Vehicle (Path_shape)
Stats
- Average : 0.656942
- Std dev. : 0.0620684
- Min : 0.594874
- Max : 0.840640
- FEs : 11
Descriptors
Too few elements
Legend = verbs; nouns; adjectives; proper noun; french
- plane 0.840640
- wheel 0.789903
- helicopter 0.774538
- convoy 0.768294
- truck 0.755560
- sniper 0.749910
- aircraft 0.741519
- bomber 0.741276
- fire 0.738805
- flight 0.732908
- passenger 0.730550
- winch 0.729673
- wagon 0.719894
- speeding 0.705133
- train 0.705125
- guard 0.702848
- lorry 0.702778
- rail 0.702775
- landing 0.702381
- vehicle 0.698808
- swerve 0.697202
- armoured 0.695733
- wire 0.690576
- sledge 0.689381
- driver 0.689040
- van 0.687490
- drive 0.687209
- patrol 0.681936
- cockpit 0.680432
- jeep 0.673998
- bullet 0.673308
- brake 0.672590
- tow 0.670287
- kerb 0.669166
- cross 0.668597
- ship 0.667542
- runway 0.665796
- car 0.665727
- gun 0.663847
- crash 0.660177
- deck 0.658569
- bomb 0.657563
- shoot 0.653591
- ramp 0.653590
- engine 0.652576
- transporter 0.651274
- drive 0.650842
- dep 0.650724
- lift 0.648416
- cart 0.647565
- crew 0.646084
- mph 0.638183
- carriage 0.637799
- headlight 0.637656
- attacker 0.637630
- tunnel 0.637482
- pole 0.635999
- trailer 0.635550
- motor 0.633365
- brigade 0.633177
- infantry 0.632527
- fly 0.632410
- rifle 0.632229
- cable 0.632031
- foot 0.628904
- jet 0.628430
- skid 0.627213
- fighter 0.626537
- oncoming 0.626512
- silencer 0.625157
- bridge 0.623929
- boat 0.623914
- strafe 0.622187
- motorway 0.621635
- bike 0.621472
- road 0.616979
- propeller 0.616668
- speed 0.616588
- ferry 0.614718
- parachute 0.614287
- force 0.612714
- climb 0.611804
- track 0.610954
- stop 0.608591
- windscreen 0.605783
- besieged 0.604411
- distance 0.604403
- escort 0.601126
- trolley 0.599842
- dragoon 0.599808
- airport 0.598973
- freight 0.598726
- wheel 0.598581
- enemy 0.597406
- tractor 0.596719
- rocket 0.596639
- steam 0.596604
- corporal 0.595760
- tow 0.595208
- station 0.594874
in his campaign plane and bus.
on foot.
on foot.
aboard the Argentinian ship Tierra del Fuego II.
by air.
by helicopter.
by plane.
by taxi.
on foot.
by cable cars and chair lifts.
by plane.
NNcampaign
NNplane
NNbus
NNfoot
NNfoot
JJArgentinian
NNship
NPTierra
FWdel
NPFuego
NPII
NNair
NNhelicopter
NNplane
NNtaxi
NNfoot
NNcable
NNcar
NNchair
NNlift
NNplane
Cluster #0 : 1 instances
Cluster #1 : 5 instances
plane
ship
helicopter
plane
plane
Cluster #2 : 3 instances
Cluster #3 : 3 instances
Cluster #4 : 1 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 1 instances
- campaign 1.000000
- supporter 0.721252
- activist 0.705908
- opposition 0.692363
- campaigning 0.691723
- ilp 0.677317
- backlash 0.666295
- propaganda 0.665888
- manifesto 0.663380
- leader 0.660457
- mosley 0.658376
- populist 0.656708
- activism 0.652984
- sectarian 0.643297
- congressional 0.643216
- communists 0.642785
- reformist 0.639559
- unionist 0.637388
- tuc 0.637295
- tory 0.625572
- leadership 0.625550
- protest 0.623800
- pacifist 0.623625
- rally 0.621459
- agenda 0.621400
- buf 0.618553
- left 0.615945
- republican 0.614410
- mps 0.612212
- party 0.609823
- rethink 0.609653
- bolshevik 0.609290
- meps 0.609274
- inkatha 0.607578
- conservative 0.604055
- purge 0.602757
