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Ezra Wyschogrod

Datos Biográficos

ID4054988
NOMBREEzra Wyschogrod
NOMBRESEzra
APELLIDOWyschogrod
FIRMAWYSCHOGROD E
AFILIACIONESGeorgetown University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS6
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2019
ÍNDICE H1
  • Bring on the Crowd! Using Online Audio Crowd-Sourcing for Large-Scale New England Dialectology and Acoustic Sociophonetics

    Chaeyoon Kim, Sravana Reddy et al.•ARTICLE•American Speech•2019•Citada por: 6•Referencias: 37

    This study aims to (1) identify current geographic patterns of major New England dialect features relative to prior work in previous generations and (2) 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 alway…

  • Bring on the Crowd! Using Online Audio Crowd-Sourcing for Large-Scale New England Dialectology and Acoustic Sociophonetics

    Chaeyoon Kim, Sravana Reddy et al.•ARTICLE•American Speech•2019•Citada por: 6•Referencias: 37

    This study aims to (1) identify current geographic patterns of major New England dialect features relative to prior work in previous generations and (2) 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 alway…

  • Bring on the Crowd! Using Online Audio Crowd-Sourcing for Large-Scale New England Dialectology and Acoustic Sociophonetics

    Chaeyoon Kim, Sravana Reddy et al.•ARTICLE•American Speech•2019•Citada por: 6•Referencias: 37

    This study aims to (1) identify current geographic patterns of major New England dialect features relative to prior work in previous generations and (2) 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 alway…

Cartography (1 obras) · Computer Science (1 obras) · Crowd sourcing (1 obras) · Dialectology (1 obras) · Geography (1 obras) · Linguistic Variation and Morphology (1 obras) · Linguistics (1 obras) · Phonetics and Phonology Research (1 obras) · Scale (ratio (1 obras) · Spanish Linguistics and Language Studies (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae