Cause (Cause_to_make_noise)
Stats
- Average : 0.691738
- Std dev. : 0.0605968
- Min : 0.631141
- Max : 0.828440
- FEs : 4
Descriptors
Too few elements
Legend = verbs; nouns; adjectives; proper noun; french
- van 0.828440
- taxi 0.827074
- car 0.823749
- street 0.813140
- bicycle 0.808966
- train 0.808660
- bus 0.801282
- lorry 0.794488
- park 0.778820
- vehicle 0.773684
- truck 0.769450
- park 0.766790
- patrol 0.757690
- westbound 0.756666
- headlight 0.754763
- speeding 0.753812
- gunfire 0.751287
- getaway 0.751155
- drive 0.743081
- siren 0.738265
- road 0.733074
- bike 0.731958
- traffic 0.730733
- ramp 0.728406
- edgware 0.728347
- driver 0.728312
- passenger 0.727527
- motorway 0.717246
- motorist 0.715717
- jeep 0.711507
- blaze 0.710273
- fog 0.708749
- thirsk 0.705611
- pavement 0.703054
- station 0.701284
- northbound 0.700912
- hanger 0.700322
- swerve 0.697864
- botley 0.692725
- kerb 0.692354
- promenade 0.690140
- tram 0.690103
- oncoming 0.689364
- corporal 0.687136
- motor 0.685706
- subway 0.681293
- gate 0.678958
- motorcycle 0.678873
- yard 0.674841
- trailer 0.674379
- rut 0.673690
- hoot 0.672055
- sniper 0.672020
- dep 0.671582
- strafe 0.668852
- motor 0.668243
- alley 0.668198
- station 0.667698
- ferry 0.666224
- checkpoint 0.665389
- southbound 0.664257
- flyover 0.661573
- fireman 0.660152
- scooter 0.658929
- airport 0.657483
- escort 0.655601
- pedestrian 0.654898
- drive 0.652072
- roadway 0.652015
- collide 0.651278
- gate 0.650928
- nearby 0.650404
- cart 0.650396
- garage 0.648593
- halt 0.644960
- boulevard 0.644488
- ambush 0.643405
- mile 0.642805
- carriageway 0.642739
- chamonix 0.642729
- gunman 0.642313
- patrol 0.642114
- walk 0.641503
- windscreen 0.641219
- convoy 0.641192
- wagon 0.640750
- carriage 0.640381
- freight 0.639205
- tractor 0.639092
- crash 0.638602
- tunnel 0.638206
- limousine 0.636899
- rev 0.635292
- bazaar 0.635262
- barracks 0.635205
- guard 0.634941
- underground 0.634033
- depot 0.632576
- chippenham 0.632173
- alleyway 0.631141
A nearby car.
taxis.
The tram.
the wind outside that.
JJnearby
NNcar
NNtaxi
NNtram
NNwind
Cluster #0 : 1 instances
Cluster #1 : 2 instances
Cluster #2 : 1 instances
Cluster #3 : 1 instances
Cluster #0 1 instances
- nearby 1.000000
- outskirts 0.783663
- neighbour 0.707093
- raid 0.679833
- riverside 0.660181
- vandalize 0.649128
- wormwood 0.649074
- lodge 0.645030
- village 0.644660
- disused 0.644300
- woodstock 0.643288
- adjacent 0.641962
- adjoining 0.640605
- suburb 0.638687
- desert 0.637974
- derelict 0.636612
- lydney 0.631557
- soweto 0.625299
- botley 0.625027
- raze 0.620343
- gloucestershire 0.615833
- northamptonshire 0.614695
- dormitory 0.613832
- ormesby 0.610942
- park 0.608536
- environs 0.606639
- vicinity 0.606385
- taunton 0.605973
- evacuate 0.605506
- stroud 0.602518
- lanchester 0.601399
- patrol 0.596922
- evesham 0.596735
- castle 0.594941
- workman 0.594602
- town 0.593911
- quayside 0.593017
- numerous 0.591830
- surround 0.591625
- witham 0.591020
- grange 0.589869
- perthshire 0.589556
- haughton 0.587811
- landscape 0.586368
- notting 0.583873
- farm 0.583231
- crowded 0.582924
- srinagar 0.581831
- headington 0.581159
- board 0.580398
- ruthin 0.579101
- gymnasium 0.578604
