Modern approaches to automated identification of metaphor

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