- nationalist 0.599190
- progressive 0.596941
- coalition 0.596160
- bjp 0.596104
- unionist 0.595926
- anc 0.595585
- setback 0.591489
- popular 0.591329
- environmentalist 0.590406
- mass 0.588144
- nationalist 0.587734
- faction 0.586877
- pac 0.586359
- labour 0.586066
- politician 0.585455
- camra 0.584346
- unity 0.583291
- vote 0.583229
- battle 0.581710
- mobilize 0.579919
- afrikaner 0.579472
- partisan 0.579394
- republican 0.578994
- attempt 0.577925
- fight 0.577231
- wide 0.576065
- solidarity 0.572777
- alliance 0.571424
- democrat 0.568314
- militant 0.567733
- fmln 0.566522
- hesse 0.565243
- party 0.564741
- fatwa 0.563965
- factionalism 0.563795
- fianna 0.563474
- ilp 0.562318
- pledge 0.560044
- democrat 0.560022
- anarchist 0.559934
- gael 0.559254
- odinga 0.558774
- backbench 0.557621
- pozsgay 0.556826
- panther 0.556631
- fein 0.556445
- nsf 0.555863
- nationwide 0.553098
- medvedev 0.551543
- sdp 0.551276
- mcgovern 0.550994
- menshevik 0.550180
- tactic 0.549249
- inkatha 0.549077
- election 0.547227
- initiative 0.546732
- psoe 0.546304
- consternation 0.544937
- hardline 0.544798
- mouvement 0.544266
- sandinista 0.544131
- beaverbrook 0.544008
- fail 0.543409
- sdp 0.543085
Cluster #1 5 instances
- plane 0.960014
- helicopter 0.830051
- aircraft 0.803300
- bomber 0.791582
- fire 0.776036
- flight 0.772644
- ship 0.770956
- convoy 0.763591
- fly 0.740198
- truck 0.734337
- bomb 0.726133
- patrol 0.717438
- sniper 0.711968
- wagon 0.710644
- armoured 0.706714
- train 0.703358
- fighter 0.693683
- jet 0.687611
- aeroplane 0.682694
- shoot 0.679971
- force 0.679735
- lorry 0.679205
- bullet 0.676485
- squadron 0.673631
- crew 0.673517
- dep 0.672212
- boat 0.667911
- troop 0.667335
- amphibious 0.663908
- overland 0.662290
- wheel 0.661459
- strafe 0.659310
- cavalcade 0.655800
- enemy 0.652669
- vehicle 0.652113
- sledge 0.649898
- airport 0.645796
- swerve 0.645439
- army 0.644900
- brigade 0.642226
- cruise 0.640508
- fleet 0.639084
- drive 0.637742
- winch 0.636986
- intercept 0.636817
- runway 0.634682
- ferry 0.634111
- silencer 0.634031
- infantry 0.631961
- wire 0.629487
- parachute 0.629119
- tyre 0.628292
- missile 0.628051
- distance 0.627416
- firing 0.625789
- soldier 0.625752
- tow 0.625241
- jeep 0.625182
- travel 0.624981
- guard 0.624624
- motor 0.623932
- engine 0.622652
- propeller 0.619592
- hairpin 0.619273
- station 0.618473
- route 0.618434
- attacker 0.616644
- speed 0.614681
- mission 0.614253
- army 0.613015
- passenger 0.610843
- mph 0.610684
- driver 0.610120
- submarine 0.609852
- ride 0.606589
- journey 0.605534
- wave 0.605152
- pole 0.603704
- battalion 0.602977
- beirut 0.600180
- van 0.599531
- stretch 0.599524
- commander 0.596978
- speed 0.596407
- detonator 0.596326
- rail 0.593613
- speeding 0.592199
- tracer 0.591904
- ambush 0.591680
- cable 0.588444
- chase 0.586909
- depot 0.586753
- raider 0.586116
- radar 0.585686
- mandalay 0.583889
- cavalry 0.583360
- regiment 0.583312
- airfield 0.583060
- brest 0.581371
- astronaut 0.580628
Cluster #2 3 instances
- taxi 0.926752
- bus 0.915274
- van 0.895407
- car 0.884095
- train 0.825209
- passenger 0.803601
- speeding 0.798200
- driver 0.788850
- bicycle 0.773645
- park 0.772674
