Presentation | 2004/6/17 Neural Network Model of Syntactic Knowledge Acquisition Based on Data-driven Learning Theory Daichi MORIFUJI, Toshio INUI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recent developmental studies support the concept of "data-driven learning theory", which suggests that the properties of linguistic stimuli play important roles in syntactic knowledge acquisition. Based on this theory, a neural network model of syntactic knowledge acquisition was constructed. The model also implemented functions that have been separately suggested to be related to linguistic ability by both developmental and brain imaging studies. During the learning phase, the model appeared to extract regularities, such as word order and lexical co-ocurrence relationships, from linguistic stimuli that did not explicitly include categorical information, and then categorized words according to these regularities. As a result of these functions, the model demonstrated a word acquisition curve whose characteristics displayed quantitative similarities to those of children. Thus, we supported the validity of "data-driven learning theory", from a connectionist perspective. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | language development / neural network model / data-driven learning theory |
Paper # | NC2004-13 |
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Committee | NC |
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Conference Date | 2004/6/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Neural Network Model of Syntactic Knowledge Acquisition Based on Data-driven Learning Theory |
Sub Title (in English) | |
Keyword(1) | language development |
Keyword(2) | neural network model |
Keyword(3) | data-driven learning theory |
1st Author's Name | Daichi MORIFUJI |
1st Author's Affiliation | Graduate School of Informatics, Kyoto University() |
2nd Author's Name | Toshio INUI |
2nd Author's Affiliation | Graduate School of Informatics, Kyoto University |
Date | 2004/6/17 |
Paper # | NC2004-13 |
Volume (vol) | vol.104 |
Number (no) | 139 |
Page | pp.pp.- |
#Pages | 6 |
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