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Table 9 

Regression results for the Uiaa partitionability estimate. Significance of F statistic, and AIC for the following models: polysemy only (poly), clusterability only (clust), and interaction (poly × clust). Bolded: model that is best by AIC and has significant F, separately for each substitute set. We use * for statistical significance with p < 0.05and**for p < 0.01.

datacl. measurepolyclustpoly × clust
FAICFAICFAIC
clls vr -20.2 -21.2 -20.7 
clls sep -20.2 -23.0 -20.9 
clls wpr -20.2 -24.1 -21.8 
clls ncs -20.8 -20.3 -19.3 
lexsub vr -20.4 -21.7 -26.9 
lexsub sep -20.4 ** -27.7 -25.4 
lexsub wpr -20.4 -29s7 -27.0 
lexsub ncs -22.7 ** -21.4 ** -24.8 
both pF -20.0 -22.1 -18.8 
both V -20.0 -24.8 -21.9 
datacl. measurepolyclustpoly × clust
FAICFAICFAIC
clls vr -20.2 -21.2 -20.7 
clls sep -20.2 -23.0 -20.9 
clls wpr -20.2 -24.1 -21.8 
clls ncs -20.8 -20.3 -19.3 
lexsub vr -20.4 -21.7 -26.9 
lexsub sep -20.4 ** -27.7 -25.4 
lexsub wpr -20.4 -29s7 -27.0 
lexsub ncs -22.7 ** -21.4 ** -24.8 
both pF -20.0 -22.1 -18.8 
both V -20.0 -24.8 -21.9 
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