Agent (Rope_manipulation)
Stats
- Average : 0.742567
- Std dev. : 0.0502564
- Min : 0.692311
- Max : 0.847931
- FEs : 37
Descriptors
Legend = verbs; nouns; adjectives; proper noun; french
- kate 0.847931
- charlie 0.847899
- susan 0.825612
- gloria 0.818494
- jamie 0.814194
- rose 0.805724
- marie 0.805515
- uncle 0.801935
- agnes 0.797300
- joe 0.795378
- frankie 0.794971
- lily 0.794959
- jack 0.790919
- kathleen 0.788220
- connor 0.787992
- johnny 0.787926
- rachel 0.787201
- billy 0.786426
- annie 0.785622
- fanshawe 0.782418
- betty 0.781790
- oliver 0.780660
- julie 0.780541
- gabriel 0.780005
- alice 0.779457
- sarah 0.778644
- melanie 0.774280
- tina 0.764387
- maggie 0.761145
- grin 0.760243
- sally 0.759538
- jessica 0.758716
- peggy 0.757515
- irene 0.757091
- jewkes 0.756183
- jill 0.753933
- pamela 0.753468
- emily 0.752800
- ben 0.752275
- harry 0.750895
- cissie 0.748284
- hilary 0.745823
- caroline 0.744780
- carrie 0.741426
- jake 0.740356
- anna 0.735229
- evelyn 0.735009
- stych 0.734437
- louise 0.734357
- laugh 0.733913
- madeleine 0.732968
- tuppe 0.731394
- clare 0.729437
- sara 0.729116
- miss 0.728789
- rex 0.728587
- benny 0.727362
- carmichael 0.725659
- dad 0.724957
- willie 0.723587
- toby 0.722230
- yer 0.719813
- adam 0.717331
- patsy 0.715807
- finn 0.715551
- sophie 0.713831
- daisy 0.713513
- barman 0.712957
- ellen 0.712747
- nick 0.712024
- shelley 0.710848
- sam 0.710471
- greg 0.709828
- lavender 0.709264
- nell 0.709115
- fritz 0.708764
- karen 0.707974
- stephanie 0.707527
- cameron 0.707418
- joanna 0.707112
- sid 0.706708
- hogan 0.706353
- ethel 0.706061
- nellie 0.705361
- josh 0.704224
- katherine 0.703677
- goldie 0.703641
- ellie 0.701550
- cornelius 0.701419
- alison 0.700294
- meredith 0.699476
- cranston 0.699456
- noreen 0.698041
- prentice 0.697266
- jo 0.695662
- ruth 0.694926
- juliet 0.693970
- barmaid 0.693484
- rosie 0.693068
- harker 0.692311
Nick.
She.
She.
The butcher.
He.
Kelly.
Renwick.
She.
Fifteen of the monkeys.
Claudia.
she.
a man.
He.
I.
I.
The Friar.
he.
she.
Kalchu.
I.
Stok.
I.
She.
he.
Gloria.
He.
I.
She.
Josh.
his brother.
He.
she.
He.
He.
He.
They.
Girl.
NPNick
NNbutcher
NPKelly
NPRenwick
NNmonkey
NPClaudia
NNman
NPThe
NPFriar
NPKalchu
NPStok
NPGloria
NPJosh
NNbrother
NNgirl
Cluster #0 : 2 instances
Cluster #1 : 1 instances
Cluster #2 : 1 instances
Cluster #3 : 1 instances
Cluster #4 : 3 instances
Cluster #5 : 1 instances
Cluster #6 : 1 instances
Cluster #7 : 1 instances
Cluster #8 : 1 instances
Cluster #9 : 1 instances
Cluster #10 : 1 instances
Cluster #0 2 instances
- kelly 0.942301
- nick 0.942301
- tony 0.861400
- terry 0.860389
- jack 0.847406
- ray 0.835963
- sean 0.835932
- alex 0.834655
- joe 0.825383
- graham 0.824508
- eric 0.821704
- frank 0.816420
- phil 0.815857
- brian 0.812656
- lee 0.811043
- colin 0.808890
- jimmy 0.805671
- barry 0.804515
- steve 0.801278
- rob 0.795298
- mike 0.790782
- clive 0.785906
- billy 0.782316
- kevin 0.775300
- martin 0.770499
- derek 0.769230
- jim 0.767944
- keith 0.762469
- howard 0.758509
- carl 0.757204
- nigel 0.755853
- pat 0.754195
- gary 0.754066
- andrew 0.752433
- bob 0.751454
- julie 0.750550
- andy 0.747415
- ian 0.747278
