Journal of Speech, Language, and Hearing Research Vol.51 408-422 April 2008. doi:10.1044/1092-4388(2008/030)
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What Can Graph Theory Tell Us About Word Learning and Lexical Retrieval?

Michael S. Vitevitch
University of Kansas, Lawrence

Contact author: Michael S. Vitevitch, Spoken Language Laboratory, Department of Psychology, 1415 Jayhawk Boulevard, University of Kansas, Lawrence, KS 66045. E-mail: mvitevit{at}ku.edu.

Purpose: Graph theory and the new science of networks provide a mathematically rigorous approach to examine the development and organization of complex systems. These tools were applied to the mental lexicon to examine the organization of words in the lexicon and to explore how that structure might influence the acquisition and retrieval of phonological word-forms.

Method: Pajek, a program for large network analysis and visualization (V. Batagelj & A. Mvrar, 1998), was used to examine several characteristics of a network derived from a computerized database of the adult lexicon. Nodes in the network represented words, and a link connected two nodes if the words were phonological neighbors.

Results: The average path length and clustering coefficient suggest that the phonological network exhibits small-world characteristics. The degree distribution was fit better by an exponential rather than a power-law function. Finally, the network exhibited assortative mixing by degree. Some of these structural characteristics were also found in graphs that were formed by 2 simple stochastic processes suggesting that similar processes might influence the development of the lexicon.

Conclusions: The graph theoretic perspective may provide novel insights about the mental lexicon and lead to future studies that help us better understand language development and processing.

KEY WORDS: graph theory, mental lexicon, phonological neighborhood


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