Article published In:
Current challenges in metaphor research
Edited by Nina Julich-Warpakowski and Paula Pérez-Sobrino
[Metaphor and the Social World 13:1] 2023
► pp. 5980
References (60)
References
Bloomfield, L. (1933). Language. Chicago University Press.Google Scholar
Brysbaert, M., Warriner, A. B., & Kuperman, V. (2014). Concreteness ratings for 40 thousand generally known English word lemmas. Behavior Research Methods, 46 (3), 904–911. DOI logoGoogle Scholar
Bürkner, P.-C. (2017). brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software, 80 (1), 1–28. DOI logoGoogle Scholar
Bürkner, P.-C., & Vuorre, M. (2019). Ordinal regression models in psychology: A tutorial. Advances in Methods and Practices in Psychological Science, 2 (1), 77–101. DOI logoGoogle Scholar
Chersoni, E., Strik Lievers, F., & Huang, C.-R. (2019). Semantic distance and creativity in linguistic synaesthesia. In R. Otoguro, M. Komachi, & T. Ohkuma (Eds.), Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation (pp. 370–378). Waseda Institute for the Study of Language and Information.Google Scholar
Dąbrowska, E. (2016a). Cognitive Linguistics’ seven deadly sins. Cognitive Linguistics, 27 (4), 479–491. DOI logoGoogle Scholar
(2016b). Looking into introspection. In G. Drożdż (Ed.), Studies in Lexicogrammar: Theory and applications (pp. 55–74). John Benjamins. DOI logoGoogle Scholar
Dubois, D. (2000). Categories as acts of meaning: The case of categories in olfaction and audition. Cognitive Science Quarterly, 1 (1), 35–68.Google Scholar
Dunn, J. (2015). Modeling abstractness and metaphoricity. Metaphor and Symbol, 30 (4), 259–289. DOI logoGoogle Scholar
Evans, N., & Wilkins, D. (2000). In the mind’s ear: The semantic extensions of perception verbs in Australian languages. Language, 76 (3), 546–592. DOI logoGoogle Scholar
Firth, J. R. (1957). Papers in linguistics, 1934–1951. Oxford University Press.Google Scholar
Gentner, D., Brem, S., Ferguson, R., & Wolff, P. (1997). Analogy and creativity in the works of Johannes Kepler. In T. B. Ward, S. M. Smith, & J. Vaid (Eds.), Creative thought: An investigation of conceptual structures and processes. (pp. 403–459). American Psychological Association. DOI logoGoogle Scholar
Gibbs, R. W. (1994). The poetics of mind: Figurative thought, language, and understanding. Cambridge University Press.Google Scholar
(2007). Why cognitive linguists should care more about empirical methods. In M. Gonzalez-Marquez, I. Mittelberg, S. Coulson, & M. Spivey (Eds.), Methods in Cognitive Linguistics (pp. 2–18). John Benjamins. DOI logoGoogle Scholar
Günther, F., Rinaldi, L., & Marelli, M. (2019). Vector-space models of semantic representation from a cognitive perspective: A discussion of common misconceptions. Perspectives on Psychological Science, 14 (6), 1006–1033. DOI logoGoogle Scholar
Hanks, P. (2006). Metaphoricity is gradable. In A. Stefanowitsch & S. Gries (Eds.), Corpus-based approaches to metaphor and metonymy (pp. 17–35). Mouton de Gruyter. DOI logoGoogle Scholar
Hidalgo-Downing, L. (2015). Metaphor and metonymy. In R. Jones (Ed.), The Routledge handbook of language and creativity (pp. 129–150).Google Scholar
Holyoak, K. J., & Stamenković, D. (2018). Metaphor comprehension: A critical review of theories and evidence. Psychological Bulletin, 144 (6), 641. DOI logoGoogle Scholar
Indurkhya, B. (1992). Metaphor and cognition. An interactionist approach. Kluwer. DOI logoGoogle Scholar
Keuleers, E., & Balota, D. A. (2015). Megastudies, crowdsourcing, and large datasets in psycholinguistics: An overview of recent developments. The Quarterly Journal of Experimental Psychology, 68 (8), 1457–1468. DOI logoGoogle Scholar
