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dc.contributor.authorGries, ST
dc.contributor.authorDurrant, P
dc.date.accessioned2018-08-29T15:17:40Z
dc.date.issued2021-05-05
dc.description.abstractIn this chapter, we provide an overview of quantitative as well as qualitative approaches to co-occurrence data. We begin with a brief terminological overview of different types of co-occurrence that are prominent in corpus-linguistic studies and then discuss the computation of some widely-used measures of association used to quantify co-occurrence. We present two representative case studies, one exploring lexical collocation and learner proficiency, the other creative uses of verbs in/with argument structure constructions. In addition, we highlight how most widely-used measures actually all fall out from viewing corpus-linguistic association as an instance of regression modeling and discuss newer developments and potential improvements of association measure research.en_GB
dc.identifier.citationIn: A practical handbook of corpus linguistics, edited by Magali Paquot and Stefan T. Gries, pp. 141 - 159en_GB
dc.identifier.doi10.1007/978-3-030-46216-1_7
dc.identifier.urihttp://hdl.handle.net/10871/33848
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.rights.embargoreasonUnder embargo until 5 May 2023 in compliance with publisher policyen_GB
dc.rights© Springer Nature Switzerland AG 2020
dc.titleAnalyzing co-occurrence dataen_GB
dc.typeBook chapteren_GB
dc.contributor.editorGries, STen_GB
dc.contributor.editorPaquot, Men_GB
exeter.place-of-publicationNew Yorken_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from Springer via the DOI in this recorden_GB


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