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Application of neural networks to braille transcription

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3 Author(s)
Otsuka, K. ; Fac. of Eng., Tottori Univ., Japan ; Kishida, S. ; Watanabe

We applied neural networks to wakachikaki, which is to transcribe Japanese text into Braille. The neural network with 3 layered structure was used and were trained by the method of back propagation. The highest average correct ratio of 94% was obtained by optimizing parameters in the neural network. This value seems to be high in the neural network without a large scale dictionary. Therefore, the application of the neural network into the wakachikaki is thought to be useful for obtaining high ratio of correct answer.

Published in:

Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on  (Volume:2 )

Date of Conference:

18-22 Nov. 2002