Table 5. Pearson’s r values for correlations of AMT similarity norms with neural similarity scores in left AG split by nouns and verbs.

Comparisons of correlations between similarity norms from AMT survey of pairwise phrase similarity (inclusive of both compositional (e.g. eats meat) and non-compositional (e.g. meat) items) and neural similarity norms calculated by averaging correlations between all pairs of phrases sharing a verb and all pairs of phrases sharing a noun (including both compositional and non-compositional items. Table 5 shows those verb- and noun-based correlations in best (unsigned) 50, 100, 200, and 500 voxels in left AG.

	verbs	100 voxels	200 voxels	500 voxels
verbs	−0.10	−0.12 *	−0.096	−0.14
nouns	−0.016	0.023	−0.039	−0.028

^†: 0.05<p < 0.1;

^*: p <0.05