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Suprasymbolic Grammar Induction by Recurrent Self-Organizing Maps

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Grammatical Inference: Algorithms and Applications (ICGI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4201))

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Abstract

A preliminary experimental result is reported on language identification tasks by Recurrent Self-Organization Maps (RSOM) with a context map layer, using English part-of-speech strings of variable length. With subsymbolic processing, RSOM suprasymbolically sublimed syntactic rules into a topological configuration.

The research reported here is partially supported by a 21st COE Program (#J19), granted to Kyushu Institute of Technology, by MEXT, Japan. The standard disclaimers apply.

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References

  1. Gold, E.M.: Language Identification in the Limit. Information and Control 10, 447–474 (1967)

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  2. Kohonen, T.: Self-Organizing Maps. Springer, Heidelberg (1995)

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Author information

Authors and Affiliations

  1. Dept. Brain Science and Engineering,  

    Fuminori Mizushima & Takashi Toyoshima

  2. Dept. Human Sciences, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu, Kitakyushu, Fukuoka, 808-0196, Japan

    Takashi Toyoshima

Authors
  1. Fuminori Mizushima
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  2. Takashi Toyoshima
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Editor information

Editors and Affiliations

  1. Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, 223-8522, Yokohama, Japan

    Yasubumi Sakakibara

  2. Dept. of Computer Science, Kyoto Sangyo University, Kamigamo Motoyama, Kita-ku, Kyoto, Japan

    Satoshi Kobayashi

  3. Japan Biological Informatics Consortium, 10F TIME24 Building, 2-45 Aomi, Koto-ku, 135-8073, Tokyo, Japan

    Kengo Sato

  4. Department of Information and Communication Engineering, Graduate School of Electro-Communications, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, 182-8585, Tokyo, Japan

    Tetsuro Nishino

  5. Department of Information and Communication Engineering, Faculty of Electro-Communications, The University of Electro-Communications, Chofugaoka 1–5–1, Chofu, 182-8585, Tokyo, Japan

    Etsuji Tomita

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© 2006 Springer-Verlag Berlin Heidelberg

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Mizushima, F., Toyoshima, T. (2006). Suprasymbolic Grammar Induction by Recurrent Self-Organizing Maps. In: Sakakibara, Y., Kobayashi, S., Sato, K., Nishino, T., Tomita, E. (eds) Grammatical Inference: Algorithms and Applications. ICGI 2006. Lecture Notes in Computer Science(), vol 4201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11872436_31

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  • DOI: https://doi.org/10.1007/11872436_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45264-5

  • Online ISBN: 978-3-540-45265-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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