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conditions
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predictions
sequence
center_embed
1
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The painting that the artist painted deteriorated", "The painting that the artist deteriorated painted" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "painting", "that", "the", "artist", "painted", "deteriorated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "painting", "that", "the", "artist", "deteriorated", "painted" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
2
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The storm that the captain feared subsided", "The storm that the captain subsided feared" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "storm", "that", "the", "captain", "feared", "subsided" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "storm", "that", "the", "captain", "subsided", "feared" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
3
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The girl that the bug frightened shouted", "The girl that the bug shouted frightened" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "girl", "that", "the", "bug", "frightened", "shouted" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "girl", "that", "the", "bug", "shouted", "frightened" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
4
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The baby that the woman held yelled", "The baby that the woman yelled held" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "baby", "that", "the", "woman", "held", "yelled" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "baby", "that", "the", "woman", "yelled", "held" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
5
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The soldier that the bullet wounded died", "The soldier that the bullet died wounded" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "soldier", "that", "the", "bullet", "wounded", "died" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "soldier", "that", "the", "bullet", "died", "wounded" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
6
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The storm that the scientist predicted intensified", "The storm that the scientist intensified predicted" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "storm", "that", "the", "scientist", "predicted", "intensified" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "storm", "that", "the", "scientist", "intensified", "predicted" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
7
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The convict that the cop arrested escaped", "The convict that the cop escaped arrested" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "convict", "that", "the", "cop", "arrested", "escaped" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "convict", "that", "the", "cop", "escaped", "arrested" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
8
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The computer that the secretary bought crashed", "The computer that the secretary crashed bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "computer", "that", "the", "secretary", "bought", "crashed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "computer", "that", "the", "secretary", "crashed", "bought" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
9
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The floor that the maid swept cracked", "The floor that the maid cracked swept" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "floor", "that", "the", "maid", "swept", "cracked" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "floor", "that", "the", "maid", "cracked", "swept" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
10
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The yacht that the millionaires bought sank", "The yacht that the millionaires sank bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "yacht", "that", "the", "millionaires", "bought", "sank" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "yacht", "that", "the", "millionaires", "sank", "bought" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
11
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The shirt that the man bought ripped", "The shirt that the man ripped bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "shirt", "that", "the", "man", "bought", "ripped" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "shirt", "that", "the", "man", "ripped", "bought" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
12
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The water that the maid poured evaporated", "The water that the maid evaporated poured" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "water", "that", "the", "maid", "poured", "evaporated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "water", "that", "the", "maid", "evaporated", "poured" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
13
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The building that the workers built collapsed", "The building that the workers collapsed built" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "building", "that", "the", "workers", "built", "collapsed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "building", "that", "the", "workers", "collapsed", "built" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
14
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The bones that the doctor examined broke", "The bones that the doctor broke examined" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "bones", "that", "the", "doctor", "examined", "broke" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "bones", "that", "the", "doctor", "broke", "examined" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
15
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The building that the workers repaired deteriorated", "The building that the workers deteriorated repaired" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "building", "that", "the", "workers", "repaired", "deteriorated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "building", "that", "the", "workers", "deteriorated", "repaired" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
16
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The ship that the workers built sank", "The ship that the workers sank built" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "ship", "that", "the", "workers", "built", "sank" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "ship", "that", "the", "workers", "sank", "built" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
17
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The horse that the boy rode bucked", "The horse that the boy bucked rode" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "horse", "that", "the", "boy", "rode", "bucked" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "horse", "that", "the", "boy", "bucked", "rode" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
18
