All networks show the basic garden path effect (p < .001 in JRNN, GRNN, and RNNG; p < 0.01 in TinyLSTM).
the garden path effect in TinyLSTM is much smaller than the other models: RC reduction causes an additional .3 bits of surprisal at the disambiguating verb, as compared to 2.8 bits in the RNNG, 1.9 in JRNN, and 3.6 in GRNN (TinyLSTM's garden path effect is significantly smaller than each other model at p < 0.001).