Kim, Y., Dykema, J., Stevenson, J., Black, P., & Moberg, D. P. (2019). Straightlining: Overview of measurement, comparison of indicators, and effects in mail–web mixed-mode surveys. Social Science Computer Review, 37 (2), 214–233. DOI logoGoogle Scholar
Krifka, M. (2010). A note on an asymmetry in the hedonic implicatures of olfactory and gustatory terms. In S. Fuchs, P. Hoole, C. Mooshammer, & M. Żygis (Eds.), Between the regular and the particular in speech and language (pp. 235–245). Peter Lang.Google Scholar
Lakoff, G., & Johnson, M. (1980). Metaphors we live by. University of Chicago Press.Google Scholar
Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104 (2), 211. DOI logoGoogle Scholar
Lenci, A. (2008). Distributional semantics in linguistic and cognitive research. Italian Journal of Linguistics, 20 (1), 1–31.Google Scholar
(2018). Distributional models of word meaning. Annual Review of Linguistics, 4 1, 151–171. DOI logoGoogle Scholar
Leung, A. K. -y., Kim, S., Polman, E., Ong, L. S., Qiu, L., Goncalo, J. A., & Sanchez-Burks, J. (2012). Embodied metaphors and creative “acts.” Psychological Science, 23 (5), 502–509. DOI logoGoogle Scholar
Levinson, S. C., & Majid, A. (2014). Differential ineffability and the senses. Mind & Language, 29 (4), 407–427. DOI logoGoogle Scholar
Lund, K., & Burgess, C. (1996). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, 28 (2), 203–208. DOI logoGoogle Scholar
Lynott, D., & Connell, L. (2009). Modality exclusivity norms for 423 object properties. Behavior Research Methods, 41 (2), 558–564. DOI logoGoogle Scholar
(2013). Modality exclusivity norms for 400 nouns: The relationship between perceptual experience and surface word form. Behavior Research Methods, 45 (2), 516–526. DOI logoGoogle Scholar
Lynott, D., Connell, L., Brysbaert, M., Brand, J., & Carney, J. (2019). The Lancaster Sensorimotor Norms: Multidimensional measures of perceptual and action strength for 40,000 English words. Behavior Research Methods, 1–21. DOI logoGoogle Scholar
Medler, D. A., Arnoldussen, A., Binder, J. R., & Seidenberg, M. S. (2005). The Wisconsin perceptual attribute ratings database. Retrieved from [URL]
Müller, C. (2008). Metaphors dead and alive, sleeping and waking: A dynamic view. University of Chicago Press. DOI logoGoogle Scholar
Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The measurement of meaning. University of Illinois Press.Google Scholar
Paivio, A., Yuille, J. C., & Madigan, S. A. (1968). Concreteness, imagery, and meaningfulness values for 925 nouns. Journal of Experimental Psychology, 76 (1p2), 1. DOI logoGoogle Scholar
Popova, Y. (2005). Image schemas and verbal synaesthesia. In B. Hampe (Ed.), From perception to meaning: Image schemas in cognitive linguistics (Vol. 291, pp. 395–419). Mouton de Gruyter. DOI logoGoogle Scholar
Prandi, M. (2017). Conceptual conflicts in metaphors and figurative language. Routledge. DOI logoGoogle Scholar
R Core Team. (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing.Google Scholar
Ronga, I. (2016). Taste synaesthesias: Linguistic features and neurophysiological bases. In E. Gola & F. Ervas (Eds.), Metaphor and Communication (pp. 47–60). John Benjamins. DOI logoGoogle Scholar
Scott, G. G., Keitel, A., Becirspahic, M., Yao, B., & Sereno, S. C. (2019). The Glasgow Norms: Ratings of 5,500 words on nine scales. Behavior Research Methods, 51 (3), 1258–1270. DOI logoGoogle Scholar
Shen, Y. (1997). Cognitive constraints on poetic figures. Cognitive Linguistics, 8 (1), 33–72. DOI logoGoogle Scholar
Stadtlander, L. M., & Murdoch, L. D. (2000). Frequency of occurrence and rankings for touch-related adjectives. Behavior Research Methods, Instruments, & Computers, 32 (4), 579–587. DOI logoGoogle Scholar