- vehicle 0.762677
- bike 0.761594
- motorist 0.757850
- lorry 0.756410
- getaway 0.752110
- truck 0.749404
- thirsk 0.748004
- park 0.746838
- motorcycle 0.746108
- airport 0.745448
- motorway 0.741891
- street 0.735363
- edgware 0.724562
- patrol 0.720093
- drive 0.719293
- dep 0.716244
- freight 0.715832
- siren 0.714028
- ferry 0.709296
- northbound 0.709293
- policeman 0.709008
- station 0.708643
- tram 0.701609
- motorbike 0.701405
- headlight 0.700934
- kerb 0.700832
- garage 0.699711
- station 0.699074
- escort 0.696931
- traffic 0.692880
- motor 0.691661
- westbound 0.691113
- police 0.689577
- gunfire 0.689344
- limousine 0.689197
- motor 0.685895
- steal 0.683621
- heathrow 0.683211
- ambulance 0.681671
- gunman 0.679811
- cab 0.679404
- trailer 0.679384
- parkway 0.673520
- minibus 0.673451
- subway 0.668886
- southbound 0.666552
- mercedes 0.666511
- mercede 0.657292
- capri 0.656508
- escort 0.654946
- depot 0.654039
- uniform 0.652942
- road 0.652138
- pedestrian 0.651189
- depot 0.650247
- hanger 0.648044
- chauffeur 0.647752
- gatwick 0.646421
- rover 0.644872
- lada 0.644452
- drive 0.639222
- scooter 0.639140
- stop 0.637096
- jeep 0.635255
- handbrake 0.634197
- promenade 0.631106
- thief 0.630809
ts 0.630786
- pavement 0.630368
- railway 0.629632
- unhurt 0.629598
- roadblock 0.629574
- fleetwood 0.629190
- joyrider 0.628460
- hoot 0.626706
- shopper 0.626429
- alarm 0.626006
- oncoming 0.624853
- wagon 0.624491
- corporal 0.622278
- blaze 0.622154
- swerve 0.621652
- windscreen 0.621560
- robber 0.621542
- taxis 0.620941
- sniper 0.620537
- fireman 0.619775
- porter 0.619329
- shop 0.619111
- saloon 0.617889
Cluster #3 3 instances
- foot 1.000000
- bend 0.786174
- crouch 0.773213
- top 0.770151
- deck 0.754781
- shaft 0.754720
- ledge 0.748258
- edge 0.740012
- saddle 0.738990
- mast 0.728002
- hind 0.725443
- flank 0.713804
- inch 0.708202
- heel 0.704916
- stirrup 0.704194
- rim 0.703741
- rope 0.702012
- pole 0.699494
- parapet 0.692238
- leg 0.689009
- trench 0.688624
- instep 0.684023
- fork 0.670304
- wall 0.668828
- side 0.667522
- battlement 0.667176
- ground 0.665403
- cockpit 0.663475
- bottom 0.661436
- height 0.660710
- ladder 0.660030
- climb 0.658161
- blade 0.655480
- ridge 0.654084
- starboard 0.652174
- gangplank 0.651579
- metre 0.651150
- holster 0.648978
- wheel 0.648831
- flap 0.646363
- handrail 0.646261
- heave 0.645396
- wire 0.641937
- bent 0.641327
- dive 0.641044
- duck 0.640341
- arch 0.639996
- yard 0.639075
- worktop 0.638061
- handlebar 0.632435
- aft 0.631092
- mound 0.630452
- toe 0.628865
- bent 0.626686
- sword 0.623026
- kneel 0.621397
- lunge 0.620776
- swing 0.620372
- cliff 0.617494
- elbow 0.616649
- slope 0.613915
- wing 0.613879
- precipitous 0.613150
- wheelbarrow 0.612286
- knee 0.612234
- reach 0.612090
- chute 0.611944
- stretch 0.611497
- twist 0.611218
- mount 0.611059
- haunch 0.610965
- boulder 0.610686
- shoulder 0.610658
- talon 0.610557
- fence 0.606389
- stand 0.605145
- dismount 0.603727
- splay 0.603561
- plinth 0.603412
rpacross 0.602513
- ankle 0.601187
- bough 0.600753
- stone 0.600202
- sand 0.600135
- ravine 0.598812
- altar 0.598025
- rampart 0.597807
- steady 0.597713
- knot 0.597458
- somersault 0.597013