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The water that the chef needed evaporated", "The water that the chef evaporated needed" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "water", "that", "the", "chef", "needed", "evaporated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "water", "that", "the", "chef", "evaporated", "needed" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
19
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The tree that the old man cut fell", "The tree that the old man fell cut" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "tree", "that", "the", "old man", "cut", "fell" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "tree", "that", "the", "old man", "fell", "cut" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
20
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The letter that the author wrote arrived", "The letter that the author arrived wrote" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "letter", "that", "the", "author", "wrote", "arrived" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "letter", "that", "the", "author", "arrived", "wrote" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
21
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The glass that the athlete hit cracked", "The glass that the athlete cracked hit" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "glass", "that", "the", "athlete", "hit", "cracked" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "glass", "that", "the", "athlete", "cracked", "hit" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
22
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The bomb that the terrorist built exploded", "The bomb that the terrorist exploded built" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "bomb", "that", "the", "terrorist", "built", "exploded" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "bomb", "that", "the", "terrorist", "exploded", "built" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
23
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The meat that the man cooked burned", "The meat that the man burned cooked" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "meat", "that", "the", "man", "cooked", "burned" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "meat", "that", "the", "man", "burned", "cooked" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
24
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The sugar that the visitor bought dissolved", "The sugar that the visitor dissolved bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "sugar", "that", "the", "visitor", "bought", "dissolved" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "sugar", "that", "the", "visitor", "dissolved", "bought" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
25
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The pants that the woman bought ripped", "The pants that the woman ripped bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "pants", "that", "the", "woman", "bought", "ripped" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "pants", "that", "the", "woman", "ripped", "bought" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
26
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The toilet that the worker fixed clogged", "The toilet that the worker clogged fixed" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "toilet", "that", "the", "worker", "fixed", "clogged" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "toilet", "that", "the", "worker", "clogged", "fixed" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
27
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The window that the boy wiped shattered", "The window that the boy shattered wiped" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "window", "that", "the", "boy", "wiped", "shattered" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "window", "that", "the", "boy", "shattered", "wiped" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed
28
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The child that the shadow frightened yelled", "The child that the shadow yelled frightened" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "child", "that", "the", "shadow", "frightened", "yelled" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "The", "child", "that", "the", "shadow", "yelled", "frightened" ] } ] }
[ "( (6;%plaus%) + (7;%plaus%) ) < ( (6;%implaus%) + (7;%implaus%) )" ]
center_embed_mod
1
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The painting that the artist who lived long ago painted deteriorated", "The painting that the artist who lived long ago deteriorated painted" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "painting", "that", "the", "artist", "who lived long ago", "painted", "deteriorated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "painting", "that", "the", "artist", "who lived long ago", "deteriorated", "painted" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
2
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The storm that the captain with the black hair feared subsided", "The storm that the captain with the black hair subsided feared" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "storm", "that", "the", "captain", "with the black hair", "feared", "subsided" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "storm", "that", "the", "captain", "with the black hair", "subsided", "feared" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
3
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The girl that the bug with the green wings frightened shouted", "The girl that the bug with the green wings shouted frightened" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "girl", "that", "the", "bug", "with the green wings", "frightened", "shouted" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "girl", "that", "the", "bug", "with the green wings", "shouted", "frightened" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
4
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The baby that the woman waiting in the street held yelled", "The baby that the woman waiting in the street yelled held" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "baby", "that", "the", "woman", "waiting in the street", "held", "yelled" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "baby", "that", "the", "woman", "waiting in the street", "yelled", "held" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
5
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The soldier that the bullet with the exploding tip wounded died", "The soldier that the bullet with the exploding tip died wounded" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "soldier", "that", "the", "bullet", "with the exploding tip", "wounded", "died" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "soldier", "that", "the", "bullet", "with the exploding tip", "died", "wounded" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
6
