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dc.contributor.authorEgan, Thomas Laurence
dc.date.accessioned2020-03-30T09:37:37Z
dc.date.available2020-03-30T09:37:37Z
dc.date.created2019-07-09T10:35:53Z
dc.date.issued2019
dc.identifier.citationCogniTextes. 2019, 19 .en_US
dc.identifier.issn1958-5322
dc.identifier.urihttps://hdl.handle.net/11250/2649333
dc.description.abstractThis article presents and discusses some problems of representativeness that the author has encountered in over twenty years of corpus-based research. It argues that the inclusion in a general corpus of certain text types, such as grammar treatises or works of historical fiction, can lessen the representativeness of the data, especially if the corpus is designed to reflect the linguistic production, as opposed to the linguistic reception, of a speech community. It is argued that less emphasis should be placed on reception in the compilation of general corpora. Also addressed are problems relating to the comparison of texts in different languages, as well as two solutions that have been proposed to counter these problems. The arguments are illustrated with examples from both contemporary and historical corpora.en_US
dc.language.isoengen_US
dc.relation.urihttps://journals.openedition.org/cognitextes/1772
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleNon-representativeness in corpora: perils, pitfalls and challengesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber33en_US
dc.source.volume19en_US
dc.source.journalCogniTextesen_US
dc.identifier.doi10.4000/cognitextes.1772
dc.identifier.cristin1710767
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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