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Autor/inn/enPanthong, Panupan; Poonpon, Kornwipa
TitelFunctional Analysis of Lexical Bundles in Doctor Talks in the Medical T.V. Series "Grey's Anatomy"
QuelleIn: LEARN Journal: Language Education and Acquisition Research Network, 13 (2020) 2, S.335-353 (19 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN2630-0672
SchlagwörterPhrase Structure; Television; Programming (Broadcast); Taxonomy; Discourse Analysis; Physicians; Language Fluency; Second Language Learning; Second Language Instruction; English (Second Language); English for Special Purposes; Physician Patient Relationship
AbstractLexical bundles, or recurrent word strings, are one of the key elements in increasing fluency of linguistic production and in mastering second language learning. In most previous works, lexical bundles were analyzed in specific disciplines. Little research paid attention to spoken discourse, particularly in doctors' conversations (hereby referred to as "Doctor Talks"). This study aimed to investigate four-word lexical bundles in Doctor Talks and their operationalized functions. A Doctor Talk corpus was compiled from a famous medical TV series, "Grey's Anatomy," consisting of approximately one million running words (269 episodes from 12 seasons over 11 years). Four-word lexical bundles were identified, using "WordSmith Tool" version 7.0, and their discourse functions were analyzed, using Biber et al.'s (2004) functional taxonomy as a framework. The results reveal that 99 bundle types are present in the Doctor Talk corpus. Stance bundles are common in this spoken conversation corpus while lexical bundles articulating with special conversation features show the least proportion. The results also show some particular functions used in Doctor Talks as discourse organizers. (As Provided).
AnmerkungenLanguage Institute of Thammasat University. The Prachan Campus, 2 Prachan Road, Bangkok 10200 Thailand. e-mail: learnjournal@gmail.com; Web site: https://www.tci-thaijo.org/index.php/learn
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2022/1/01
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