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The storm that the scientist from the famous university predicted intensified", "The storm that the scientist from the famous university intensified predicted" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "storm", "that", "the", "scientist", "from the famous university", "predicted", "intensified" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "storm", "that", "the", "scientist", "from the famous university", "intensified", "predicted" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
7
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The convict that the cop from the neighboring city arrested escaped", "The convict that the cop from the neighboring city escaped arrested" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "convict", "that", "the", "cop", "from the neighboring city", "arrested", "escaped" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "convict", "that", "the", "cop", "from the neighboring city", "escaped", "arrested" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
8
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The computer that the secretary with the blue dress bought crashed", "The computer that the secretary with the blue dress crashed bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "computer", "that", "the", "secretary", "with the blue dress", "bought", "crashed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "computer", "that", "the", "secretary", "with the blue dress", "crashed", "bought" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
9
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The floor that the maid with the strong arms swept cracked", "The floor that the maid with the strong arms cracked swept" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "floor", "that", "the", "maid", "with the strong arms", "swept", "cracked" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "floor", "that", "the", "maid", "with the strong arms", "cracked", "swept" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
10
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The yacht that the millionaires who everyone dislikes bought sank", "The yacht that the millionaires who everyone dislikes sank bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "yacht", "that", "the", "millionaires", "who everyone dislikes", "bought", "sank" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "yacht", "that", "the", "millionaires", "who everyone dislikes", "sank", "bought" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
11
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The shirt that the man who lives down the block bought ripped", "The shirt that the man who lives down the block ripped bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "shirt", "that", "the", "man", "who lives down the block", "bought", "ripped" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "shirt", "that", "the", "man", "who lives down the block", "ripped", "bought" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
12
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The water that the maid in the white uniform poured evaporated", "The water that the maid in the white uniform evaporated poured" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "water", "that", "the", "maid", "in the white uniform", "poured", "evaporated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "water", "that", "the", "maid", "in the white uniform", "evaporated", "poured" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
13
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The building that the workers from the local union built collapsed", "The building that the workers from the local union collapsed built" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "building", "that", "the", "workers", "from the local union", "built", "collapsed" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "building", "that", "the", "workers", "from the local union", "collapsed", "built" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
14
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The bones that the doctor in the white jacket examined broke", "The bones that the doctor in the white jacket broke examined" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "bones", "that", "the", "doctor", "in the white jacket", "examined", "broke" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "bones", "that", "the", "doctor", "in the white jacket", "broke", "examined" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
15
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The building that the workers in the green pants repaired deteriorated", "The building that the workers in the green pants deteriorated repaired" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "building", "that", "the", "workers", "in the green pants", "repaired", "deteriorated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "building", "that", "the", "workers", "in the green pants", "deteriorated", "repaired" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
16
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The ship that the workers in the blue uniforms built sank", "The ship that the workers in the blue uniforms sank built" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "ship", "that", "the", "workers", "in the blue uniforms", "built", "sank" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "ship", "that", "the", "workers", "in the blue uniforms", "sank", "built" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
17
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The horse that the boy from the local town rode bucked", "The horse that the boy from the local town bucked rode" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "horse", "that", "the", "boy", "from the local town", "rode", "bucked" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "horse", "that", "the", "boy", "from the local town", "bucked", "rode" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
18
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The water that the chef in the tall white hat needed evaporated", "The water that the chef in the tall white hat evaporated needed" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "water", "that", "the", "chef", "in the tall white hat", "needed", "evaporated" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "water", "that", "the", "chef", "in the tall white hat", "evaporated", "needed" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
19
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The tree that the old man from the small town cut fell", "The tree that the old man from the small town fell cut" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "tree", "that", "the", "old man", "from the small town", "cut", "fell" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "tree", "that", "the", "old man", "from the small town", "fell", "cut" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
20
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The letter that the author from the big city wrote arrived", "The letter that the author from the big city arrived wrote" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "letter", "that", "the", "author", "from the big city", "wrote", "arrived" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "letter", "that", "the", "author", "from the big city", "arrived", "wrote" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