- ken 0.747233
- mark 0.746239
- trevor 0.744585
- allan 0.744575
- jackson 0.742008
- wayne 0.741059
- craig 0.739931
- bobby 0.738984
- chris 0.737329
- paul 0.737249
- jamie 0.736459
- neil 0.736411
- tom 0.735402
- david 0.735335
- mick 0.734559
- jason 0.733410
- jeremy 0.733215
- stephen 0.733040
- murray 0.731092
- harry 0.725759
- ryan 0.725688
- roy 0.723448
- alan 0.721265
- johnny 0.719849
- sandy 0.714124
- harvey 0.711913
- mason 0.710845
- tommy 0.708887
- wright 0.708085
- dick 0.705194
- greg 0.704362
- peter 0.703223
- denis 0.702644
- michael 0.701823
- lambert 0.700561
- ben 0.699709
- bruce 0.698771
- dixon 0.697792
- scott 0.696359
- francis 0.693824
- nicky 0.692185
- lawrence 0.691915
- harris 0.688049
- stuart 0.687946
- miles 0.687709
- ross 0.686619
- davis 0.686182
- stevie 0.685791
- stewart 0.685612
- gray 0.684128
- mcmahon 0.683690
- dave 0.681083
- charlie 0.680427
- dean 0.680043
- eddie 0.679229
- wilkinson 0.679146
- jon 0.678423
- o'connor 0.678033
- julian 0.676462
- bernard 0.676134
- danny 0.675448
- parker 0.674376
Cluster #1 1 instances
- butcher 1.000000
- grocer 0.719988
- baker 0.709568
- boatman 0.678045
- blacksmith 0.673597
- vicar 0.653586
- dunstable 0.652257
- merchant 0.649849
- postman 0.648738
- brewery 0.642894
- undertaker 0.637331
- irene 0.632596
- billy 0.628414
- grocery 0.625248
- annette 0.623654
Cluster #2 1 instances
- girl 1.000000
- boy 0.936241
- young 0.754494
- kid 0.752260
- teenager 0.717093
- child 0.712872
- bitch 0.712399
- lady 0.704496
- hywel 0.700553
- duffel 0.695507
- giggle 0.694951
- bridesmaid 0.686365
- panama 0.683832
- pigtail 0.682528
- mcculloch 0.681427
- pushy 0.673560
- classmate 0.673195
- violette 0.664959
- catriona 0.663401
- flirt 0.662524
- teenage 0.658286
- kitten 0.655925
- taunt 0.653696
- precocious 0.653273
- mammy 0.652161
- boater 0.649547
- lad 0.649368
- reprove 0.649111
- dame 0.647506
- natalie 0.645182
- collie 0.641382
- nun 0.639674
- governess 0.637869
- tart 0.637296
- undernourish 0.637271
- manā 0.636506
- age 0.634801
- outram 0.634689
- annamese 0.633280
- pullover 0.632338
- schoolboy 0.631124
- dote 0.631113
- haired 0.630321
- soppy 0.625781
- nightshirt 0.624678
- sister 0.622365
- teen 0.619919
Cluster #3 1 instances
- monkey 1.000000
- cat 0.752774
- squirrel 0.712996
- hen 0.688122
- rat 0.684311
- pigeon 0.679339
- owl 0.666248
- gorilla 0.665277
- spider 0.662829
- dog 0.655518
- deer 0.652651
- swine 0.649170
- toad 0.646045
- bird 0.640003
- rabbit 0.638252
- dipper 0.636389
- parasite 0.630957
- stray 0.627596
- mammalian 0.618220
- turtles 0.617853
Cluster #4 3 instances
- frown 0.879339
- claudia 0.879079
- juliet 0.869402
- gloria 0.867101
- melissa 0.864147
- meredith 0.848024
- maggie 0.842869
- nell 0.842079
- maman 0.840193
- culley 0.833524
- sara 0.833000
- stok 0.830462
- carrie 0.825517
- cornelius 0.817771
- finn 0.817034
- ellwood 0.815897
- celia 0.814855
- michele 0.812329
- jake 0.810174
- dalziel 0.808239
- amazement 0.806448
- kolchinsky 0.804465
- felicity 0.804020
onie 0.800138
- robyn 0.797369
- barman 0.797122
- jed 0.796740
- cleo 0.794945
- dalgliesh 0.791399
- travis 0.790715
