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Computational Mechanisms for Metaphor in Languages: A Survey

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Abstract

Metaphor computation has attracted more and more attention because metaphor, to some extent, is the focus of mind and language mechanism. However, it encounters problems not only due to the rich expressive power of natural language but also due to cognitive nature of human being. Therefore machine-understanding of metaphor is now becoming a bottle-neck in natural language processing and machine translation. This paper first suggests how a metaphor is understood and then presents a survey of current computational approaches, in terms of their linguistic historical roots, underlying foundations, methods and techniques currently used, advantages, limitations, and future trends. A comparison between metaphors in English and Chinese languages is also introduced because compared with development in English language Chinese metaphor computation is just at its starting stage. So a separate summarization of current progress made in Chinese metaphor computation is presented. As a conclusion, a few suggestions are proposed for further research on metaphor computation especially on Chinese metaphor computation.

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References

  1. Zhou C L. Introduction to Mind Computation. Beijing: Tsinghua University Press, 2003, pp.66–69.

    Google Scholar 

  2. Su D F. Studies in Metaphor. Shanghai: Shanghai Foreign Language Education Press, 2000.

    Google Scholar 

  3. Lakoff G, Johnson M. Metaphors We Live By. Chicago: The University of Chicago Press, 1980.

    Google Scholar 

  4. Gentner D. Structure-mapping: A theoretical framework for analogy. Cognitive Science, 1983, 7(2): 155–170.

    Article  Google Scholar 

  5. Falkenhainer B, Forbus K D, Gentner D. The structure-mapping engine: Algorithm and examples. Artificial Intelligence, 1989, 41(90): 1–63.

    Article  MATH  Google Scholar 

  6. Lakoff G. The Contemporary Theory of Metaphor. Metaphor and Thought, 2nd Edition. Cambridge: Cambridge University Press, Ortony A (ed.), 1993, pp.202–251.

    Google Scholar 

  7. Ahrens K. When love is not digested: Underlying reasons for source to target domain pairing in the contemporary theory of metaphor. In Proc. 1st Cognitive Linguistics Conference, Taipei, 2002, pp.273–302.

  8. Ahrens K, Huang C R, Chung S F. Conceptual metaphors: Ontology-based representation and corpora driven mapping principles. In Proc. ACL Workshop on Lexicon and Figurative Language, Sapporo, Japan. 2003, pp.35–41.

  9. Searle J R. Metaphor. Metaphor and Thought, 2nd Edition, Ortony A (ed.), Cambridge: Cambridge University Press, 1993, pp.83–111.

    Google Scholar 

  10. Feng G Y. History of Chinese Figuration Research. Wuhan: Hubei Education Press, 2001.

    Google Scholar 

  11. Feng X H. Metaphor—Foundation of Mind Framework of Discourse. Bejing: University of International Business and Economics Press, 2004.

    Google Scholar 

  12. Lin S W. A review of research on English metaphor. Journal of Foreign Language Teaching and Research, 1997, pp.1–12.

  13. Hu Z L. Cognitive Metaphors. Beijing: Peking University Press, 2004.

    Google Scholar 

  14. Tang Z Q. Studies on metaphor comprehension mechanisms [Dissertation]. Beijing Normal University, Beijing, 1998.

  15. Fan W F. Research on Metaphor. Beijing: Foreign Language Teaching and Research Press, 2001.

    Google Scholar 

  16. Yu N. The contemporary theory of metaphor: A perspective from Chinese. Amsterdam: John Benjamins Publishing Company, 1998.

    Google Scholar 

  17. Yu N. Figurative uses of finger and palm in Chinese and English. Metaphor and Symbol, 2000, 15(3): 159–175.

    Article  Google Scholar 

  18. Yang Y, Zhou C L. Research on machine understanding-based classification of Chinese metaphor. Journal of Chinese Information Processing, 2004, 18(4): 31–36.

    Article  Google Scholar 

  19. Dai S X, Zhou C L. Computational model of metaphor and its application in metaphorical classification. Journal of Computer Science, 2005, 32(5): 159–166.

    Google Scholar 

  20. Dai S X. Computational research on Chinese metaphor classification and recognition [Thesis]. Department of Computer Science, Xiamen University, Xiamen, 2005.

  21. Zhang W. Study on meta-anaphora resolution and metaphor comprehension in discourse understanding [Dissertation]. College of Computer Science and Technology, Zhejiang University, Hangzhou, 2003.

  22. Zhang W, Zhou C L. Study on logical description of Chinese metaphor comprehension. Journal of Chinese Information Processing, 2004, 18(4): 23–28.

    Google Scholar 

  23. Huang X X. A logical approach for metaphor understanding. In Proc. 2005 IEEE Int. Conf. Natural Language Processing and Knowledge Engineering, 2005, pp.268–271.

  24. Huang X X. Emotional metaphors for emotion recognition in Chinese text. In Proc. ACII 2005, LNCS 3784, Tao J, Tan T, Picard R W (eds.), 2005, pp.319–325.

  25. Wang X M. A new classification based on machine understanding for Chinese similes [Dissertation]. Department of Chinese, Xiamen University, Xiamen, 2005.

  26. Holyoak K J, Thagard P. Analogical mapping by constraint satisfaction. Cognitive Science, 1989, 13: 295–355.

    Article  Google Scholar 

  27. Nehaniv C L (eds.). Computation for Metaphors, Analogy, and Agent. Springer, 1999.

  28. Resnik P. Selection and information: A class based approach to lexical relationships [Dissertation]. University of Pennsylvania, Pennsylvania, 1993.