- darlington 0.577639
- hanger 0.577489
- alnwick 0.577426
- lanes 0.577102
- gravel 0.575047
- schoolhouse 0.574832
- outbuilding 0.572342
- shack 0.571459
- reigate 0.568686
- quiet 0.568488
- motel 0.568351
- sprawling 0.567372
- makeshift 0.567366
- crowded 0.566917
- maple 0.566456
- chippenham 0.566418
- cotswold 0.565903
- lyonette 0.565774
- commandeer 0.564988
- aylesbury 0.564817
- shelter 0.563911
- abandoned 0.563343
- leafy 0.563156
- farmyard 0.563142
- walled 0.562595
- aviemore 0.561831
- cottage 0.561745
- camping 0.561733
- hoarding 0.561485
- salah 0.561384
- easington 0.561298
- churchyard 0.559315
- picturesque 0.558871
- barracks 0.558529
- perimeter 0.558262
- inverness 0.557204
- playground 0.556873
- basement 0.556576
- friel 0.555736
- seaside 0.555471
- house 0.555444
- converted 0.555108
- belvedere 0.554407
- wavertree 0.554071
- lakeside 0.554015
- neighbourhood 0.553829
- hungerford 0.553089
- middleton 0.551373
Cluster #1 2 instances
- taxi 0.929267
- car 0.929266
- van 0.917546
- driver 0.820048
- speeding 0.810845
- bicycle 0.804107
- bus 0.801225
- park 0.792113
- truck 0.789317
- passenger 0.784581
- steal 0.783679
- vehicle 0.779005
- bike 0.778828
- motorist 0.778705
- lorry 0.772569
- getaway 0.769806
- motorcycle 0.763329
- train 0.761760
- drive 0.755944
- street 0.747816
- garage 0.737904
- kerb 0.728024
- motor 0.727113
- policeman 0.726448
- park 0.723759
- thirsk 0.719404
- mercede 0.719143
- chauffeur 0.718712
- thief 0.715975
- gunman 0.713927
- airport 0.705056
- motor 0.704456
- motorbike 0.703839
- limousine 0.703035
- scooter 0.699933
- northbound 0.696848
- edgware 0.696009
- escort 0.693192
- headlight 0.690570
- dep 0.687587
- patrol 0.686964
- roadblock 0.685058
- handbrake 0.680116
- police 0.677855
- gunfire 0.674073
- escort 0.672904
- siren 0.671382
- rover 0.669816
- mercedes 0.668078
- jeep 0.667799
- cop 0.664857
- cab 0.662760
- swerve 0.661848
- motorway 0.659770
- trailer 0.658466
- joyrider 0.657213
- shopper 0.656330
- lada 0.654907
- burglar 0.654228
- volvo 0.653425
- unhurt 0.652656
- sniper 0.652430
- fiesta 0.651818
- freight 0.651705
- windscreen 0.650207
- oncoming 0.646975
- minibus 0.646007
- petrol 0.645520
- guard 0.645453
- ferry 0.644738
- robber 0.644726
- corporal 0.643296
- shotgun 0.641787
- westbound 0.640983
- pavement 0.640975
- crash 0.640689
- unmarked 0.639689
- uniform 0.638490
- station 0.637601
- hoot 0.637091
- gangue 0.634764
- botley 0.634117
- cortina 0.633957
- limo 0.631379
- burglary 0.630838
- traffic 0.630164
- montego 0.627815
- forecourt 0.627131
- hanger 0.626241
- fireman 0.625761
- ambulance 0.625550
- shop 0.624614
- porter 0.624463
- drive 0.624336
- escort 0.623910
- moped 0.623332
- alarm 0.622238
- lift 0.621576
- pedestrian 0.619945
- saloon 0.619638
Cluster #2 1 instances
- wind 1.000000
- cloud 0.839292
- tide 0.810833
- mist 0.786956
- sea 0.786615
- snow 0.782161
- breeze 0.778242
- sun 0.771501
- wave 0.767339
- gust 0.764965
- sky 0.760803
- rain 0.760661
- storm 0.751652
- air 0.751340
- current 0.725126
- thunder 0.713331
- altitude 0.705158
- gale 0.703926
- hiss 0.703018
- heat 0.700317
- ocean 0.689386
- gush 0.685291
- darkness 0.684942
- icy 0.684439
- swell 0.683348
