Double modals are a well-known nonstandard feature of some regional varieties of English in North America, but due to their rareness in spoken language, questions remain as to the inventory of possible combinatorial types and the geographic extent of their use in contemporary naturalistic speech. This study investigates double modals in the Corpus of North American Spoken English (CoNASE), a 1.2-billion-word corpus of time-stamped and geolocated automatic speech recognition (ASR) YouTube transcripts from the United States and Canada. Double modal sequences were identified in the corpus using regular expressions, then verified via manual examination of videos. The study represents the first large-scale, continent-wide analysis of double modals based entirely on recent naturalistic production data, rather than data such as elicited responses or sentence acceptability judgments, and it demonstrates a larger double modal inventory and a broader geographic range of use for the feature than has previously been documented, including in Canada.
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February 01 2024
Naturalistic Double Modals in North America Available to Purchase
Steven Coats
Steven Coats
University of Oulu
STEVEN COATS is a lecturer in English at the University of Oulu, Finland, with interests in corpus linguistics, dialectology, and computer-mediated communication. He recently created the 1.25-billion-word Corpus of North American Spoken English (CoNASE) and is a member of the steering committee of the CMC-Corpora Conference Series, a conference for the development, analysis, and processing of corpora of computer-mediated communication and social media for research in the humanities. Email: [email protected].
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American Speech (2024) 99 (1): 47–77.
Citation
Steven Coats; Naturalistic Double Modals in North America. American Speech 1 February 2024; 99 (1): 47–77. doi: https://doi.org/10.1215/00031283-9766889
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