Table 1.

Percentage of winners by model and their summary statistics

Dataset	D	FDS	DS	FDS+DS
Full dataset, n = 418 meanings	8.6	16.3	35.6	39.5
LAGS, n = 325	8.6	16.9	35.7	38.8
LAMSAS, n = 93	8.6	14.0	35.5	41.9
Full dataset (w/o FDS+DS)	8.8	17.7	73.4
Statistic, mean ± SEM
2/1 ratio	0.70 ± 0.03	0.18 ± 0.03	0.45 ± 0.02
H	0.82 ± 0.01	0.42 ± 0.04	0.58 ± 0.01
Example meanings (SI Appendix, Tables S1, S2, and S4)	Cobbler, parlor, hay shed, relatives	Axle, towel, biscuits, syrup	Sweet potato, sofa, coffin, skunk

Shown are percentage of n = 418 meanings where the model shown has the highest posterior probability (Methods) and means of two key summary statistics (main text) for cases where the model shown above has highest posterior probability.