- sunlight 0.682413
- muddy 0.681567
- speed 0.675922
- noise 0.675750
- surf 0.673079
- parched 0.671434
- water 0.671380
- cloudless 0.667767
- sand 0.667259
- roar 0.666943
- weather 0.665457
- sound 0.665254
- deep 0.664346
- moon 0.662242
- prow 0.657363
- waterfall 0.657303
- vapour 0.657228
- pitch 0.656426
- torrential 0.655340
- lap 0.652461
- liquefy 0.649476
- spongy 0.647434
- rock 0.645147
- river 0.642050
- drizzle 0.640517
- grass 0.639838
- niagara 0.639425
- foam 0.638234
- diver 0.637147
- fog 0.636167
- flame 0.634491
- temperature 0.634382
- stream 0.634134
- ice 0.633318
- thunderstorm 0.631974
- whine 0.631303
- surface 0.630506
- rev 0.628344
- hertz 0.627318
- evaporation 0.627152
- ripple 0.626833
- burst 0.624644
- ripple 0.624487
- downpour 0.623176
- lough 0.621278
- leafless 0.620831
- humidity 0.619861
- stillness 0.618950
- frost 0.615990
- moorland 0.614619
- swim 0.613510
- swirl 0.612872
- pound 0.612704
- squall 0.612635
- vibration 0.612442
- salinity 0.610830
- thud 0.609501
- rumble 0.609260
- midge 0.608871
- steam 0.607107
- moisture 0.606395
- mountainside 0.606276
- dense 0.605884
- overcast 0.605442
- gusty 0.603537
- soggy 0.603438
- flood 0.603244
- slope 0.602826
- trill 0.602348
- evaporate 0.602313
- emit 0.602254
- fahrenheit 0.600174
- stretch 0.600169
- hail 0.600059
- bubble 0.600021
Cluster #3 1 instances
- tram 1.000000
- subway 0.806969
- bus 0.771086
- trolleybus 0.746696
- shuttle 0.732952
- motorway 0.731531
- metro 0.731141
- station 0.730278
- train 0.722244
- depot 0.719310
- promenade 0.716472
- zurich 0.715738
- mitcham 0.713164
- railway 0.711042
- bogie 0.711011
- wagon 0.702007
- cable 0.698322
- roadwork 0.697413
- penge 0.697131
- tramway 0.688357
- fleetwood 0.687827
- anerley 0.684983
- capri 0.684761
- purley 0.682994
- telegraph 0.680338
- gate 0.679171
- locomotive 0.678502
- tramcar 0.676680
- freight 0.673801
- waterloo 0.673607
- hearse 0.671668
- woodhead 0.669869
- hovercraft 0.668312
- euston 0.667367
- bicycle 0.667265
- didcot 0.666580
- farnborough 0.662317
- warrior 0.661077
- headlight 0.659332
- motorbike 0.658728
- turnpike 0.658642
- parkway 0.657322
- trailer 0.656686
- tunnel 0.656233
- passenger 0.656206
- pantograph 0.651799
ts 0.651236
- dep 0.649595
- loco 0.647819
- depot 0.647734
- gateway 0.646643
- line 0.646226
- dep 0.641753
- keld 0.639833
- ramp 0.639665
- rail 0.634180
- edgware 0.634038
- train 0.630386
- southbound 0.629742
- trolleybuses 0.629534
- terminus 0.629489
- stop 0.627816
- pedestrian 0.627208
- station 0.626019
- halt 0.622072
- autobahn 0.621088
- sedan 0.615719
- metro 0.615689
- marton 0.615267
- viaduct 0.614835
- carriage 0.614737
- intercity 0.612253
- dock 0.610770
- highway 0.610737
- saloon 0.608762
- pullman 0.608572
- taxi 0.607851
- mercedes 0.606071
- brake 0.605296
- ferry 0.604641
- torpedo 0.603173
- wick 0.601965
- unhurt 0.599033
- croydon 0.598624
- elevator 0.598602
- shunt 0.598136
- wars 0.597757
- airport 0.597383
- wolverton 0.596865
- speeding 0.596832
- windscreen 0.592718
- crematorium 0.592369
- rooftop 0.592196
- warehouse 0.591750
- motorist 0.591743
- porsche 0.591630
- gotthard 0.590068
- via 0.587762
- heathrow 0.585958
- facelift 0.583070