Strik Lievers, F. (2015). Synaesthesia: A corpus-based study of cross-modal directionality. Functions of Language, 22 (1), 69–95. DOI logoGoogle Scholar
(2017). Figures and the senses. Review of Cognitive Linguistics, 15 (1), 83–101. DOI logoGoogle Scholar
Ullmann, S. (1959). The principles of semantics. Jackson, Son & Co.Google Scholar
Vecchi, E. M., Marelli, M., Zamparelli, R., & Baroni, M. (2017). Spicy adjectives and nominal donkeys: Capturing semantic deviance using compositionality in distributional spaces. Cognitive Science, 41 (1), 102–136. DOI logoGoogle Scholar
Viberg, Å. (1983). The verbs of perception: A typological study. Linguistics, 21 (1), 123–162. DOI logoGoogle Scholar
Wan, M., Ahrens, K., Chersoni, E., Jiang, M., Su, Q., Xiang, R., & Huang, C.-R. (2020). Using conceptual norms for metaphor detection. Proceedings of the Second Workshop on Figurative Language Processing, 104–109. DOI logoGoogle Scholar
Wan, M., Xing, B., Qi Su Liu, P., & Huang, C.-R. (2020). Sensorimotor enhanced neural network for metaphor detection. Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 312–317.Google Scholar
Warriner, A. B., Kuperman, V., & Brysbaert, M. (2013). Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior Research Methods, 45 (4), 1191–1207. DOI logoGoogle Scholar
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., & Hester, J. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4 (43), 1686. DOI logoGoogle Scholar
Williams, J. M. (1976). Synaesthetic adjectives: A possible law of semantic change. Language, 52 (2), 461–478. DOI logoGoogle Scholar
Winter, B. (2016). Taste and smell words form an affectively loaded and emotionally flexible part of the English lexicon. Language, Cognition and Neuroscience, 31 (8), 975–988. DOI logoGoogle Scholar
(2019a). Sensory linguistics: Language, perception, and metaphor. John Benjamins. DOI logoGoogle Scholar
(2019b). Synaesthetic metaphors are neither synaesthetic nor metaphorical. In L. J. Speed, C. O’Meara, L. San Roque, & A. Majid (Eds.), Perception metaphor. John Benjamins. DOI logoGoogle Scholar
(2021). Managing semantic norms for cognitive linguistics, corpus linguistics, and lexicon studies. In A. L. Berez-Kroeker, B. McDonnell, E. Koller, & L. B. Collister (Eds.), The open handbook of linguistic data management. MIT Press.Google Scholar
Winter, B., Perlman, M., & Majid, A. (2018). Vision dominates in perceptual language: English sensory vocabulary is optimized for usage. Cognition, 179 1, 213–220. DOI logoGoogle Scholar
Winter, B., & Srinivasan, M. (2021). Why is semantic change asymmetric? The role of concreteness and word frequency in metaphor and metonymy. Metaphor and Symbol. DOI logoGoogle Scholar
Zhang, C., & Conrad, F. (2014). Speeding in web surveys: The tendency to answer very fast and its association with straightlining. Survey Research Methods, 8 (2), 127–135. DOI logoGoogle Scholar
Cited by (3)

Cited by three other publications

DiStefano, Paul V., John D. Patterson & Roger E. Beaty
2024. Automatic Scoring of Metaphor Creativity with Large Language Models. Creativity Research Journal  pp. 1 ff. DOI logo
Hartman, Jenny & Carita Paradis
2023. The language of sound: events and meaning multitasking of words. Cognitive Linguistics 34:3-4  pp. 445 ff. DOI logo
Wang, Chao, Juntao Liu, Jingping Liu, Sihang Jiang, Zhixu Li & Yanghua Xiao
2023. Sweet Apple, company? or food? Adjective-centric commonsense knowledge acquisition with taxonomy-guided induction. Knowledge-Based Systems 280  pp. 110988 ff. DOI logo

This list is based on CrossRef data as of 5 july 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.