21
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The glass that the athlete in the red shirt hit cracked", "The glass that the athlete in the red shirt cracked hit" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "glass", "that", "the", "athlete", "in the red shirt", "hit", "cracked" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "glass", "that", "the", "athlete", "in the red shirt", "cracked", "hit" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
22
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The bomb that the terrorist from the foreign country built exploded", "The bomb that the terrorist from the foreign country exploded built" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "bomb", "that", "the", "terrorist", "from the foreign country", "built", "exploded" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "bomb", "that", "the", "terrorist", "from the foreign country", "exploded", "built" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
23
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The meat that the man in the green jacket cooked burned", "The meat that the man in the green jacket burned cooked" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "meat", "that", "the", "man", "in the green jacket", "cooked", "burned" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "meat", "that", "the", "man", "in the green jacket", "burned", "cooked" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
24
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The sugar that the visitor from the south of France bought dissolved", "The sugar that the visitor from the south of France dissolved bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "sugar", "that", "the", "visitor", "from the south of France", "bought", "dissolved" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "sugar", "that", "the", "visitor", "from the south of France", "dissolved", "bought" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
25
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The pants that the woman in the green dress bought ripped", "The pants that the woman in the green dress ripped bought" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "pants", "that", "the", "woman", "in the green dress", "bought", "ripped" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "pants", "that", "the", "woman", "in the green dress", "ripped", "bought" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
26
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The toilet that the worker who we all respect fixed clogged", "The toilet that the worker who we all respect clogged fixed" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "toilet", "that", "the", "worker", "who we all respect", "fixed", "clogged" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "toilet", "that", "the", "worker", "who we all respect", "clogged", "fixed" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
27
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The window that the boy in the blue shirt wiped shattered", "The window that the boy in the blue shirt shattered wiped" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "window", "that", "the", "boy", "in the blue shirt", "wiped", "shattered" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "window", "that", "the", "boy", "in the blue shirt", "shattered", "wiped" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
center_embed_mod
28
{ "condition_name": [ "plaus", "implaus" ], "content": [ "The child that the shadow in the corner of the room frightened yelled", "The child that the shadow in the corner of the room yelled frightened" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "child", "that", "the", "shadow", "in the corner of the room", "frightened", "yelled" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "content": [ "The", "child", "that", "the", "shadow", "in the corner of the room", "yelled", "frightened" ] } ] }
[ "( (7;%plaus%) + (8;%plaus%) ) < ( (7;%implaus%) + (8;%implaus%) )" ]
cleft
1
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What he did was the meal", "What he ate was the meal", "What he did was prepare the meal", "What he ate was prepare the meal" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "did", "was", "", "the meal" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "ate", "was", "", "the meal" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "did", "was", "prepare", "the meal" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "ate", "was", "prepare", "the meal" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
2
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the young man did was the crops", "What the young man planted was the crops", "What the young man did was plant the crops", "What the young man planted was plant the crops" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the young man", "did", "was", "", "the crops" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the young man", "planted", "was", "", "the crops" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the young man", "did", "was", "plant", "the crops" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the young man", "planted", "was", "plant", "the crops" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
3
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the worker did was the plane", "What the worker repaired was the plane", "What the worker did was board the plane", "What the worker repaired was board the plane" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the worker", "did", "was", "", "the plane" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the worker", "repaired", "was", "", "the plane" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the worker", "did", "was", "board", "the plane" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the worker", "repaired", "was", "board", "the plane" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
4
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the fan did was the tickets", "What the fan sold was the tickets", "What the fan did was buy the tickets", "What the fan sold was buy the tickets" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the fan", "did", "was", "", "the tickets" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the fan", "sold", "was", "", "the tickets" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the fan", "did", "was", "buy", "the tickets" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the fan", "sold", "was", "buy", "the tickets" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
5
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the young woman did was the toilet", "What the young woman wiped was the toilet", "What the young woman did was flush the toilet", "What the young woman wiped was flush the toilet" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the young woman", "did", "was", "", "the toilet" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the young woman", "wiped", "was", "", "the toilet" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the young woman", "did", "was", "flush", "the toilet" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the young woman", "wiped", "was", "flush", "the toilet" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
