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Language, Languages, and Abstract Concepts

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Part of the SpringerBriefs in Psychology book series (BRIEFSPSYCHOL)

Abstract

The chapter reports further sparse evidence favouring the WAT theory showing that linguistic information plays a major role for the representation of abstract concepts. We start illustrating a computational linguistic study that indicates that a rich linguistic context is more relevant for abstract than for concrete concepts (Recchia and Jones 2012). We then turn to the analysis of examples taken from the Italian Sign Language (LIS) that shows that for signs referring to abstract concepts (e.g., “literature,” “philosophy,” and “truth”), strategies based on the exploitation of language such as initialization are used (Gianfreda et al. in press; Borghi et al., submitted). The larger part of the chapter is dedicated to the review of cross-linguistic studies. The aim of this review is to provide support to one of the main tenets of the WAT proposal, i.e., the hypothesis that abstract concepts are more influenced by linguistic variability. The analysis takes into account concepts that can be considered as progressively more abstract: it starts with studies on concrete objects as containers, then it focuses on motion and locomotion verbs, on spatial relations, and then it turns to studies on abstract entities such as “time” and “number,” and on abstract verbs such as mental states verbs. The evidence reported suggests indeed that the differences between different languages influence more conceptual representation of abstract concepts than of concrete ones.

Keywords

Abstract concepts Abstract words Sign language Linguistic diversity Crosscultural studies Linguistic context 

