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Graph-Theoretic Properties of Networks Based on Word Association Norms: Implications for Models of Lexical Semantic Memory
TLDR
The results suggest that participants switch between a contextual representation and an associative network when generating free associations, and that the role that each of these representations may play in lexical semantic memory. Expand
The lexical restructuring hypothesis and graph theoretic analyses of networks based on random lexicons.
TLDR
It is suggested that there is no need to appeal to processes of growth or language acquisition to explain the formal properties of the network structure of the mental lexicon, which emerged because the network was built based on the phonetic overlap of words. Expand
Transfer of Mediational Strategies in Children: The Role of Activity and Awareness During Strategy Acquisition.
BORKOWSKI, JOHN G.; LEVERS, SANDRA; and GRUENENFELDER, THOMAS M. Transfer of Mediational Strategies in Children: The Role of Activity and Awareness during Strategy Acquisition. CHILD DEVELOPMENT,Expand
Fundamental frequency as a cue to postvocalic consonantal voicing: Some data from speech perception and production
TLDR
The amount of change of F0 over the vowel was no greater before voiced than voiceless consonants, suggesting that the earlier perceptual effects cannot be explained by appealing to regularities observed in the production of F 0 contours in vowels preceding postvocalic consonants. Expand
Clustering coefficients of lexical neighborhoods: Does neighborhood structure matter in spoken word recognition?
TLDR
The two studies reported here investigated whether Clustering Coefficient - a graph theoretic variable measuring the degree to which a word's neighbors are neighbors of one another, has similar effects on spoken word recognition, and indicate that higher CC leads to slower and less accurate spokenword recognition. Expand
Misperceptions of spoken words: data from a random sample of American English words.
TLDR
This study reports a detailed analysis of incorrect responses from an open-set spoken word recognition experiment, designed to be a random sample of the entire American English lexicon, to form the beginnings of a database of speech errors collected under controlled laboratory conditions. Expand
Modeling the Mental Lexicon as a Complex System: Some Preliminary Results Using Graph Theoretic Measures 1
TLDR
The results suggest that including these new measures did not significantly improve the ability to predict the accuracy with which a word can be recognized in various levels of noise using only the word’s neighborhood size. Expand
Effects of word frequency, contextual diversity, and semantic distinctiveness on spoken word recognition.
TLDR
Semantic distinctiveness and contextual diversity were both able to explain variance above and beyond that explained by word frequency, which by itself explained little unique variance. Expand
In Defense of Spatial Models of Lexical Semantics
TLDR
This work builds on work by Griffiths, Steyvers, and Tenenbaum (2007) and test the ability of spatial semantic models to simulate association data when they are fused with a Luce choice rule to simulate the process of selecting a response in free association, providing an existence proof that spatial models can produce the patterns of data infree association previously thought to be problematic. Expand
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