- hoist 0.596747
- skirt 0.596593
- stretch 0.595710
- scramble 0.595005
- gybe 0.594491
- lean 0.593823
- stick 0.593468
- sink 0.592623
- steep 0.591413
- cart 0.591099
Cluster #4 1 instances
- lift 1.000000
- cabin 0.733890
- balcony 0.731441
- garage 0.699529
- fitment 0.692500
- saloon 0.691797
- shutter 0.691466
- escort 0.690291
- entrance 0.678294
- check 0.677916
- wheelchair 0.676266
- seating 0.667890
- lounge 0.665638
- rear 0.662830
- elevator 0.660952
- lock 0.658131
- boulevard 0.657341
- padlock 0.655677
- loading 0.655566
- cab 0.653135
- forecourt 0.649392
- corridor 0.648609
- bedroom 0.648008
- unlock 0.647582
- minibar 0.645970
- hotel 0.644839
- passenger 0.644760
- deck 0.641746
- shuttle 0.639706
- veranda 0.638332
- front 0.637889
- bathroom 0.636309
- porter 0.634083
- motorize 0.633316
- seatbelt 0.631520
- door 0.628716
- foyer 0.627760
- toilet 0.627357
- stair 0.627094
- speeding 0.625665
- landing 0.623994
- trolley 0.623688
- rifleman 0.622569
- valet 0.621840
- twins 0.621724
- grille 0.620581
- facility 0.617920
- window 0.616148
- brake 0.616044
- lock 0.614435
- dining 0.613813
- ramp 0.613464
- hinge 0.612937
- eavesdropping 0.612451
- deluxe 0.607204
- exit 0.607084
- suite 0.606544
- slat 0.605166
- parking 0.604740
- drive 0.604116
- slam 0.603696
- driver 0.601472
- mezzanine 0.601004
- cloakroom 0.598042
- carriage 0.596775
- restaurant 0.595870
- airbag 0.594907
- passageway 0.594058
- park 0.593164
- buffet 0.592803
- walk 0.592728
- flight 0.591936
- winch 0.591793
- blind 0.591469
- car 0.591396
- dormer 0.591372
- rear 0.591157
- mortuary 0.590857
- apartment 0.587965
- dep 0.587058
- sauna 0.586713
- leg 0.584541
- bar 0.584450
- room 0.583898
- d'h 0.583760
- kiosk 0.582749
- kitchen 0.582410
- hallway 0.582294
- guest 0.580105
- mari 0.579691
- dreadnought 0.578725
wc 0.578671
- stride 0.577721
- corporal 0.575786
- vestibule 0.575691
- fitted 0.575465
- curtain 0.575273
- showroom 0.573332
- knock 0.572289
- curtain 0.570445
Cluster #5 1 instances
- argentinian 1.000000
- morocco 0.786674
- vietnamese 0.767401
- repatriate 0.763801
- korean 0.748348
- syrian 0.743135
- vietnamese 0.741407
- afghan 0.737125
- marcos 0.728365
- botha 0.727504
- iranian 0.724237
- ultimatum 0.716672
- bosnian 0.715304
- iraq 0.715157
- blockade 0.713515
- rebel 0.708108
- belgian 0.706623
- trafficker 0.705159
- troop 0.702781
- kadhafi 0.702461
- somalia 0.700747
- iran 0.699056
- contra 0.693489
- ecomog 0.692843
- kabul 0.691911
- czechoslovak 0.690720
- kurd 0.689298
- allied 0.688597
- israeli 0.686159
- iraqi 0.681396
- pretext 0.680353
- tito 0.674056
- vietnam 0.672403
- algeria 0.670698
- turkish 0.670120
- jordan 0.669739
- moroccan 0.669289
- destabilize 0.668276
- etienne 0.666357
- retaliation 0.663789
- tonkin 0.663130
- smuggle 0.662557
- damascus 0.662463
- pakistan 0.662296
- manuel 0.661523
- yugoslavian 0.660940
- hussein 0.659998
- cambodia 0.659638
- lebanon 0.659274
- ethiopian 0.658493
- colombian 0.658319
- withdrawal 0.658270
- cuellar 0.656670
- malta 0.656565
- arabia 0.656361
- occupying 0.656310
- contras 0.656005
- cuban 0.655398
- peshawar 0.654867
- aden 0.654155
- viet 0.653445
- saudi 0.653294
- tajikistan 0.652504
