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Untangling word webs

Graph theory and the notion of density in second language word association networks

Bibliographic Data

ID11655670
AuthorsClarissa Wilks (Kingston University, corresponding author), Paul Meara (0000-0001-8863-5374, University of Wales Swansea)
Year2002
Volume18
Issue4
Pages303-324
Publication date2002-09-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSecond language Research (JOURNAL)
Journal identifiersISSN: 0267-6583 • E-ISSN: 1477-0326
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1191/0267658302sr203oa
OpenAlexW2053748529
LanguageEN
Citations received29
References cited9

This article examines the implications of the metaphor of the ‘vocabulary network’. It takes a formal approach to the exploration of this metaphor by applying the principles of Graph Theory to word association data in order to compare the relative densities of first language (L1) and second language (L2) lexical networks. Earlier graph theoretical research into L2 word associations is reviewed and methodological flaws in this work discussed. It describes the development of a new elicitation tool which is able to provide a means of quantifying lexical density levels. Levels of linkage in the L1 and L2 lexical networks are shown to be higher than previously assumed in the literature. It is argued that it will be helpful to develop a more complex interpretation of the notion of lexical density

Association (psychology · Graph · Interpretation (philosophy · Linguistics · Metaphor · Natural language processing · Vocabulary · Word (group theory · Word Association · Computer Science · Natural Language Processing Techniques · Neurobiology of Language and Bilingualism · Psychology · Topic Modeling · Artificial Intelligence

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Unique citing works29
Citations per year1,38
Citation span2005 - 2026 (22)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 29

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