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JACIII Vol.10 No.6 pp. 773-781
doi: 10.20965/jaciii.2006.p0773
(2006)

Review:

Everyday-Language Computing Project Overview

Ichiro Kobayashi*, Michio Sugeno**, Toru Sugimoto***,
Shino Iwashita****, Noriko Ito**, Michiaki Iwazume*****,
and Yusuke Takahashi******

*Ochanomizu University, 2-1-1 Ootsuka, Bunkyo-ku, Tokyo 112-8610, Japan

**Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan

***Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan

****Tokyo University of Technology, 1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan

*****National Institute of Information and Communications Technology

******Justsystem Corporation, Aoyama bldg., 1-2-3 Kita-Aoyama, Minato-ku, Tokyo 107-8640, Japan

Received:
January 29, 2006
Accepted:
February 28, 2006
Published:
November 20, 2006
Keywords:
everyday language computing, systemic functional linguistics, semiotic base, text understanding and generation, language-based application systems
Abstract
This paper explains an overview of everyday language computing (ELC) promoted by the Laboratory for Language-Based Intelligent Systems, Brain Science Institute, RIKEN from 2000 to 2005. The objective of ELC was to develop a language-based intelligent system. To do this, we constructed a computational model of language in context, called the Semiotic Base, and developed computational algorithms for text understanding and generation, which are basic information processing in the ELC framework. Based on these resources and algorithms, we constructed a computing environment in which language is used as an information medium to process information. To demonstrate its feasibility, we developed language-based applications such as a language-based wordprocessor, language-based programming, and “smart” help. We explain the basic principles of ELC, outline of its basic technologies, and discuss applications developed based on the ELC framework.
Cite this article as:
I. Kobayashi, M. Sugeno, T. Sugimoto, S. Iwashita, N. Ito, M. Iwazume, and Y. Takahashi, “Everyday-Language Computing Project Overview,” J. Adv. Comput. Intell. Intell. Inform., Vol.10 No.6, pp. 773-781, 2006.
Data files:
References
  1. [1] M. A. K. Halliday, “An Introduction to Functional Grammar,” Edward Arnold, 1985.
  2. [2] M. A. K. Halliday, “Computing meanings: some reflections on past experience and present prospects,” The 2nd Conf. of the Pacific Association for Computational Linguistics, Brisbane, April, 1995, pp. 19-22.
  3. [3] M. A. K. Halliday, “Language as social semiotic,” Edward Arnold, London, 1978.
  4. [4] M. A. K. Halliday and C. Matthiessen, “Construing Experience Through Meaning: A Language-Based Approach to Cognition,” (Open Linguistics Series), Cassell Academic, 1999.
  5. [5] I. Kobayashi, T. Sugimoto, S. Iwashita, M. Iwazume, J. Ozawa, and M. Sugeno, “A New Communication Method Using Natural Language as a Computer Communication Protocol,” Journal of Advanced Computational Intelligence, Vol.3, No.2, pp. 215-222, 2003.
  6. [6] S. Iwashita, T. Sugimoto, N. Ito, I. Kobayashi, M. Iwazume, Y. Takahashi, and M. Sugeno, “A Client Model in Everyday Language Computing,” 1st International Conference on Soft Computing and Intelligent Systems, Tsukuba, Japan, 24B1-2, Oct., 2002.
  7. [7] T. Sugimoto, N. Ito, H. Fujishiro, and M. Sugeno, “Dialogue Management with the Semiotic Base: A Systemic Functional Linguistic Approach,” Proc. 1st International Conference on Soft Computing and Intelligent Systems (SCIS&ISIS 2002), 24B1-3, 2002.
  8. [8] M. Iwazume, I. Kobayashi, T. Sugimoto, S. Iwashita, and M. Sugeno, “Everyday Language Computing (Second Report) –Toward Language-based Computational Environment–,” the 16th Annual Conference of Japanese Society for Artificial Intelligence, 3B1-01, 2002 (in Japanese).
  9. [9] S. Iwashita, I. Kobayashi, N. Ito, T. Sugimoto, and M. Sugeno, “Personalization of Help System Output in the framework of Everyday Language Computing,” 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES’03), University of Oxford, United Kingdom, pp. 439-445, Sep., 2003.
