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

  title={Clustering coefficients of lexical neighborhoods: Does neighborhood structure matter in spoken word recognition?},
  author={Nicholas Altieri and Thomas M. Gruenenfelder and David B. Pisoni},
  journal={The mental lexicon},
  volume={5 1},
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… Expand
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