Skip to main content
SpringerLink
Log in

Computing with Words and Systemic Functional Linguistics: Linguistic Data Summaries and Natural Language Generation

  • Chapter
Integrated Uncertainty Management and Applications

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 68))

Abstract

We briefly consider systemic functional linguistics, notably in its natural language generation perspective. We analyze our recent works (notably Kacprzyk and Zadroÿzny [18]) in which a new relation between our recent works on linguistic data summaries, based on fuzzy logic an computing with words, was indicated.We advocate the use of the philosophy and some more constructive and implementable core elements of systemic functional linguistics to an automatic generation of protoform based linguistic data summaries, and indicate main challenges and opportunities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bateman, J., Matthiessen, C.: The text base in generation. In: Hao, K., Bluhme, H., Li, R. (eds.) Proceedings of the International Conference on Texts and Language Research, pp. 3–46. Xi’an Jiaotong University Press, Xi’an

    Google Scholar 

  2. Change, M.-S., Kobayashi, I., Sugeno, M.: An approach to processing meaning in Computing with Texts. In: Proceedings of FUZZ-IEEE 1999, Seoul, vol. 2, pp. 1148–1152 (1999)

    Google Scholar 

  3. Fawcett, R.: Generating a sentence in systemic functional grammar. In: Halliday, M.A.K., Martin, J.R. (eds.) Readings in Systemic Linguistics. Batsford, London (1973)

    Google Scholar 

  4. von Fintel, K.: Modality and Language. In: Borchert, D.M. (ed.) Encyclopedia of Philosophy, 2nd edn. MacMillan Reference, Detroit (2006)

    Google Scholar 

  5. Halliday, M.A.K.: An Introduction to Functional Grammar. Edward Arnold, London (1985)

    Google Scholar 

  6. Halliday, M.A.K., Matthiessen, C.: Construing Experience as Meaning: A Language-based Approach to Cognition. Cassell, London (1999)

    Google Scholar 

  7. Henrici, A.: Notes on the systemic generation of a paradigm of the English clause, Technical report, O.S.T.I. Programme in the Linguistic Properties of Scientific English (1965); Reprinted in Halliday M.A.K., Martin J.R. (eds.) Readings in Systemic Linguistics. Batsford, London (1981)

    Google Scholar 

  8. Herrera, F., Herrera-Viedma, E.: Linguistic decision analysis: Steps for solving decision problems under linguistic information. Fuzzy Sets and Systems 115, 67–82 (2000)

    Google Scholar 

  9. Ito, N., Sugimoto, T., Takahashi, Y., Iwashita, S., Sugeno, M.: Computational models of language within context and context-sensitive language understanding. Journal of Advanced Computational Intelligence and Intelligent Informatics 10, 782–790 (2006)

    Google Scholar 

  10. Kacprzyk, J., Wilbik, A., Zadrożny, S.: Linguistic summarization of time series under different granulation of describing features. In: Kryszkiewicz, M., Peters, J.F., Rybiński, H., Skowron, A. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 230–240. Springer, Heidelberg (2007)

    Google Scholar 

  11. Kacprzyk, J., Zadrożny, S.: FQUERY for Access: Fuzzy querying for a Windows-based DBMS. In: Bosc, P., Kacprzyk, J. (eds.) Fuzziness in Database Management Systems, pp. 415–433. Physica-Verlag, Heidelberg (1995)

    Google Scholar 

  12. Kacprzyk, J., Zadrożny, S.: CWW in intelligent database querying: standalone and Internet-based applications. Information Sciences 34, 71–109 (2001)

    Google Scholar 

  13. Kacprzyk, J., Yager, R.: Linguistic summaries of data using fuzzy logic. International Journal of General Systems 30, 133–154 (2001)

    Google Scholar 

  14. Kacprzyk, J., Yager, R., Zadrożny, S.: A fuzzy logic based approach to linguistic summaries of databases. International Journal of Applied Mathematics and Computer Science 10, 813–834 (2000)

    Google Scholar 

  15. Kacprzyk, J., Ziółkowski, A.: Database queries with fuzzy linguistic quantifiers. IEEE Transactions on Systems, Man and Cybernetics 16, 469–479 (1986)

    Google Scholar 

  16. Kacprzyk, J., Zadrożny, S.: Linguistic database summaries and their protoforms: Towards natural language based knowledge discovery tools. Information Sciences 173, 281–304 (2005)

    Google Scholar 

  17. Kacprzyk, J., Zadrożny, S.: Protoforms of linguistic database summaries as a human consistent tool for using natural language in data mining. International Journal of Software Science and Computational Intelligence 1, 100–111 (2009)

    Google Scholar 

  18. Kacprzyk, J., Zadrożny, S.: Computing with words is an implementable paradigm: Fuzzy queries, linguistic data summaries and natural language generation. IEEE Transactions on Fuzzy Systems (in press)

    Google Scholar 

  19. Kacprzyk, J., Zadrożny, S.: On a fuzzy querying and data mining interface. Kybernetika 36, 657–670 (2000)

    Google Scholar 

  20. Kacprzyk, J., Zadrożny, S.: Data mining via linguistic summaries of databases: an interactive approach. In: Ding, L. (ed.) A New Paradigm of Knowledge Engineering by Soft Computing, pp. 325–345. World Scientific, Singapore (2001)