  10. [10] N. Ito, T. Sugimoto, and M. Sugeno, “A Systemic-Functional Approach to Japanese Text Understanding,” Proc. of the 5th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing2004), pp. 26-37, 2004.
  11. [11] M. Iwazume, I. Kobayashi, Y. Takahashi, and M. Sugeno, “A Study on Semantic Matching for Natural Language Mediated Software Control and Management,” Proc. 17th Annual Conference of the Japanese Society for Artificial Intelligence, 3B1-02, 2003 (in Japanese).
  12. [12] T. Sugimoto, M. Iwazume, I. Kobayashi, N. Ito, Y. Takahashi, S. Iwashita, and M. Sugeno, “Everyday Language Application Systems with the Semiotic Base,” Proc. 17th Annual Conference of the Japanese Society for Artificial Intelligence, 2G2-09, 2003 (in Japanese).
  13. [13] Y. Takahashi, I. Kobayashi, M. Iwazume, N. Ito, and M. Sugeno, “The Contents and Structure of the Context Base, and its Application,” J. L. Vicedo, P. Martinez-Barco, R. Munoz, and M. S. Noeda (Eds.), “Advances in Natural Language Processing,” 4th International Conference, EsTAL 2004, Alicante, Spain, October 20-22, 2004, Proceedings, Lecture Notes in Artificial Intelligence 3230, Springer-Verlag, pp. 103-114.
  14. [14] S. Iwashita, N. Ito, T. Sugimoto, I. Kobayashi, and M. Sugeno, “Everyday Language Help System Based on Software Manual,” IEEE SMC 2004, pp. 3635-3640, Hague, Netherlands, Oct., 2004.
  15. [15] T. Sugimoto, N. Ito, S. Iwashita, and M. Sugeno, “Script Generation using Rhetorical Information in a Task Specification Text,” Proc. International Conference on Systems, Man and Cybernetics (IEEE SMC 2004), pp. 2687-2692, 2004.
  16. [16] N. Ito, T. Sugimoto, S. Iwashita, I. Kobayashi, and M. Sugeno, “A Model of Rhetorical Structure Analysis of Japanese Instructional Texts and its Application to a Smart Help System,” Proc. of the 2004 IEEE International Conference on Systems, Man and Cybernetics 2004 (SMC 2004), pp. 3635-3640, 2004.
  17. [17] M. Iwazume, I. Kobayashi, and M. Sugeno, “Natural Language mediated software control,” Proc. of the 2004 IEEE International Conference on Systems, Man and Cybernetics 2004 (SMC 2004), pp. 5560-5566, 2004.
  18. [18] N. Ito, T. Sugimoto, S. Iwashita, M. Iwazume, Y. Takahashi, I. Kobayashi, and M. Sugeno, “Everyday Language Application Systems with the Semiotic Base (Part 2),” Proc. of the 18th Annual Conference of the Japanese Society for Artificial Intelligence, 2C1-05, 2004 (in Japanese).
  19. [19] Y. Takahashi and I. Kobayashi, “Text Generation Using Contextual Information,” In Proceeding of the Pacific Association for Computational Linguistics (Pacling2005), Tokyo, Aug. 25-26, 2005.
  20. [20] I. Kobayashi and M. Sugeno, “Review of the Basic Framework for Language Protocol Communication Method,” the 19th Annual Conference of Japanese Society for Artificial Intelligence, 1B1-02, 2005 (in Japanese).
  21. [21] M. Iwazume, I. Kobayashi, Y. Takahashi, T. Sugimoto, S. Iwashita, N. Ito, and M. Sugeno, “Natural Language-based Application Service Integration,” the 19th Annual Conference of Japanese Society for Artificial Intelligence, 1B1-02, 2005 (in Japanese).
  22. [22] T. Sugimoto, N. Ito, S. Iwashita, and M. Sugeno, “A Computational Framework for text Processing Based on Systemic Functional Linguistics,” Proc. of the 1st Computational Systemic Functional Grammar Conference, pp. 2-11, Sydney, 2005.
  23. [23] Y. Takahashi, S. Iwashita, N. Ito, M. Iwazume, T. Sugimoto, I. Kobayashi, and M. Sugeno, “The Outline of RIKEN corpus and an example of its use,” The Tenth Annual Meeting of the Association for Natural Language Processing, Tokyo, Mar., 2004.
  24. [24] “Research Report,” Laboratory for Language-Based Intelligent Systems, Brain-Style Intelligence Research Group, Creating the Brain BRAIN SCIENCE INSTITUTE, RIKEN, 2005.
  25. [25] M. O’Donnell, “Systemic Coder: a text markup tool, ver. 4.6,” 2002, Retrieved on October 20, 2004.
    http://www.wagsoft.com/Coder/index.html

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