References

  1. Barsalou, L. W., & Wiemer-Hastings, K. (2005). Situating abstract concepts. In D. Pecher & R. Zwaan (Eds.), Grounding cognition: The role of perception and action in memory, language, and thought (pp. 129–163). New York: Cambridge University Press.CrossRefGoogle Scholar
  2. Bonato, M., Zorzi, M., & Umiltà, C. (2012). When time is space: Evidence for a mental time line. Neuroscience Biobehavioral Review, 36(10), 2257–2273.CrossRefGoogle Scholar
  3. Boroditsky, L. (2001). Does language shape thought? English and Mandarin speakers’ conceptions of time. Cognitive Psychology, 43, 1–22.PubMedCrossRefGoogle Scholar
  4. Boroditsky, L., & Prinz, J. (2008). What thoughts are made of. In G. Semin & E. Smith (Eds.), Embodied grounding: Social, cognitive, affective, and neuroscientific approaches. New York: Cambridge University Press.Google Scholar
  5. Bowerman, M., & Choi, S. (2003). Space under construction: Language-specific spatial categorization in first language acquisition. In D. Gentner & S. Goldin-Meadow (Eds.), Language in mind: Advances in the study of language and thought (pp. 387–427). Cambridge: MIT Press.Google Scholar
  6. Capirci, O., Cattani, A., Rossini, P., & Volterra, V. (1998). Teaching sign language to hearing children as a possible factor in cognitive enhancement. Journal of Deaf Studies and Deaf Education, 3(2), 135–142.PubMedCrossRefGoogle Scholar
  7. Casasanto, D. (2008). Who’s afraid of the big bad Whorf? crosslinguistic differences in temporal language and thought. Language Learning, 58, 63–79.CrossRefGoogle Scholar
  8. Casasanto, D., & Boroditsky, L. (2008). Time in the mind: Using space to think about time. Cognition, 106, 579–593.PubMedCrossRefGoogle Scholar
  9. Chen, J. Y. (2007). Do Chinese and English speakers think about time differently? Failure to replicate Boroditsky (2001). Cognition, 104, 127–136.CrossRefGoogle Scholar
  10. Choi, S., & Bowerman, M. (1991). Learning to express motion events in English and Korean: The influence of language-specific lexicalization patterns. Cognition, 41, 83–121.PubMedCrossRefGoogle Scholar
  11. Choi, S., McDonough, L., Bowerman, M., & Mandler, J. M. (1999). Early sensitivity to language-specific spatial categories in English and Korean. Cognitive Development, 14, 241–268.CrossRefGoogle Scholar
  12. Fischer, M. H., & Brugger, P. (2011). When digits help digits: Spatial–numerical associations point to finger counting as prime example of embodied cognition. Frontiers in Psychology, 2, 260. doi: 10.3389/fpsyg.2011.00260 PubMedCentralPubMedCrossRefGoogle Scholar
  13. Fischer, M. H., Kaufmann, L., & Domahs, F. (2012). Finger counting and numerical cognition. Frontiers in Psychology, 3, 108. doi: 10.3389/fpsyg.2012.00108 PubMedCentralPubMedGoogle Scholar
  14. Flumini, A., & Santiago, J. (2013). Time (also) flies from left to right if it is needed! In M. Knauff, M. Pauen, N. Sebanz, & I. Wachmuz (Eds.), In: Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2315–2320). Austin, TX: Cognitive Science Society.Google Scholar
  15. Fuhrman, O., & Boroditsky, L. (2007). Mental time-lines follow writing direction: Comparing English and Hebrew speakers. In D. S. McNamara & J. G. Trafton (Eds.), Proceedings of the 29th Annual Conference of The Cognitive Science Society (pp. 1001–1007). Austin, TX: Cognitive Science Society.Google Scholar
  16. Gelman, R., & Gallistel, C. R. (2004). Language and the origin of numerical concept. Science, 306, 441–443.PubMedCrossRefGoogle Scholar
  17. Gordon, P. (2004). Numerical cognition without words: Evidence from Amazonia. Science, 306, 496–499.PubMedCrossRefGoogle Scholar
  18. Gennari, S., Sloman, S., Malt, B. C., & Tecumseh Fitch, W. (2002). Motion events in language and cognition. Cognition, 83(1), 49–79.PubMedCrossRefGoogle Scholar
  19. Gentner, D., & Boroditsky, L. (2001). Individuation, relativity and early word learning. In M. Bowerman & S. Levinson (Eds.), Language acquisition and conceptual development (pp. 215–256). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  20. Gianfreda, G. (2011). Analisi conversazionale e indicatori linguistici percettivi e cognitivi nella Lingua dei Segni Italiana (LIS). PhD dissertation, University of Macerata.Google Scholar
  21. Gianfreda, G., Volterra, V., & Zuczkowski, A. (in press). L’espressione dell’incertezza nella Lingua dei Segni Italiana (LIS). Ricerche di pedagogia e didattica. Google Scholar
  22. Gillette, J., Gleitman, H., Gleitman, L., & Lederer, A. (1999). Human simulations of vocabulary learning. Cognition, 73(2), 135–176.PubMedCrossRefGoogle Scholar
  23. Goddard, C. (2003). Thinking across languages and cultures six dimensions of variations. Cognitive Linguistics, 14(2-3), 109–140.CrossRefGoogle Scholar
  24. Goddard, C. (2010). Universals and variation in the lexicon of the mental state concepts. In B. C. Malt & P. Wolff (Eds.), Words and the mind how words capture human experience (pp. 72–92). Oxford: Oxford University Press.Google Scholar