  29. Goatly A. The Language of Metaphors. London: Routledge, 1997.

    Google Scholar 

  30. Wilks Y. A preferential pattern-seeking semantics for natural language inference. Artificial Intelligence, 1975, 6(1): 53–74.

    Article  MATH  Google Scholar 

  31. Fass D. Met*: A method for discriminating metonymy and metaphor by computer. Computational Linguistics, 1991, 17(1): 49–90.

    Google Scholar 

  32. Fass D, Wilks Y. Preference Semantics, Ill-Formedness, and metaphor. American Journal of Computational Linguistics. 1983, 9(3–4): 178–187.

    Google Scholar 

  33. Weiner E J. A knowledge representation approach to understanding metaphors. Computational Linguistics, 1984, 10(1): 1–14.

    Google Scholar 

  34. Martin J H. A Computational Model of Metaphor Interpretation. Academic Press, Boston, 1990.

    MATH  Google Scholar 

  35. Martin J H. Representing UNIX domain metaphors. Artificial Intelligence Review, 2000, 14(4–5): 377–401.

    Article  MATH  Google Scholar 

  36. Martin J H. Conventional Metaphor and the Lexicon, in Lexical Semantic and Knowledge Representation. Lecture Notes in Artificial Intelligence, Pustejovsky J, Bergler S (eds.), Berlin: Spring-Verlag, 1992.

    Google Scholar 

  37. Russell S W. Book review: A computational model of metaphor interpretation. Metaphor and Symbolic Activity, 1996, 11(2): 169–174.

    Article  Google Scholar 

  38. Veale T. Metaphor, memory and meaning: Symbolic and connectionist issues in metaphor interpretation [Dissertation]. Trinity College, Dublin, 1995.

  39. Sun R. A microfeature based approach towards metaphor interpretation. In Proc. The International Joint Conference on Artificial Intelligence (IJCAI’95), California, Morgan Kaufmann, 1995, pp.424–430.

  40. Steinhart E C. The Logic of Metaphor: Analogous Parts of Possible Worlds. Dordrecht: Kluwer Academic Publishers, 2001.

    Google Scholar 

  41. Zhou C L. Metaphor, analogous logic and possible worlds: Interpretation of The Logic of Metaphor by Steinhart. Journal of Foreign Language and Literature Research, 2004, 4(6): 10–12.

    Google Scholar 

  42. D’Hanis I. A logical approach to the analysis of metaphors. Logical and Computational Aspects of Modelbased Reasoning, Magnani L (eds.), Kluwer Academic, Dordrecht. 2002, pp.21–37.

    Google Scholar 

  43. Barnden J A, Lee M G. An implemented context system that combines belief reasoning. Metaphor-Based Reasoning and Uncertainty Handling, Bouquet P (eds.), CONTEXT’99, LNAI 1688, 1999, pp.28–41.

  44. Ritchie D. Statistical Probability as a metaphor for epistemological probability. Metaphor and Symbol, 2003, 18(1): 1–11.

    Article  Google Scholar 

  45. Kintsch W. Metaphor comprehension: A computational theory. Psychonomic Bulletin and Review, July 2000, pp.257–266.

  46. Kintsch W. Predication. Cognitive Science, 2001, 25(2): 173–202.

    Article  Google Scholar 

  47. Mason Z. Corpus-based metaphor extraction system [Dissertation]. Brandeis University, 2002.

  48. Mason Z. CorMet: A computational, corpus-based conventional metaphor extraction system. Computational Linguistics, 2004, 30(1): 23–44.

    Article  Google Scholar 

  49. Fellbaum C. WordNet: An Electronic Lexical Database. Cambridge: MIT Press, 1998.

    MATH  Google Scholar 

  50. Ding Y W. Comparative study on metaphors in eastern and western cultures. Academic Exchange, 2004, 129(12): 159–161.

    Google Scholar 

  51. Dong Z D. Knowledge description: What, how and who? In Proc. Int. Electronic Dictionaries Symp., Tokyo, 1988, p.18.

  52. Dong Z D. Expression of semantic relation and construction of knowledge system. Applied Linguistics, 1998, 7(3): 76–82.

    Google Scholar 

  53. Fillmore C J. The Case for Case. Universals in Linguistic Theory, Bach E, Harms R (eds.), New York: Holt, Rinehart and Winston, 1968, pp.1–88.

    Google Scholar 

  54. Zhou C L. Introduction to Epistemic Logic. Beijing: Tsinghua University Press, 2001.

    Google Scholar 

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Authors and Affiliations

  1. Institute of Artificial Intelligence, Xiamen University, Xiamen, 361005, China

    Chang-Le Zhou & Yun Yang

  2. College of Computer Science, Zhejiang University, Hangzhou, 310027, China

    Xiao-Xi Huang

  3. School of Humanity, Zhejiang University, Hangzhou, 310027, China

    Chang-Le Zhou

Authors
  1. Chang-Le Zhou
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  2. Yun Yang
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  3. Xiao-Xi Huang
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Correspondence to Chang-Le Zhou.

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Supported by the National Natural Science Foundation of China under Grant No. 60373080.

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Zhou, CL., Yang, Y. & Huang, XX. Computational Mechanisms for Metaphor in Languages: A Survey. J Comput Sci Technol 22, 308–319 (2007). https://doi.org/10.1007/s11390-007-9038-2

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