Presentation | 2003/7/21 Computational modeling of word meanings separation in vocabulary learning Kousuke KUROSAKI, Takaomi KIMURA, Takashi OMORI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In general, words have various meanings, multiple in some case. So, to acquire the meaning of a word, we have to separate the meaning and learn them individually. In this paper, we used a simple computer game as a model of the real world, and performed experiments to make computer acquire the meanings of utterances from the environmental information and the illocutionary information by using "Structural Learning with Forgetting (Ishikawa, 1996)". If the words had polysemic meanings, we separate their meanings by using "Normal Mixtuer Model". As a result, the computer learned the meanings of the polysemic word according to the intention of a game player. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Language Acquisition / Structure Learning with Forgetting / Normal Mixture Model |
Paper # | NC2003-31 |
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Committee | NC |
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Conference Date | 2003/7/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Computational modeling of word meanings separation in vocabulary learning |
Sub Title (in English) | |
Keyword(1) | Language Acquisition |
Keyword(2) | Structure Learning with Forgetting |
Keyword(3) | Normal Mixture Model |
1st Author's Name | Kousuke KUROSAKI |
1st Author's Affiliation | Faculty of Engineering, Hokkaido University() |
2nd Author's Name | Takaomi KIMURA |
2nd Author's Affiliation | Sony Corporation |
3rd Author's Name | Takashi OMORI |
3rd Author's Affiliation | Faculty of Engineering, Hokkaido University |
Date | 2003/7/21 |
Paper # | NC2003-31 |
Volume (vol) | vol.103 |
Number (no) | 227 |
Page | pp.pp.- |
#Pages | 6 |
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