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Vol: 54(68) No: 1 / March 2009 Dynamic Modeling of Natural Language Marius Crisan Department of Computer and Software Engineering, University “Politehnica” of Timisoara, Timisoara, Romania, phone: (+40) 256-403254, e-mail: marius.crisan@cs.upt.ro, web: http://www.cs.utt.ro/~crisan Keywords: natural language processing, dynamic systems, chaos, semantics Abstract The paper discusses the possibility for a new approach in natural language processing based on the deterministic chaotic behavior of dynamical systems. The simulation results proved that at the word level the meaning can be modeled dynamically in a unitary way according to the contribution of the component phonemes. References [1] D. Jurafsky, J. H. Martin, Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Prentice-Hall, 2000. [2] T. Kohonen, \"Self-organizing maps of symbol strings\", Report A42, Helsinki University of Technology, Laboratory of Computer and Information Science, Espoo, Finland, 1996. [3] T. Kohonen, P. Somervuo, \"Self-organizing maps of symbol strings with application to speech recognition\", in Proc. of Workshop on Self-Organizing Maps (WSOM\'97), pp. 2-7, Espoo, Finland, 1997. [4] T. Honkela., \"Self-Organizing Maps in Natural Language Processing\", Espoo, Finland, 1997. [5] M. Crisan, “Meaning as Cognition,” Proceedings of the I International Conference on Multidisciplinary Information Sciences and Technologies-InSciT2006, Merida, Spain, 2006, pp.369-373. [6] D. Bohm, \"A new theory of the relationship of mind and matter,\" Philosophical Psychology, Vol. 3, No. 2, 1990, pp. 271-286. [7] H. G. Coward, The Sphota Theory of Language, Motilal Banarsidass Delhi, 3rd ed. 1997. [8] G. Pulin and X. Jianxue, “On the multiple-attractor coexisting system with parameter uncertainties using generalized cell mapping method,” Journal Applied Mathematics and Mechanics, Vol. 19, No. 12 December, 1998, pp. 1179-1187. [9] T. Kohonen, “Self-organized formation of topologically correct feature maps,” Biological Cybernetics, 43:59–69, 1982. [10] T. Kohonen, Self-Organizing Maps, Springer, Berlin (3rd extended ed. 2001), 1997. [11] P. Somervuo, “Speech Dimensionality Analysis on Hypercubical Self-Organizing Maps,” Neural Processing Letters, Vol. 17-2, April 2003, pp. 125-136. [12] A. Selin, J. Turunen, and J. T. Tanttu, \"Wavelets in Recognition of Bird Sounds,\" EURASIP Journal on Advances in Signal Processing, Vol. 2007, Article ID 51806, 9 pages, doi:10.1155/2007/51806. [13] J. C. Sprott, Strange Attractors: Creating Patterns in Chaos, M & T Books, 1993-09. [14] J. C. Sprott, Chaos and Time-Series Analysis, Oxford University Press, 2003. |