  25. Lupyan, G. (2012). What do words do? Toward a theory of language-augmented thought. In B. H. Ross (Ed.), The psychology of learning and motivation, (Vol. 57, pp. 255–297). New York: Academic Press. Google Scholar
  26. Malt, B., Gennari, S., Imai, M., Ameel, E., Tsuda, N., & Majid, A. (2008). Talking about walking biomechanics and the language of locomotion. Psychological Science, 19, 232–240.PubMedCrossRefGoogle Scholar
  27. Malt, B. C., Sloman, S. A., Gennari, S., Shi, M., & Wang, Y. (1999). Knowing versus naming: Similarity and the linguistic categorization of artifacts. Journal of Memory and Language, 40(2), 230–262.Google Scholar
  28. Malt, B. C., & Wolff, P. (2010). Words and the mind. How words capture new experience. New York: Oxford University Press.Google Scholar
  29. Malt, B., Gennari, S., & Imai, M. (2010). Lexicalization patterns and the world to words mapping. In B. C. Malt & P. Wolff (Eds.), Words and the mind. How words capture new experience (pp. 29–57). New York: Oxford University Press.Google Scholar
  30. Marques, F. J., & Nunes, L. D. (2012). The contribution of language and experience to the representation of abstract and concrete words: Different weights but similar organization. Memory and Cognition, 40(8), 1266–1275.PubMedCrossRefGoogle Scholar
  31. McRae, K., Cree, G. S., Seidenberg, M. S., & McNorgan, C. (2005). Semantic feature production norms for a large set of living and nonliving things. Behavior Research Methods, 37, 547–559.PubMedCrossRefGoogle Scholar
  32. Núñez, R. E., & Sweetser, E. (2006). With the future behind them: Convergent evidence from Aymara language and gesture in the crosslinguistic comparison of spatial construals of time. Cognitive Science, 30, 401–450.PubMedCrossRefGoogle Scholar
  33. Ouellet, M., Santiago, J., Israeli, Z., & Gabay, S. (2010). Is the future the right time? Experimental Psychology, 57(4), 308–314.PubMedCrossRefGoogle Scholar
  34. Pica, P., Lemer, C., Izard, V., & Dehaene, S. (2004). Exact and approximate arithmetic in an amazonian indigene group. Science, 306, 499–501.PubMedCrossRefGoogle Scholar
  35. Paivio, A. (1986). Mental representations: A dual coding approach. New York: Oxford University Press.Google Scholar
  36. Recchia, G., & Jones, M. N. (2012). The semantic richness of abstract concepts. Frontiers in Human Neuroscience, 6, 315. doi: 10.3389/fnhum.2012.00315 PubMedCentralPubMedCrossRefGoogle Scholar
  37. Roversi, C., Borghi, A. M., & Tummolini, L. (2013). A marriage is an artefact and not a walk that we take together: An experimental study on the categorization of artefacts. Review of Philosophy and Psychology, 4(3), 527–542.CrossRefGoogle Scholar
  38. Roush, D. R. (2011). Language between bodies: A cognitive approach to understanding linguistic politeness in American sign language. Sign Language Studies, 11(3), 329–374.CrossRefGoogle Scholar
  39. Russo, P. (2005). A crosslinguistic, cross-cultural analysis of metaphors. Sign Language Studies, 5, 333–359.CrossRefGoogle Scholar
  40. Santiago, J., Lupiáñez, J., Pérez, E., & Funes, M. J. (2007). Time (also) flies from left to right. Psychonomic Bulletin and Review, 14, 512–516.PubMedCrossRefGoogle Scholar
  41. Santiago, J., Román, A., & Ouellet, M. (2011). Flexible foundations of abstract thought: A review and a theory. In A. Maass & T. W. Schubert (Eds.), Spatial dimensions of social thought (pp. 41–110). Berlin: Mouton de Gruyter.Google Scholar
  42. Sell, A. J., & Kaschak, M. P. (2011). Processing time shifts affects the execution of motor responses. Brain and Language, 117, 39–44.PubMedCrossRefGoogle Scholar
  43. Slobin, D. (1987). Thinking for speaking. In Proceedings of the Berkeley Linguistic Society, 13, 435–445.Google Scholar
  44. Slobin, D. (1996). From “thought and language” to “thinking for speaking”. In J. Gumperz & S. Levinson (Eds.), Rethinking linguistic relativity (pp. 70–96). Cambridge: Cambridge University Press.Google Scholar
  45. Sloman, S. A., Malt, B. C., & Fridman, A. (2001). Categorization versus similarity: The case of container names. In U. Hahn & M. Ramscar (Eds.), Similarity and categorization (pp. 73–86). New York: Oxford University Press.Google Scholar
  46. Volterra, V. (1987, new edition 2004). La lingua Italiana dei segni (LIS). Bologna: Il Mulino.Google Scholar
  47. Whorf, B. (1956). In J. B. Carroll (Ed.), Language, thought, and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.Google Scholar
  48. Whorf, B. L. (2000). The relation of habitual thought and behavior to language. In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf (pp. 134–159). Cambridge, MA: MIT Press. (Original work published 1939).Google Scholar
  49. Wu, L. L., & Barsalou, L. W. (2009). Perceptual simulation in conceptual combination: evidence from property generation. Acta Psychologica, 132, 173–189.PubMedCrossRefGoogle Scholar

Copyright information

© The Author(s) 2014

Authors and Affiliations

  1. 1.PsychologyUniversity of BolognaBolognaItaly
  2. 2.Institute of Cognitive Sciences and TechnologiesItalian National Research CouncilRomeItaly
  3. 3.RWTH Aachen UniversityAachenGermany

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