In:Producing Figurative Expression: Theoretical, experimental and practical perspectives
Edited by John Barnden and Andrew Gargett
[Figurative Thought and Language 10] 2020
► pp. 511–532
Metaphor as sign and as symbol
Published online: 17 December 2020
https://doi.org/10.1075/ftl.10.18vea
https://doi.org/10.1075/ftl.10.18vea
Abstract
Metaphors come as second nature to users of
language because they are so often the norm. We trade in them
deftly, to the point of seeming indifference to, and sometimes even
ignorance of, their figurative natures. But the opposite is also
true, since words that are offered with the plainest of intentions
can be granted a metaphorical significance by those who wish to
perceive it. In this paper we contribute to the debate about
deliberate metaphors by exploring a related
concept, the potential metaphor. Any text that
supports a non-literal interpretation is a potential metaphor,
regardless of its author’s avowed intentions. We build on this
distinction to model the mechanical generation of metaphors as an
opportunistic process, whereby potential metaphors are converted
into deliberate metaphors. We argue that the distinction between
potential and deliberate is mirrored in that between signs and
symbols, and demonstrate how this understanding leads to a more
nuanced basis for generating and interpreting metaphors on a
machine.
Keywords: signs, symbols, deliberate metaphors, potential metaphors
Article outline
- 1.A clash of signs and symbols
- 2.Signposting the career of metaphor
- 3. When symbols trump signs
- 4. Needles in a metaphor haystack
- 5.Metaphor in the moment
- 5.1Metaphors in the news
- 6.Metaphors on the ground
- 7.Summary and conclusions
Notes References
References (35)
Attardo, S., & Raskin, V. (1991). Script
theory revis(it)ed: joke similarity and joke
representational
model. Humor: International
Journal of Humor
Research, 4(3), 293–347.
Barnden, J. A. (2006). Artificial
Intelligence, figurative language and cognitive
linguistics. In G. Kristiansen, M. Achard, R. Dirven, & F. J. Ruiz de Mendoza Ibanez (Eds.), Cognitive
linguistics: Current application and future
perspectives (pp. 431–459). Berlin: Mouton.
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent
Dirichlet Allocation. Journal
of Machine Learning
Research, 3, 993–1022.
Falkenhainer, B., Forbus, K. D., & Gentner. D. (1989). Structure-mapping
engine: Algorithm and
examples. Artificial
Intelligence, 41, 1–63.
Fauconnier, G., & Turner, M. (2002). The
way we think. Conceptual blending and the mind’s hidden
complexities. Basic Books.
Gentner, D., Falkenhainer, B., & Skorstad, J. (1989). Metaphor:
The good, the bad and the
ugly. In Y. Wilks (Ed.), Theoretical
issues in natural language
processing. Hillsdale, NJ: Lawrence Erlbaum Associates.
Gibbs, R. W. (2015). Does
deliberate metaphor theory have a
future? Journal of
Pragmatics, 90, 73–76.
Glucksberg, S. (1998). Understanding
metaphors. Current Directions
in Psychological
Science, 7, 39–43.
Glucksberg, S (2001). Understanding figurative language: From metaphors to idioms. Oxford: Oxford University Press.
Hofstadter, D. R., The
Fluid Analogies Research
Group, & Gibbs, R. W. (1995). Fluid
concepts and creative analogies. Computer models of the
fundamental mechanisms of
thought. Basic Books.
Jung, C. G., von Franz, M-L., Henderson, J. L., Jacobi, J., & Jaffe, A. (1964). Man
and his symbols. Ferguson Press.
Kintsch, W. (2000). Metaphor
comprehension: A computational
theory. Psychonomic Bulletin
Review, 7(2), 257–266.
Newell, A., & Simon, H. A. (1976). Computer
science as empirical inquiry. Symbols and
search. Communications of the
ACM, 19(3), 113–126.
Pullum, G. (2008). A
load of old Orwellian cobblers from
Fisk. Language
Log, August
31. [URL] (last
accessed April 20,
2020).
Ricks, C. B. (1980). Clichés. In L. Michaels, & C. B. Ricks (Eds.), The
state of the
language. University of California Press.
Steen, G. (2011). The
contemporary theory of metaphor – now new and
improved! Review of Cognitive
Linguistics, 9, 26–64.
(2015). Developing,
testing and interpreting deliberate metaphor
theory. Journal of
Pragmatics, 90, 67–72.
Thibodeau, P. H., & Durgin, F. H. (2011). Metaphor
aptness and conventionality: A processing fluency
account. Metaphor and
Symbol, 26(3), 206–226.
Veale, T. (2012). Exploding
the creativity myth: The computational foundations of
linguistic
creativity. London, UK: Bloomsbury Academic.
(2013). Less
rhyme, more reason: Knowledge-based poetry generation with
feeling, insight and
wit.
Proc.
ICCC 2013, the 4th Int. Conf. on Computational
Creativity
, Sydney,
Australia, June.
(2015). Unnatural
selection: Seeing human intelligence in artificial
creations. Journal of General
Artificial
Intelligence, 6(1), 5–20.
Veale, T., & Alnajjar, K. (2016). Grounded
for life: Creative symbol-grounding for lexical
invention. Connection
Science, 28(2), 139–154.
Veale, T., Chen, H., & Li, G. (2017). I
read the news today, Oh boy! Making metaphors topical,
timely and humorously
personal. In
Proceedings
of HCII’2017, Distributed, Ambient & Pervasive
Interaction
, Vancouver,
Canada.
Cited by (2)
Cited by two other publications
Colston, Herbert
[no author supplied]
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