6
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the fans did was the game", "What the fans watched was the game", "What the fans did was lose the game", "What the fans watched was lose the game" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the fans", "did", "was", "", "the game" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the fans", "watched", "was", "", "the game" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the fans", "did", "was", "lose", "the game" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the fans", "watched", "was", "lose", "the game" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
7
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the gardener did was the tree", "What the gardener trimmed was the tree", "What the gardener did was plant the tree", "What the gardener trimmed was plant the tree" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the gardener", "did", "was", "", "the tree" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the gardener", "trimmed", "was", "", "the tree" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the gardener", "did", "was", "plant", "the tree" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the gardener", "trimmed", "was", "plant", "the tree" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
8
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the old man did was the flag", "What the old man bought was the flag", "What the old man did was raise the flag", "What the old man bought was raise the flag" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old man", "did", "was", "", "the flag" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old man", "bought", "was", "", "the flag" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old man", "did", "was", "raise", "the flag" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old man", "bought", "was", "raise", "the flag" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
9
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the old man did was the chicken", "What the old man cooked was the chicken", "What the old man did was hunt the chicken", "What the old man cooked was hunt the chicken" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old man", "did", "was", "", "the chicken" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old man", "cooked", "was", "", "the chicken" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old man", "did", "was", "hunt", "the chicken" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old man", "cooked", "was", "hunt", "the chicken" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
10
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the workers did was the sidewalk", "What the workers walked down was the sidewalk", "What the workers did was pave the sidewalk", "What the workers walked down was pave the sidewalk" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the workers", "did", "was", "", "the sidewalk" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the workers", "walked down", "was", "", "the sidewalk" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the workers", "did", "was", "pave", "the sidewalk" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the workers", "walked down", "was", "pave", "the sidewalk" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
11
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "Who the mother did was the baby", "Who the mother fed was the baby", "Who the mother did was hug the baby", "Who the mother fed was hug the baby" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the mother", "did", "was", "", "the baby" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the mother", "fed", "was", "", "the baby" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the mother", "did", "was", "hug", "the baby" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the mother", "fed", "was", "hug", "the baby" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
12
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the old woman did was the apartment", "What the old woman bought was the apartment", "What the old woman did was furnish the apartment", "What the old woman bought was furnish the apartment" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old woman", "did", "was", "", "the apartment" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old woman", "bought", "was", "", "the apartment" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old woman", "did", "was", "furnish", "the apartment" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old woman", "bought", "was", "furnish", "the apartment" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
13
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the guards did was the plot", "What the guards concocted was the plot", "What the guards did was thwart the plot", "What the guards concocted was thwart the plot" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the guards", "did", "was", "", "the plot" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the guards", "concocted", "was", "", "the plot" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the guards", "did", "was", "thwart", "the plot" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the guards", "concocted", "was", "thwart", "the plot" ] } ] }
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cleft
14
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the senator did was the bill", "What the senator sponsored was the bill", "What the senator did was veto the bill", "What the senator sponsored was veto the bill" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the senator", "did", "was", "", "the bill" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the senator", "sponsored", "was", "", "the bill" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the senator", "did", "was", "veto", "the bill" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the senator", "sponsored", "was", "veto", "the bill" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
15
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the representatives did was the law", "What the representatives wrote was the law", "What the representatives did was repeal the law", "What the representatives wrote was repeal the law" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the representatives", "did", "was", "", "the law" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the representatives", "wrote", "was", "", "the law" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the representatives", "did", "was", "repeal", "the law" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the representatives", "wrote", "was", "repeal", "the law" ] } ] }
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cleft
16