- rachaela 0.789751
- blanche 0.789488
- loretta 0.788652
- nathan 0.785987
- pause 0.784608
- pumfrey 0.783384
- emily 0.781721
- xanthe 0.781270
- ven 0.781118
- sikes 0.778944
- bodie 0.777562
- tammuz 0.777311
- dexter 0.775347
- woodruffe 0.774415
- dot 0.773260
- kate 0.772765
- jenna 0.772468
- fabia 0.770609
- utterson 0.768980
- arty 0.767627
- snort 0.767468
uhok 0.766693
- miranda 0.766347
- noreen 0.765922
- comfort 0.765861
- ana 0.765270
- ruth 0.764489
- billie 0.762315
- pascoe 0.761105
- lucker 0.760009
- fagin 0.759795
- tuppe 0.759067
- gina 0.758848
- enquired 0.758391
- astonishment 0.757734
- maxim 0.757067
- endill 0.756883
- dougal 0.756067
- luce 0.755997
- corbett 0.755938
- breeze 0.755893
- theda 0.755830
- alain 0.755498
- leonora 0.755450
- senga 0.755376
- jinny 0.754334
- rachel 0.752847
- alina 0.751831
- brownlow 0.751652
- matey 0.751405
- laidlaw 0.750783
- glower 0.750552
- grin 0.750391
- doyle 0.749768
- lily 0.749406
- puzzle 0.748076
- donna 0.747067
- dyson 0.746424
- taheb 0.746359
- bewilderment 0.745202
- dana 0.745155
- flavia 0.744577
- jancey 0.744308
- mounce 0.744029
- frown 0.742854
- aggie 0.741355
- frankie 0.741205
- enid 0.740841
- rourke 0.740463
- sabrina 0.739989
Cluster #5 1 instances
- man 1.000000
- woman 0.904056
- young 0.790065
- rape 0.786580
- male 0.765374
- childless 0.750334
- heterosexual 0.729970
- buxom 0.724190
- married 0.720889
- cohabit 0.716100
- female 0.712464
Cluster #6 1 instances
- the 1.000000
- new 0.754204
Cluster #7 1 instances
- friar 1.000000
- peregrine 0.787123
- harriet 0.728154
- ma'am 0.726782
- gwendolen 0.720047
- chatterton 0.718851
- dowd 0.716870
- exclamation 0.712151
Cluster #8 1 instances
- kalchu 1.000000
- chola 0.773113
- memet 0.722523
- tamar 0.720483
- ellen 0.716379
- sapt 0.716190
- irina 0.715564
- stepmother 0.710386
- nathan 0.710010
- sigarup 0.707807
- petion 0.704213
Cluster #9 1 instances
- josh 1.000000
- jenny 0.729723
- dotty 0.725372
Cluster #10 1 instances
- brother 1.000000
- son 0.958199
- daughter 0.951832
- father 0.935868
- elder 0.921261
- sister 0.914254
- uncle 0.893819
- eldest 0.889293
- wife 0.884010
- cousin 0.879178
- grandfather 0.862333
- nephew 0.860780
- grandson 0.850451
- mary 0.817565
- elizabeth 0.815385
- mother 0.807508
- baronet 0.806903
- william 0.804787
- niece 0.803169
- henry 0.783111
- granddaughter 0.782509
- earl 0.779050
- husband 0.778359
- joseph 0.776649
- baronetcy 0.774836
- edith 0.772750
- heir 0.769676
- fulk 0.764862
- revd 0.762208
- marry 0.760880
- widow 0.758191
- sarah 0.755884
- angoul 0.752705
- titford 0.751239
- charles 0.750152
- bride 0.745665
- james 0.742856
- bayles 0.740856
- daniel 0.736673
- queen 0.735941
- susanna 0.735627
- percy 0.733969
- father 0.731981
- thomas 0.729527
- grandmother 0.728595
- orphan 0.727280
- richard 0.722283
- samuel 0.722070
- concubine 0.719485
- edmund 0.719182
- philip 0.718861
- baron 0.718564
- anne 0.716273
- hannah 0.715187
- louis 0.714698
- duke 0.711730
- jane 0.710870
- despenser 0.710095
- alexander 0.708922
- robert 0.707936
- edward 0.707813
- disinherit 0.707808
- george 0.707401
- arthur 0.706256
- frances 0.703270
- lady 0.703104