NDLI: Prototype-specific learning for children's vocabulary

Content Provider	IEEE Xplore Digital Library
Author	Hidaka, S. Saiki, J.
Copyright Year	2005
Description	Author affiliation: Graduate Sch. of Informatics, Kyoto Univ. (Hidaka, S.)
Abstract	Several studies suggested that knowledge about the relationship between vocabulary and perceptual objects work as a constraint to enable children to generalize novel words quickly. Children's bias in novel word generalization is considered to reflect their prior knowledge and is investigated in various contexts. In particular, children have a bias to attend to shape similarity of solid objects and material similarity of nonsolid substance in novel word acquisition (Imai and Gentner, 1997). A few studies reported that a model based on Boltzmann machine could explain categorization bias among shape, material and solidity by learning an artificial vocabulary environment (Colunga and Smith, 2000 and Samuelson, 2002). The model has few constraints within its internal structure, but bias emerges through learning artificial vocabulary using simple statistical property about entities' shape, solidity and count/mass syntactical class (Samuelson and Smith, 1999). We proposed a model (prototype-specific attention learning; PSAL) that could learn optimal feature attention for specific prototype of vocabulary. The Boltzmann machine model learns vocabulary in uniform feature space. On the other hand, PSAL learns it in feature space with different metric specific to proximal prototypes. Real children show categorization bias robustly in various learning environment, thus a model should have robustness to various environments. Therefore, we investigated how the two models behave in a few typical vocabulary environments and discuss how prototype-specific learning influence categorization bias
Starting Page	201
Ending Page	201
File Size	50014
Page Count	1
File Format	PDF
ISBN	0780392264
DOI	10.1109/DEVLRN.2005.1490982
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Solid modeling Shape Prototypes Psychology Machine learning Ontologies Robustness Cognition Informatics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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