Presentation 1999/10/25
An Inductive Logic Programming Modeling for Noun Vocaburary Acquisition by Children
Ikuo Kobayashi, Koichi Furukawa, Mutsumi Imai, Tomonobu Ozaki,
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Abstract(in English) In this paper, we propose a model for children vocabulary acquisition based on inductive logic programming frame work. Children vocabulary acquision process is regarded as a supervised learning in which class information is given as a label by, say, their mothers, and other attributes through human sensory devices. Though huge possible interpretations seem to exist for each label, children can acquire more than thousand words by three years old. Sensory information can be used as not only a description vocabulary but also a scope of hypothesis searching. With this bias, our model learns hierarchical concepts as well as mutual exculusive ones. Our model includes cognitive psycological 'constraints' to derive preference over knowledge-based labeling rules.
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Keyword(in English) Inductive Logic Programming / vocaburary acquisition / biased leaning / theory improvement
Paper # NLC99-23
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Committee NLC
Conference Date 1999/10/25(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Inductive Logic Programming Modeling for Noun Vocaburary Acquisition by Children
Sub Title (in English)
Keyword(1) Inductive Logic Programming
Keyword(2) vocaburary acquisition
Keyword(3) biased leaning
Keyword(4) theory improvement
1st Author's Name Ikuo Kobayashi
1st Author's Affiliation Graduate School of Media and Governance Keio University()
2nd Author's Name Koichi Furukawa
2nd Author's Affiliation Graduate School of Media and Governance Keio University
3rd Author's Name Mutsumi Imai
3rd Author's Affiliation Faculty of Environmental Information Keio University
4th Author's Name Tomonobu Ozaki
4th Author's Affiliation Graduate School of Media and Governance Keio University
Date 1999/10/25
Paper # NLC99-23
Volume (vol) vol.99
Number (no) 387
Page pp.pp.-
#Pages 8
Date of Issue