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the old woman did was the cats", "What the old woman fed was the cats", "What the old woman did was stroke the cats", "What the old woman fed was stroke the cats" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old woman", "did", "was", "", "the cats" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old woman", "fed", "was", "", "the cats" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old woman", "did", "was", "stroke", "the cats" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the old woman", "fed", "was", "stroke", "the cats" ] } ] }
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cleft
17
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the army did was the country", "What the army loved was the country", "What the army did was invade the country", "What the army loved was invade the country" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the army", "did", "was", "", "the country" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the army", "loved", "was", "", "the country" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the army", "did", "was", "invade", "the country" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the army", "loved", "was", "invade", "the country" ] } ] }
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cleft
18
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "Who the soldier did was the enemy", "Who the soldier battled was the enemy", "Who the soldier did was attack the enemy", "Who the soldier battled was attack the enemy" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the soldier", "did", "was", "", "the enemy" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the soldier", "battled", "was", "", "the enemy" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the soldier", "did", "was", "attack", "the enemy" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the soldier", "battled", "was", "attack", "the enemy" ] } ] }
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cleft
19
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the novelist did was the book", "What the novelist wrote was the book", "What the novelist did was borrow the book", "What the novelist wrote was borrow the book" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the novelist", "did", "was", "", "the book" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the novelist", "wrote", "was", "", "the book" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the novelist", "did", "was", "borrow", "the book" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the novelist", "wrote", "was", "borrow", "the book" ] } ] }
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cleft
20
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the worker did was the door", "What the worker installed was the door", "What the worker did was lock the door", "What the worker installed was lock the door" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the worker", "did", "was", "", "the door" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the worker", "installed", "was", "", "the door" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the worker", "did", "was", "lock", "the door" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the worker", "installed", "was", "lock", "the door" ] } ] }
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cleft
21
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the workers did was the wall", "What the workers painted was the wall", "What the workers did was reinforce the wall", "What the workers painted was reinforce the wall" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the workers", "did", "was", "", "the wall" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the workers", "painted", "was", "", "the wall" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the workers", "did", "was", "reinforce", "the wall" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the workers", "painted", "was", "reinforce", "the wall" ] } ] }
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cleft
22
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the actor did was the story", "What the actor wrote was the story", "What the actor did was tell the story", "What the actor wrote was tell the story" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the actor", "did", "was", "", "the story" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the actor", "wrote", "was", "", "the story" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the actor", "did", "was", "tell", "the story" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the actor", "wrote", "was", "tell", "the story" ] } ] }
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cleft
23
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the tourists did was the destination", "What the tourists traveled towards was the destination", "What the tourists did was reach the destination", "What the tourists traveled towards was reach the destination" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the tourists", "did", "was", "", "the destination" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the tourists", "traveled towards", "was", "", "the destination" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the tourists", "did", "was", "reach", "the destination" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the tourists", "traveled towards", "was", "reach", "the destination" ] } ] }
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cleft
24
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the men did was the city", "What the men repaired was the city", "What the men did was defend the city", "What the men repaired was defend the city" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the men", "did", "was", "", "the city" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the men", "repaired", "was", "", "the city" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the men", "did", "was", "defend", "the city" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the men", "repaired", "was", "defend", "the city" ] } ] }
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cleft
25
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What he did was the package", "What he sent was the package", "What he did was deliver the package", "What he sent was deliver the package" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "did", "was", "", "the package" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "sent", "was", "", "the package" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "did", "was", "deliver", "the package" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "sent", "was", "deliver", "the package" ] } ] }
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cleft
26
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What she did was the contract", "What she wrote was the contract", "What she did was renew the contract", "What she wrote was renew the contract" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "she", "did", "was", "", "the contract" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "she", "wrote", "was", "", "the contract" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "she", "did", "was", "renew", "the contract" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "she", "wrote", "was", "renew", "the contract" ] } ] }