    Google Scholar 

  21. Kobayashi, I., Sugeno, M.: An approach to everyday language computing – An application to the forecast of atmospheric pressure distribution. International Journal of Computational Intelligence 13, 623–640 (1998)

    Google Scholar 

  22. Kobayashi, I.: Toward text based information processing: with an example of natural language modeling of a line chart. In: Proceedings of IEEE-SMC 1999, Tokyo, vol. 5, pp. 202–207 (1999)

    Google Scholar 

  23. Kobayashi, I., Sugeno, M., Sugimoto, T., Ito, N., Iwazume, M., Takahashi, Y.: Everyday-language computing project overview. Journal of Advanced Computational Intelligence and Intelligent Informatics 10, 773–781 (2006)

    Google Scholar 

  24. Matthiessen, C.: The systemic framework in text generation: Nigel. In: Benson, J., Greaves, W. (eds.) Systemic Perspectives on Discourse, Ablex, Norwood (1985)

    Google Scholar 

  25. Matthiessen, C., Bateman, J.A.: Text generation and systemic-functional linguistics: experiences from English and Japanese. Pinter, New York (1991)

    Google Scholar 

  26. Matthiessen, C.: Fuzziness construed in language: a linguistic perspective. In: Proceedings of FUZZ-IEEE/IFES 1995, Yokohama, pp. 1871–1878 (1995)

    Google Scholar 

  27. Mendel, M.: CWW and its relationships with fuzzistics. Information Sciences 177, 988–1006 (2007)

    Article  MathSciNet  Google Scholar 

  28. Portet, F., Reiter, E., Gatt, A., Hunter, J., Sripada, S., Freer, Y., Sykes, C.: Automatic generation of textual summaries from neonatal intensive care data. Artificial Intelligence 173, 789–816 (2009)

    Article  Google Scholar 

  29. Reiter, E., Dale, R.: Building Natural Language Generation Systems. Cambridge University Press, Cambridge (2000)

    Google Scholar 

  30. Ravelli, L., Davies, M. (eds.): Advances in Systemic-Functional Linguistics: Recent Theory and Practice. Pinter, London (1992)

    Google Scholar 

  31. Ravelli, L.: Systemic-Functional Linguistics. In: Malmkjaer, K. (ed.) The Routledge Linguistics Encyclopedia, 3rd edn., pp. 524–537. Routledge, London (2010)

    Google Scholar 

  32. Sripada, S., Reiter, E., Davy, I.: SumTime-Mousam: configurable marine weather forecast generator. Expert Update 6, 4–10 (2003)

    Google Scholar 

  33. Teich, E.: Systemic Functional Grammar in Natural Language Generation: Linguistic Description and Computational Representation. Cassell Academic, London (1999)

    Google Scholar 

  34. Trillas, E.: On the use of words and fuzzy sets. Information Sciences 176, 1463–1487 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  35. Türksen, I.B.: Meta-linguistic axioms as a foundation for computing with words. Information Sciences 177, 332–359 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  36. Yager, R.: A new approach to the summarization of data. Information Sciences 28, 69–86 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  37. Yager, R.: On ordered weighted averaging operators in multicriteria decision making. IEEE Trans. on Systems, Man and Cybern. 18, 183–190 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  38. Yager, R.: Database discovery using fuzzy sets. International Journal of Intelligent Systems 11, 691–712 (1996)

    Article  Google Scholar 

  39. Zadeh, L.A.: A computational approach to fuzzy quantifiers in natural languages. Computers and Maths with Appls., 9, 149–184 (1983)

    Article  MATH  MathSciNet  Google Scholar 

  40. Zadeh, L.A.: Fuzzy logic = CWW. IEEE Transactions on Fuzzy Systems 4, 103–111 (1996)

    Article  Google Scholar 

  41. Zadeh, L.A., Kacprzyk, J. (eds.): CWW in Information/Intelligent Systems, vol. 1 foundations, vol. 2. Apllications. Physica-Verlag, Heidelberg (1999)

    Google Scholar 

  42. Zadrożny, S., Kacprzyk, J.: Summarizing the contents of web server logs: a fuzzy linguistic approach. In: Proceedings of FUZZ-IEEE 2007, London, UK, pp. 100–105 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk & Sławomir Zadrożny

Authors
  1. Janusz Kacprzyk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sławomir Zadrożny
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Knowledge Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, 923-1292, Ishikawa, Japan

    Van-Nam Huynh  & Yoshiteru Nakamori  & 

  2. Department of Engineering Mathematics, University of Bristol, Queen’s Building, University Walk, BS8 1TR, Bristol, United Kingdom

    Jonathan Lawry

  3. Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, 560-8531, Osaka, Japan

    Masahiro Inuiguchi

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kacprzyk, J., Zadrożny, S. (2010). Computing with Words and Systemic Functional Linguistics: Linguistic Data Summaries and Natural Language Generation. In: Huynh, VN., Nakamori, Y., Lawry, J., Inuiguchi, M. (eds) Integrated Uncertainty Management and Applications. Advances in Intelligent and Soft Computing, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11960-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-11960-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11959-0

  • Online ISBN: 978-3-642-11960-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation