Corpus-Based Vocabulary Analysis of English Podcasts

Autor/inn/en	Nurmukhamedov, Ulugbek; Sharakhimov, Shoaziz
Titel	Corpus-Based Vocabulary Analysis of English Podcasts
Quelle	In: RELC Journal: A Journal of Language Teaching and Research, 54 (2023) 1, S.7-21 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Nurmukhamedov, Ulugbek)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-6882
DOI	10.1177/0033688220979315
Schlagwörter	Speeches; Computational Linguistics; English (Second Language); Second Language Learning; Second Language Instruction; Audio Equipment; Vocabulary Skills; Programming (Broadcast); Authentic Learning; Audiences; Nouns; Word Frequency; Speech Communication; Teaching Methods + Suchen Sie Ihr Suchwort? Linguistics; Computerlinguistik; English as second language; English; Second Language; Englisch als Zweitsprache; Zweitsprachenerwerb; Fremdsprachenunterricht; Audio-CD; Aktiver Wortschatz; Programmgestaltung; Spectator; Zuschauer; Word analysis; Frequency; Wortanalyse; Häufigkeit; Teaching method; Lehrmethode; Unterrichtsmethode
Abstract	In addition to movies, television programs, and TED Talks presentations, podcasts are an increasingly popular form of media that promotes authentic public discourse for diverse audiences, including university professors and students. However, English language teachers in the English as a second language/English as a foreign language contexts might wonder: "How do I know that my students can handle the vocabulary demands of podcasts?" To answer that question, we have analyzed a 1,137,163-word corpus comprising transcripts from 170 podcast episodes derived from the following popular podcasts: "Freakonomics;" "Fresh Air"; "Invisibilia"; "Hidden Brain"; "How I Built This"; "Radiolab"; "TED Radio Hour"; "This American Life"; and "Today Explained." The results showed that knowledge about the most frequent 3000 word families plus proper nouns (PN), marginal words (MW), transparent compounds (TC), and acronyms (AC) provided 96.75% coverage, and knowledge about the most frequent 5000 word families, including PN, MW, TC, and AC provided 98.26% coverage. The analysis also showed that there is some variation in coverage among podcast types. The pedagogical implications for teaching and learning vocabulary via podcasts are discussed. (As Provided).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01