The lexical and grammatical sources of neg-raising inferences
Table 1: # of verbs acceptable in each tense-frame pair based on our extension of MegaAcceptability.
['[BOLD] Matrix tense', '[BOLD] Frame', '[BOLD] # verbs']
To remedy this, we extend MegaAcceptability with tense/aspect information by collecting acceptability judgments for modified versions of each sentence in MegaAcceptability, where the target verb is placed in either present or past progressive. From this combined dataset, we take past and present tense items rated on average 4 out of 7 or better (after rating normalization), for our experiment. This yields 3,968 verb-tense-frame pairs and 925 unique verbs. With our subject manipulation (first v. third person), the number of items doubles, producing 7,936 items. We partition items into 248 lists of 32 items. Each list is constrained such that (i) 16 items had a first person subject, and 16 items had a third person subject; (ii) 16 items are low acceptability and 16 items are high acceptability, based on a median split of the normalized acceptabilities for items selected from our extension of the MegaAcceptability dataset; (iv)