Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118724
DC FieldValueLanguage
dc.contributorDepartment of English and Communicationen_US
dc.contributor.editorBrookes, Gen_US
dc.contributor.editorCurry, Nen_US
dc.contributor.editorLove, Ren_US
dc.creatorLin, Pen_US
dc.date.accessioned2026-05-14T05:20:14Z-
dc.date.available2026-05-14T05:20:14Z-
dc.identifier.isbn978-1-009-38197-0 (Hardback)en_US
dc.identifier.isbn978-1-009-38199-4 (Paperback)en_US
dc.identifier.isbn978-1-009-38200-7 (ebook)en_US
dc.identifier.othera3046-
dc.identifier.urihttp://hdl.handle.net/10397/118724-
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.titleUsing corpus linguistics in formulaic language learningen_US
dc.typeBook Chapteren_US
dc.identifier.spage83en_US
dc.identifier.epage104en_US
dc.identifier.doi10.1017/9781009382007.005en_US
dcterms.abstractThis chapter leverages the IdiomsTube project to illustrate how corpus linguistics enhances research and tool development for formulaic language acquisition. Formulaic language, encompassing idioms, proverbs, and sayings, is common in everyday communication. However, English as a foreign language (EFL) learners often struggle with these conventionalised expressions due to limited exposure to authentic spoken contexts. To address this challenge, the IdiomsTube project conducted corpus studies to uncover patterns in formulaic language use, including prosodic features and distribution across internet television genres. Corpus linguistic methods have also enabled the development of the IdiomsTube app, a specialised tool for computer-assisted formulaic language learning. Informed by corpus-derived frequency data and innovative concordancer design, the app uniquely prioritises user experience. Unlike conventional concordancers, the IdiomsTube app dynamically compiles a corpus from captions retrieved in real-time from YouTube videos based on the user’s search word, allowing users to read concordance lines from current, trending videos. This design makes concordancing engaging and motivating for learners. This chapter demonstrates how modernising concordancer designs with a focus on learner accessibility and real-time content can significantly advance formulaic language acquisition.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationIn G Brookes, N Curry, R Love (Eds.), Applications of corpus linguistics: established and emergent contexts, p. 83-104. Cambridge, United Kingdom: Cambridge University Press, 2026en_US
dcterms.issued2026-
dc.relation.ispartofbookApplications of corpus linguistics: established and emergent contextsen_US
dc.publisher.placeCambridge, United Kingdomen_US
dc.description.validate202605 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormID49281-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-06-26 (Version of Record)en_US
dc.description.oaCategoryPublisher permissionen_US
Appears in Collections:Book Chapter
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Embargo End Date 2026-06-26 (Version of Record)
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