- afghanistan 0.652387
- disarm 0.652155
- jordanian 0.651887
- contra 0.651813
- demobilization 0.651720
- austrian 0.650732
- angola 0.650523
- renege 0.650509
- serb 0.650125
- azerbaijan 0.649327
- doe 0.648732
- philippines 0.647909
- uae 0.646658
- sarajevo 0.646217
- lebanese 0.645917
ois 0.643343
- syrian 0.642402
- minh 0.642252
- lao 0.641498
- german 0.640641
- embargo 0.640487
- aristide 0.639369
- libya 0.639159
- kuwait 0.638799
- juba 0.638246
- ababa 0.638189
- rebel 0.637975
- cherbourg 0.637353
- aziz 0.635045
- kazakhstan 0.634691
- romania 0.633942
- pinochet 0.633871
- desist 0.633318
- algerian 0.633290
- czechoslovakia 0.633174
- hostage 0.632847
- argentina 0.632460
Cluster #6 1 instances
- chair 1.000000
- eiderdown 0.825471
- sideboard 0.814232
- armchair 0.809945
- floor 0.809160
- sofa 0.805730
- settee 0.799387
- couch 0.786950
- desk 0.774990
- dais 0.758824
- sit 0.752483
- divan 0.745910
- bunk 0.730170
- hunch 0.727740
- haunch 0.725334
- fireplace 0.724033
- bed 0.720483
- trestle 0.716851
- lean 0.710919
- brazier 0.710232
- seat 0.708334
- glass 0.702726
- cushion 0.698595
- stool 0.696518
rpopen 0.694454
- mathers 0.693107
- bench 0.687244
- locker 0.684967
- elbow 0.682695
- pad 0.679768
- upright 0.677569
- tray 0.675478
- motion 0.674785
- kitchen 0.674644
- upholster 0.674423
- mantelpiece 0.673167
- alcove 0.672041
- stand 0.661042
- plinth 0.660328
- bedside 0.654326
- counterpane 0.651595
- bookcase 0.648282
- holster 0.647409
- baize 0.646235
- tiptoe 0.645238
- recline 0.645200
- curtain 0.644975
- mug 0.644287
- duclos 0.642240
- ashtray 0.640666
- wicker 0.640302
- standing 0.638873
- veranda 0.638251
- mattress 0.637248
- kneel 0.636433
- cubicle 0.634470
- hallway 0.633855
- back 0.633153
- drape 0.631874
- crouch 0.631396
- front 0.630570
- compartment 0.630221
- sink 0.628968
- briefcase 0.628549
- hatch 0.625493
- door 0.624098
- bathroom 0.623217
- table 0.623063
- paperweight 0.622943
- banister 0.620852
- towel 0.620832
- room 0.620640
- chandelier 0.618891
- casement 0.618263
- stair 0.617033
- glance 0.615281
- grille 0.614380
- cupboard 0.614364
- slide 0.613306
- clipboard 0.611844
- towel 0.611489
- skylight 0.611108
- goblet 0.609477
- crouch 0.608134
- tallboy 0.605411
- tureen 0.604608
- pillow 0.601712
- drawer 0.601335
- tankard 0.601048
- upstairs 0.600937
- bedchamber 0.598301
- tumbler 0.597503
- clutch 0.597204
- bedstead 0.596804
- glower 0.596239
- gesture 0.596019
- upright 0.596014
- twiddle 0.595438
- bedcover 0.594975
- holdall 0.594542
Cluster #7 1 instances
fwdel 1.000000
- hoo 0.782647
- helena 0.747230
- dempsey 0.736415
- ugh 0.708530
- yah 0.701203
- cajun 0.694785
- horsy 0.694505
- mil 0.692066
- funny 0.687054
uhuh 0.677056
- windy 0.671610
- creeps 0.669351
- hyper 0.669320
- lesotho 0.664014
- dustman 0.660157
- shaver 0.659750
- eh 0.656385
- scaling 0.653837
- sar 0.652963
- gee 0.652763
- woolworths 0.652375
- dee 0.649694
- flynn 0.647963
- horseradish 0.646225
- wee 0.643755
- yummy 0.643615
fwla 0.643615
- doggy 0.642984
- smart 0.639813
- jump 0.639461
- puke 0.637726
- mucky 0.634240
- tape 0.633744
- ruthie 0.629507
- spud 0.628318
- ze 0.628046
- wrestling 0.626238
- ductile 0.625958
- clapton 0.625415
