iReteslaw

Modern approaches to automated identification of metaphor

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dc.contributor.advisor
dc.contributor.author Levchenko, Olena
dc.contributor.author Romanyshyn, Nataliia
dc.date.accessioned 2019-12-14T11:26:26Z
dc.date.available 2019-12-14T11:26:26Z
dc.date.issued 2019
dc.identifier.citation Вісник Львівського університету. Серія філологічна, 2019, вип. 70, с. 288–298. en
dc.identifier.issn 2078-5534
dc.identifier.uri https://hdl.handle.net/20.500.12528/1088
dc.description.abstract This article discusses the existing methods and techniques of metaphor identification in text corpora. It focuses on the advantages of combination of semantic and statistical approaches to metaphoric corpus annotations, the role of dictionary-based data in mechanisms of verification of language media figurative usage and automated identification of metaphors. en
dc.language.iso en en
dc.subject metaphor en
dc.subject metaphor identification en
dc.subject text corpus en
dc.subject text corpus annotation en
dc.title Modern approaches to automated identification of metaphor en
dc.type Book chapter en


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