Clustering coefficients of lexical neighborhoods: Does neighborhood structure matter in spoken word recognition?

Nicholas Altieri, Thomas Gruenenfelder, David B. Pisoni
2010 The Mental Lexicon  
High neighborhood density reduces the speed and accuracy of spoken word recognition. The two studies reported here investigated whether Clustering Coefficient (CC) — 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. In Experiment 1, we found that high CC words were identified less accurately when spectrally degraded than low CC words. In Experiment 2, using a word repetition procedure, we
more » ... rved longer response latencies for high CC words compared to low CC words. Taken together, the results of both studies indicate that higher CC leads to slower and less accurate spoken word recognition. The results are discussed in terms of activation-plus-competition models of spoken word recognition.
doi:10.1075/ml.5.1.01alt pmid:21423865 pmcid:PMC3060033 fatcat:axvwkfykqfhs5jdsh53ufd43ry