A COMPUTATIONAL NETWORK MODEL OF THE MENTAL LEXICON (TRANSFER IN)

Grant number: DE140101749 | Funding period: 2018 - 2019

Completed

Abstract

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 ..

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Related publications (7)

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Visual and Affective Multimodal Models of Word Meaning in Language and Mind

Simon De Deyne, Danielle J Navarro, Guillem Collell, Andrew Perfors

2021-01-01

One of the main limitations of natural language-based approaches to meaning is that they do not incorporate multimodal representat..

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Lexicosemantic, affective, and distributional norms for 1,000 Dutch adjectives

Steven Verheyen, Simon De Deyne, Sarah Linsen, Gert Storms

2019-10-25

The research of the word is still very much the research of the noun. Adjectives have been largely overlooked, despite being the s..

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Redefining the resolution of semantic knowledge in the brain: Advances made by the introduction of models of semantics in neuroimaging

Rose Bruffaerts, Simon De Deyne, Karen Meersmans, Antonietta Gabriella Liuzzi, Gert Storms, Rik Vandenberghe

2019-08-01

The boundaries of our understanding of conceptual representation in the brain have been redrawn since the introduction of explicit..

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The "Small World of Words" English word association norms for over 12,000 cue words

Simon De Deyne, Danielle J Navarro, Amy Perfors, Marc Brysbaert, Gert Storms

2019-06-01

Word associations have been used widely in psychology, but the validity of their application strongly depends on the number of cue..

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Predicting Lexical Norms: A Comparison between a Word Association Model and Text-Based Word Co-occurrence Models.

Hendrik Vankrunkelsven, Steven Verheyen, Gert Storms, Simon De Deyne

2018-11-27

In two studies we compare a distributional semantic model derived from word co-occurrences and a word association based model in t..

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Rich semantic networks applied to schizophrenia: A new framework

S De Deyne, B Elvevag, CLM Hui, VWY Poon, EYH Chen

2016-10-01

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Structure at Every Scale: A Semantic Network Account of the Similarities Between Unrelated Concepts

Simon De Deyne, Daniel J Navarro, Amy Perfors, Gert Storms

2016-09-01

Similarity plays an important role in organizing the semantic system. However, given that similarity cannot be defined on purely l..