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cleft
27
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What he did was the rumor", "What he spread was the rumor", "What he did was confirm the rumor", "What he spread was confirm the rumor" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "did", "was", "", "the rumor" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "spread", "was", "", "the rumor" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "did", "was", "confirm", "the rumor" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "spread", "was", "confirm", "the rumor" ] } ] }
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cleft
28
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "Who they did was the politician", "Who they rebuked was the politician", "Who they did was murder the politician", "Who they rebuked was murder the politician" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "they", "did", "was", "", "the politician" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "they", "rebuked", "was", "", "the politician" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "they", "did", "was", "murder", "the politician" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "they", "rebuked", "was", "murder", "the politician" ] } ] }
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cleft
29
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "Who the police did was the suspect", "Who the police caught was the suspect", "Who the police did was monitor the suspect", "Who the police caught was monitor the suspect" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the police", "did", "was", "", "the suspect" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the police", "caught", "was", "", "the suspect" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the police", "did", "was", "monitor", "the suspect" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the police", "caught", "was", "monitor", "the suspect" ] } ] }
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cleft
30
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the people did was the trash", "What the people collected was the trash", "What the people did was remove the trash", "What the people collected was remove the trash" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the people", "did", "was", "", "the trash" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the people", "collected", "was", "", "the trash" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the people", "did", "was", "remove", "the trash" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the people", "collected", "was", "remove", "the trash" ] } ] }
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cleft
31
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the teacher did was the subject", "What the teacher taught was the subject", "What the teacher did was write about the subject", "What the teacher taught was write about the subject" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the teacher", "did", "was", "", "the subject" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the teacher", "taught", "was", "", "the subject" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the teacher", "did", "was", "write about", "the subject" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the teacher", "taught", "was", "write about", "the subject" ] } ] }
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cleft
32
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What they did was the drugs", "What they bought was the drugs", "What they did was transport the drugs", "What they bought was transport the drugs" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "they", "did", "was", "", "the drugs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "they", "bought", "was", "", "the drugs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "they", "did", "was", "transport", "the drugs" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "they", "bought", "was", "transport", "the drugs" ] } ] }
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cleft
33
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "Who he did was his friend", "Who he called was his friend", "Who he did was hug his friend", "Who he called was hug his friend" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "he", "did", "was", "", "his friend" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "he", "called", "was", "", "his friend" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "he", "did", "was", "hug", "his friend" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "he", "called", "was", "hug", "his friend" ] } ] }
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cleft
34
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What she did was the shipment", "What she bought was the shipment", "What she did was transport the shipment", "What she bought was transport the shipment" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "she", "did", "was", "", "the shipment" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "she", "bought", "was", "", "the shipment" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "she", "did", "was", "transport", "the shipment" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "she", "bought", "was", "transport", "the shipment" ] } ] }
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cleft
35
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What we did was the argument", "What we won was the argument", "What we did was make the argument", "What we won was make the argument" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "we", "did", "was", "", "the argument" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "we", "won", "was", "", "the argument" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "we", "did", "was", "make", "the argument" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "we", "won", "was", "make", "the argument" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
36
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "Who you did was the worker", "Who you contracted was the worker", "Who you did was hire the worker", "Who you contracted was hire the worker" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "you", "did", "was", "", "the worker" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "you", "contracted", "was", "", "the worker" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "you", "did", "was", "hire", "the worker" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "you", "contracted", "was", "hire", "the worker" ] } ] }
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cleft
37
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What he did was a painting", "What he created was a painting", "What he did was paint a painting", "What he created was paint a painting" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "did", "was", "", "a painting" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "created", "was", "", "a painting" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "did", "was", "paint", "a painting" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "he", "created", "was", "paint", "a painting" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
