JAIST Repository >
School of Information Science >
Articles >
Journal Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/9823

Title: Efficiency of the Symmetry Bias in Grammar Aquisition
Authors: Matoba, Ryuichi
Nakamura, Makoto
Tojo, Satoshi
Keywords: language acquisition
iterated learning
symmetry bias
Issue Date: 2010
Publisher: Elsevier
Magazine name: Information and Computation
Volume: 209
Number: 3
Start page: 536
End page: 547
DOI: 10.1016/j.ic.2010.11.018
Abstract: It is well known that the symmetry bias greatly accelerates vocabulary learning. In particular, the bias helps infants to connect objects with their names easily. However, grammar learning is another important aspect of language acquisition. In this study, we propose that the symmetry bias also helps to acquire grammar rules faster. We employ the Iterated Learning Model, and revise it to include the symmetry bias. The result of the simulations shows that infants could abduce the meanings from unrecognized utterances using the symmetry bias, and acquire compositional grammar from a reduced amount of learning data.
Rights: NOTICE: This is the author's version of a work accepted for publication by Elsevier. Ryuichi Matoba, Makoto Nakamura, Satoshi Tojo, Information and Computation, 209(3), 2010, 536-547, http://dx.doi.org/10.1016/j.ic.2010.11.018
URI: http://hdl.handle.net/10119/9823
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

Files in This Item:

File Description SizeFormat
15832-1.pdf142KbAdobe PDFView/Open

All items in DSpace are protected by copyright, with all rights reserved.

 


Contact : Library Information Section, Japan Advanced Institute of Science and Technology