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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/11627

Title: A computational model associating learning process, word attributes, and age of acquisition
Authors: Hidaka, Shohei
Keywords: Vocabulary development
Age of acquisition
Statistical analysis
Issue Date: 2013-11-01
Publisher: PLOS
Magazine name: PLoS ONE
Volume: 8
Number: 12
Start page: e76242
DOI: 10.1371/journal.pone.0076242
Abstract: We propose a new model-based approach linking word learning to the age of acquisition (AoA) of words; a new computational tool for understanding the relationships among word learning processes, psychological attributes, and word AoAs as measures of vocabulary growth. The computational model developed describes the distinct statistical relationships between three theoretical factors underpinning word learning and AoA distributions. Simply put, this model formulates how different learning processes, characterized by change in learning rate over time and/or by the number of exposures required to acquire a word, likely result in different AoA distributions depending on word type. We tested the model in three respects. The first analysis showed that the proposed model accounts for empirical AoA distributions better than a standard alternative. The second analysis demonstrated that the estimated learning parameters well predicted the psychological attributes, such as frequency and imageability, of words. The third analysis illustrated that the developmental trend predicted by our estimated learning parameters was consistent with relevant findings in the developmental literature on word learning in children. We further discuss the theoretical implications of our model-based approach.
Rights: Shohei Hidaka, PLoS ONE, 8(12), 2013, e76242. doi:10.1371/journal.pone.0076242 (c) 2013 Shohei Hidaka. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
URI: http://hdl.handle.net/10119/11627
Material Type: publisher
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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