A computational model associating learning process, word attributes, and age of acquisition.

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

SUBMITTER: Hidaka S 

PROVIDER: S-EPMC3815221 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature