Abstract
The paper describes an application of evolvable fuzzy neural networks for artificial creativity in linguistics, which consists of the intelligent mechanisms of affix and root morpheme creativity and analysis. The task of the creation of an English vocabulary was resolved with neural networks which have an evolvable architecture with learning capabilities as well as a fuzzy connectionist structure. The paper features a form of artificial creativity which creates words on its own using genetic algorithms, fuzzy logic methods, and multiple layer neural networks. A review of selected issues is carried out with regards to linguistic creativity as well as spontaneous language production. The paper also presents experimental results of affix and root morpheme recognition in the context of word meaning analysis.
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References
Taylor, N., Taylor, J.: The Neural Networks for Language in the Brain: Creating LAD. In: Computational Models for Neuroscience, pp. 245–265. Springer, London (2003)
Kacalak, W., Stuart, K., Majewski, M.: Intelligent Natural Language Processing. In: Jiao, L., Wang, L., Gao, X.-b., Liu, J., Wu, F. (eds.) ICNC 2006. LNCS, vol. 4221, pp. 584–587. Springer, Heidelberg (2006)
Stuart, K., Majewski, M.: Selected Problems of Knowledge Discovery Using Artificial Neural Networks. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds.) ISNN 2007. LNCS, vol. 4493, pp. 1049–1057. Springer, Heidelberg (2007)
Stuart, K., Majewski, M.: A New Method for Intelligent Knowledge Discovery. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds.) IFSA 2007. LNCS (LNAI), vol. 4529, pp. 721–729. Springer, Heidelberg (2007)
Back, T., Fogel, D., Michalewicz, Z.: Handbook of Evolutionary Computation. Oxford University Press, New York (1997)
Goldberg, D.E.: Genetic Algorithms in Search, Optimisation and Machine Learning. Addison-Wesley, Reading (1989)
GAlib: A C++ Library of Genetic Algorithm Components. Massachusetts Institute of Technology, Cambridge (1996), http://lancet.mit.edu/ga/
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Stuart, K.D., Majewski, M. (2008). Evolvable Neuro-fuzzy System for Artificial Creativity in Linguistics. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_6
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DOI: https://doi.org/10.1007/978-3-540-85984-0_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85983-3
Online ISBN: 978-3-540-85984-0
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