Bring on the crowd! Using online audio crowdsourcing for large-scale New England dialectology and acoustic sociophonetics

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Bring on the crowd! Using online audio crowdsourcing for large-scale New England dialectology and acoustic sociophonetics. / Chaeyoon, Kim; Reddy, Sravana; Stanford, James; Wyschogrod, Ezra; Grieve, Jack.

In: American Speech, 31.08.2018, p. 1-38.

Research output: Contribution to journalArticlepeer-review

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@article{e7f7287b96b84f7bad45a2cf17b97939,
title = "Bring on the crowd! Using online audio crowdsourcing for large-scale New England dialectology and acoustic sociophonetics",
abstract = "This study aims to (i) identify current geographic patterns of major New England dialect features relative to prior work in previous generations and (ii) test the effectiveness of large-scale audio crowdsourcing by using Amazon Mechanical Turk to collect sociophonetic data. Using recordings from 626 speakers across the region, this is the largest acoustic sociophonetic study ever conducted in New England. Although face-to-face fieldwork will always be crucial in sociolinguistics and dialectology, we believe that online audio-recorded crowdsourcing can play a valuable complementary role, offering an efficient way to greatly increase the scope of sample sizes and sociolinguistic knowledge.",
keywords = "dialectology, dialect geography, sociophonetics, New England, online crowdsourcing, vowels",
author = "Kim Chaeyoon and Sravana Reddy and James Stanford and Ezra Wyschogrod and Jack Grieve",
year = "2018",
month = aug,
day = "31",
doi = "10.1215/00031283-7251252",
language = "English",
pages = "1--38",
journal = "American Speech",
issn = "0003-1283",
publisher = "Duke University Press",

}

RIS

TY - JOUR

T1 - Bring on the crowd! Using online audio crowdsourcing for large-scale New England dialectology and acoustic sociophonetics

AU - Chaeyoon, Kim

AU - Reddy, Sravana

AU - Stanford, James

AU - Wyschogrod, Ezra

AU - Grieve, Jack

PY - 2018/8/31

Y1 - 2018/8/31

N2 - This study aims to (i) identify current geographic patterns of major New England dialect features relative to prior work in previous generations and (ii) test the effectiveness of large-scale audio crowdsourcing by using Amazon Mechanical Turk to collect sociophonetic data. Using recordings from 626 speakers across the region, this is the largest acoustic sociophonetic study ever conducted in New England. Although face-to-face fieldwork will always be crucial in sociolinguistics and dialectology, we believe that online audio-recorded crowdsourcing can play a valuable complementary role, offering an efficient way to greatly increase the scope of sample sizes and sociolinguistic knowledge.

AB - This study aims to (i) identify current geographic patterns of major New England dialect features relative to prior work in previous generations and (ii) test the effectiveness of large-scale audio crowdsourcing by using Amazon Mechanical Turk to collect sociophonetic data. Using recordings from 626 speakers across the region, this is the largest acoustic sociophonetic study ever conducted in New England. Although face-to-face fieldwork will always be crucial in sociolinguistics and dialectology, we believe that online audio-recorded crowdsourcing can play a valuable complementary role, offering an efficient way to greatly increase the scope of sample sizes and sociolinguistic knowledge.

KW - dialectology

KW - dialect geography

KW - sociophonetics

KW - New England

KW - online crowdsourcing

KW - vowels

U2 - 10.1215/00031283-7251252

DO - 10.1215/00031283-7251252

M3 - Article

SP - 1

EP - 38

JO - American Speech

JF - American Speech

SN - 0003-1283

ER -