- scotts 0.624541
- olympus 0.623716
- cheeky 0.620287
- sydenham 0.619647
- boroughbridge 0.619159
- solenoid 0.614295
- clog 0.613813
- bonny 0.613755
- sultana 0.611061
- proper 0.610738
- hislop 0.609162
- is 0.608480
- see 0.606914
- cyclone 0.605653
- ai 0.603759
- eh 0.601857
- egg 0.600863
- lemon 0.600266
- starter 0.600209
- nifty 0.599177
- antique 0.598104
- watney 0.596585
- garden 0.596450
- gorgeous 0.596287
- twin 0.595460
- papua 0.595278
- wanda 0.595126
- gingerbread 0.595125
- yves 0.593258
- ko 0.592491
- shape 0.592012
- dum 0.591589
- wow 0.591360
Cluster #8 1 instances
- ii 1.000000
- iii 0.956096
- iv 0.918259
- vi 0.808529
- viii 0.723207
- vii 0.706391
- fra 0.652989
- t 0.640756
- henry 0.636230
- albrecht 0.631301
- q 0.626480
- edward 0.623943
- v 0.622935
- asc 0.619881
- bennet 0.619403
- de 0.612812
- louis 0.607126
- ld 0.605114
- frederick 0.602688
- h 0.600900
- j 0.600163
- redman 0.597427
- tcr 0.591625
Cluster #9 1 instances
- air 1.000000
- heat 0.761488
- wind 0.751340
- cold 0.723025
- burning 0.710541
- icy 0.710070
- light 0.697686
- heavy 0.685344
- hot 0.675951
- steam 0.666409
- sea 0.662125
- water 0.661126
- flame 0.646800
- cool 0.638561
- weather 0.632706
- warm 0.631582
- deep 0.630868
- gas 0.630111
- fire 0.628616
- sun 0.627963
- smoke 0.623607
- darkness 0.619582
- dry 0.617262
- liquefy 0.616641
- smell 0.616309
- electric 0.614215
- sunlight 0.601660
- ocean 0.601287
- throb 0.599134
- rain 0.598373
- daylight 0.595195
- dust 0.594452
- gust 0.592567
Cluster #10 1 instances
- cable 1.000000
- radar 0.785177
- terminal 0.751610
- pantograph 0.735138
- rail 0.729116
- installation 0.718709
- circuit 0.707568
- satellite 0.707469
- tram 0.698322
- brake 0.698188
- digital 0.697284
- servo 0.684643
- gauge 0.679249
- controller 0.675250
- operator 0.673132
- sensor 0.672113
- station 0.672045
- switch 0.667447
- freight 0.660900
- stereo 0.659370
- transmitter 0.657387
- device 0.656525
- engine 0.655961
- machine 0.655437
- virtual 0.655150
- adapter 0.653195
- overhead 0.648608
- backup 0.645286
- locomotive 0.642428
- plotter 0.642125
- optic 0.639270
- shuttle 0.637407
- gateway 0.635148
- laser 0.634937
- osi 0.634007
- metro 0.632892
- railway 0.630452
- fleetwood 0.628735
- telegraph 0.625944
- accelerator 0.624633
- missile 0.624238
- upgrade 0.623963
- hardware 0.623819
- bus 0.623583
- passenger 0.621689
- mobile 0.621388
- loop 0.620879
- infra 0.620589
- aircraft 0.619977
- cordless 0.619356
- encina 0.619067
- converter 0.618823
- motorway 0.618791
- drive 0.617279
- prototype 0.616048
- bhp 0.615928
- port 0.615872
- traction 0.613371
- intercity 0.612583
- capability 0.612214
- automatic 0.611743
- monitor 0.611377
- install 0.610795
- wagon 0.610191
- mach 0.609763
- printer 0.608897
- network 0.608829
- subway 0.608449
- scanner 0.607146
- helicopter 0.606891
- hawk 0.606754
- auto 0.605245
- gui 0.605110
- safrane 0.604219
- train 0.604144
- toyota 0.601396
- cc 0.600863
- depot 0.600819
- trailer 0.600765
- saloon 0.600451
- hub 0.600217
- coaxial 0.599406
- grid 0.598805
- penge 0.596494
- usaf 0.594635
- hertz 0.593953
- appliance 0.593938
- plug 0.593910
- rechargeable 0.593798
- svr 0.593745
- battery 0.592949