Methodology Based on Clustering ...
Jeszenszky, Péter; Steiner, Carina; Leemann, Adrian. - : Frontiers Media, 2021
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4
How prior experience with pitch accents shapes the perception of word and sentence stress ...
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How prior experience with pitch accents shapes the perception of word and sentence stress ...
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Reduction of Survey Sites in Dialectology: A New Methodology Based on Clustering
In: Front Artif Intell (2021)
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7
Using Crowd-Sourced Speech Data to Study Socially Constrained Variation in Nonmodal Phonation
In: Front Artif Intell (2021)
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8
Reduction of survey sites through clustering: a new geospatial methodology for traditional dialectology ...
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9
Sussex by the sea: a descriptive analysis of dialect variation in the South East of England based on English Dialect App data ...
Jansen, Sandra; Robinson, Justyna A.; Cahill, Lynne. - : Cambridge University Press, 2020
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10
A typology of laterals in twelve English dialects
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11
General Northern English. Exploring regional variation in the North of England with machine learning
Abstract: In this paper, we present a novel computational approach to the analysis of accent variation. The case study is dialect leveling in the North of England, manifested as reduction of accent variation across the North and emergence of General Northern English (GNE), a pan-regional standard accent associated with middle-class speakers. We investigated this instance of dialect leveling using random forest classification, with audio data from a crowd-sourced corpus of 105 urban, mostly highly-educated speakers from five northern UK cities: Leeds, Liverpool, Manchester, Newcastle upon Tyne, and Sheffield. We trained random forest models to identify individual northern cities from a sample of other northern accents, based on first two formant measurements of full vowel systems. We tested the models using unseen data. We relied on undersampling, bagging (bootstrap aggregation) and leave-one-out cross-validation to address some challenges associated with the data set, such as unbalanced data and relatively small sample size. The accuracy of classification provides us with a measure of relative similarity between different pairs of cities, while calculating conditional feature importance allows us to identify which input features (which vowels and which formants) have the largest influence in the prediction. We do find a considerable degree of leveling, especially between Manchester, Leeds and Sheffield, although some differences persist. The features that contribute to these differences most systematically are typically not the ones discussed in previous dialect descriptions. We propose that the most systematic regional features are also not salient, and as such, they serve as sociolinguistic regional indicators. We supplement the random forest results with a more traditional variationist description of by-city vowel systems, and we use both sources of evidence to inform a description of the vowels of General Northern English.
URL: https://doi.org/10.3389/frai.2020.00048
https://eprints.lancs.ac.uk/id/eprint/146293/
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12
General Northern English. Exploring Regional Variation in the North of England With Machine Learning
In: Front Artif Intell (2020)
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13
Sussex by the sea: a descriptive analysis of dialect variation in the South East of England based on English Dialect App data
Jansen, Sandra; Robinson, Justyna A; Cahill, Lynne. - : Cambridge University Press, 2020
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14
The FACE of Change in English Dialects: 1950 v 2018 ...
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15
Areale Variation von /r/-Realisierungen in schweizerdeutschen Dialekten. Eine quantitative Untersuchung von Crowdsourcing-Daten ...
Schmid, Stephan; Leemann, Adrian; Studer-Joho, Dieter. - : European University Viadrina, 2019
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16
Analyzing linguistic variation and change using gamification web apps: the case of German-speaking Europe ...
Leemann, Adrian; Derungs, Curdin; Elspaß, Stephan. - : Public Library of Science (PLoS), 2019
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17
Analyzing linguistic variation and change using gamification web apps: The case of German-speaking Europe ...
Leemann, Adrian Martin; Derungs, Curdin; Elspass, Stephan. - : Public Library of Science, 2019
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18
Investigating the FOOT-STRUT distinction in Northern Englishes using crowdsourced data.
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19
Analyzing linguistic variation and change using gamification web apps: the case of German-speaking Europe
In: Leemann, Adrian; Derungs, Curdin; Elspaß, Stephan (2019). Analyzing linguistic variation and change using gamification web apps: the case of German-speaking Europe. PLoS ONE, 14:online. (2019)
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20
Investigating the FOOT-STRUT distinction in Northern Englishes using crowdsourced data
In: Strycharczuk, Patjcia; Brown, Georgina; Leemann, Adrian; Britain, David (2019). Investigating the FOOT-STRUT distinction in Northern Englishes using crowdsourced data. In: 19th International Congress of Phonetic Sciences, Melbourne, Australia, 5 August 2019 - 9 August 2019, 1337-1341. (2019)
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