Discovery Early Career Researcher Award - Grant ID: DE140101749

Funding Activity

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Funded Activity Summary

A computational network model of the mental lexicon. Understanding a word's meaning is a challenge when learning a language and a capacity that is seriously affected in various disorders such as Alzheimer's disease, however little is known about how meaning is organised in the mental lexicon and evolves from childhood into old age. This project aims to build a detailed computational model integrating information available through the senses and structure in the language environment to derive a lexicon that covers most words people know. By distinguishing qualitative different types of meaning relations, this project will allow the prediction of the kind of information and processes required to understand words and an understanding of how this lexicon grows in childhood and declines in old age.

Funded Activity Details

Start Date: 07-2014

End Date: 12-2019

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $379,480.00

Funder: Australian Research Council