38
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the woman did was the letter", "What the woman wrote was the letter", "What the woman did was mail the letter", "What the woman wrote was mail the letter" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the woman", "did", "was", "", "the letter" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the woman", "wrote", "was", "", "the letter" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the woman", "did", "was", "mail", "the letter" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the woman", "wrote", "was", "mail", "the letter" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
39
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the maid did was the glass", "What the maid broke was the glass", "What the maid did was empty the glass", "What the maid broke was empty the glass" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the maid", "did", "was", "", "the glass" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the maid", "broke", "was", "", "the glass" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the maid", "did", "was", "empty", "the glass" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "What", "the maid", "broke", "was", "empty", "the glass" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft
40
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "Who the judge did was the criminal", "Who the judge accused was the criminal", "Who the judge did was sentence the criminal", "Who the judge accused was sentence the criminal" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the judge", "did", "was", "", "the criminal" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the judge", "accused", "was", "", "the criminal" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the judge", "did", "was", "sentence", "the criminal" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6 ], "content": [ "Who", "the judge", "accused", "was", "sentence", "the criminal" ] } ] }
[ "((6;%np_mismatch%)-(6;%np_match%))+(((5;%vp_mismatch%)+(6;%vp_mismatch%))-((5;%vp_match%)+(6;%vp_match%)))>0" ]
cleft_modifier
1
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What he did after the ingredients had been bought from the store was the meal", "What he ate after the ingredients had been bought from the store was the meal", "What he did after the ingredients had been bought from the store was prepare the meal", "What he ate after the ingredients had been bought from the store was prepare the meal" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "he", "did", "after the ingredients had been bought from the store", "was", "", "the meal" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "he", "ate", "after the ingredients had been bought from the store", "was", "", "the meal" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "he", "did", "after the ingredients had been bought from the store", "was", "prepare", "the meal" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "he", "ate", "after the ingredients had been bought from the store", "was", "prepare", "the meal" ] } ] }
[ "((7;%np_mismatch%)-(7;%np_match%))+(((6;%vp_mismatch%)+(7;%vp_mismatch%))-((6;%vp_match%)+(7;%vp_match%)))>0" ]
cleft_modifier
2
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the young man did when the weather turned warm in the spring was the crops", "What the young man planted when the weather turned warm in the spring was the crops", "What the young man did when the weather turned warm in the spring was plant the crops", "What the young man planted when the weather turned warm in the spring was plant the crops" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the young man", "did", "when the weather turned warm in the spring", "was", "", "the crops" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the young man", "planted", "when the weather turned warm in the spring", "was", "", "the crops" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the young man", "did", "when the weather turned warm in the spring", "was", "plant", "the crops" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the young man", "planted", "when the weather turned warm in the spring", "was", "plant", "the crops" ] } ] }
[ "((7;%np_mismatch%)-(7;%np_match%))+(((6;%vp_mismatch%)+(7;%vp_mismatch%))-((6;%vp_match%)+(7;%vp_match%)))>0" ]
cleft_modifier
3
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the worker did after the gate agent made the final announcement about the flight was the plane", "What the worker repaired after the gate agent made the final announcement about the flight was the plane", "What the worker did after the gate agent made the final announcement about the flight was board the plane", "What the worker repaired after the gate agent made the final announcement about the flight was board the plane" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the worker", "did", "after the gate agent made the final announcement about the flight", "was", "", "the plane" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the worker", "repaired", "after the gate agent made the final announcement about the flight", "was", "", "the plane" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the worker", "did", "after the gate agent made the final announcement about the flight", "was", "board", "the plane" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the worker", "repaired", "after the gate agent made the final announcement about the flight", "was", "board", "the plane" ] } ] }
[ "((7;%np_mismatch%)-(7;%np_match%))+(((6;%vp_mismatch%)+(7;%vp_mismatch%))-((6;%vp_match%)+(7;%vp_match%)))>0" ]
cleft_modifier
4
{ "condition_name": [ "np_mismatch", "np_match", "vp_match", "vp_mismatch" ], "content": [ "What the fan did when his favorite team made it to the championship was the tickets", "What the fan sold when his favorite team made it to the championship was the tickets", "What the fan did when his favorite team made it to the championship was buy the tickets", "What the fan sold when his favorite team made it to the championship was buy the tickets" ], "regions": [ { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the fan", "did", "when his favorite team made it to the championship", "was", "", "the tickets" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the fan", "sold", "when his favorite team made it to the championship", "was", "", "the tickets" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the fan", "did", "when his favorite team made it to the championship", "was", "buy", "the tickets" ] }, { "region_number": [ 1, 2, 3, 4, 5, 6, 7 ], "content": [ "What", "the fan", "sold", "when his favorite team made it to the championship", "was", "buy", "the tickets" ] } ] }
[ "((7;%np_mismatch%)-(7;%np_match%))+(((6;%vp_mismatch%)+(7;%vp_mismatch%))-((6;%vp_match%)+(7;%vp_match%)))>0" ]

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