Linguistic Metaphors and Collocation in Nonliterary Corpus Data

Bibliographic Data

ID20414014
AuthorsAlice Deignan (0000-0002-9156-9168, corresponding author)
Year1999
Volume14
Issue1
Pages19-36
Publication date1999-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMetaphor and Symbol (JOURNAL)
Journal identifiersISSN: 1092-6488 • E-ISSN: 1532-7868
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1207/s15327868ms1401_3
OpenAlexW2005246597
LanguageEN
Citations received8
References cited9

The description of linguistic metaphors has often been restricted to intuitively generated examples or the analysis of short texts. The development of large corpora of computer-searchable nonliterary texts enables researchers to make more accurate statements about the use of linguistic metaphors. In the studies described in this article, a computerized corpus has been used to determine the extent to which clusters of words from particular source domains are used in the same target domain. It seems that there may be several ways in which clusters of words are metaphorically mapped. The studies further showed that some constraints on target domain language use are not predictable from models of metaphorical mapping but can be explained by pragmatic factors

Corpus linguistics · Linguistics · Natural language processing · Computer Science · Language, Metaphor, and Cognition · linguistics and terminology studies · Mathematics · Natural Language Processing Techniques · Philosophy · Artificial Intelligence

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