Presentation | 1997/1/24 On the Construction of Threshold Circuits Simulating Augmented Transition Networks Masahiro Kobayashi, Tetsuro Nishino, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The augmented transition network (ATN) is widely used as a computational model of natural language recognition. If this model correctly represents the process of human language recognition, humen brain must be able to simulate the corresponding ATN in some sence. In this paper, we represent human brains by threshold circuits, and show an algorithm to construct a threshold circuit which simulates an arbitrary given augmented transition network. In such a way, we propose a computational model of natural language recognition performed by the human brain. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | threshold circuit / augmented transition network / natural language recognition |
Paper # | COMP96-77 |
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Committee | COMP |
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Conference Date | 1997/1/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Theoretical Foundations of Computing (COMP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On the Construction of Threshold Circuits Simulating Augmented Transition Networks |
Sub Title (in English) | |
Keyword(1) | threshold circuit |
Keyword(2) | augmented transition network |
Keyword(3) | natural language recognition |
1st Author's Name | Masahiro Kobayashi |
1st Author's Affiliation | Graduate School of Electro-Communications The University of Electro-Communications() |
2nd Author's Name | Tetsuro Nishino |
2nd Author's Affiliation | Graduate School of Electro-Communications The University of Electro-Communications |
Date | 1997/1/24 |
Paper # | COMP96-77 |
Volume (vol) | vol.96 |
Number (no) | 488 |
Page | pp.pp.- |
#Pages | 8 |
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