Source (Getting)
Stats
- Average : 0.502195
- Std dev. : 0.0356472
- Min : 0.466548
- Max : 0.604176
- FEs : 37
Descriptors
Legend = verbs; nouns; adjectives; proper noun; french
- south 0.604176
- east 0.599804
- india 0.592173
- central 0.580931
- north 0.575612
- west 0.573115
- london 0.559214
- region 0.555155
- royal 0.548785
- remain 0.547176
- site 0.543326
- great 0.543250
- new 0.543097
- port 0.536808
- museum 0.535501
- los 0.534770
- country 0.534609
- isle 0.534204
- visit 0.533777
- southern 0.526717
- netherlands 0.523753
- islands 0.521890
- devon 0.520019
- island 0.518474
- paris 0.518381
- bank 0.516361
- edinburgh 0.516068
- thailand 0.515979
- mexico 0.515665
- marine 0.515637
- canada 0.514247
- baltic 0.513021
- anglia 0.512021
- kent 0.511718
- trust 0.510765
- brussels 0.509404
- british 0.508067
- africa 0.506353
- conservator 0.504490
- holland 0.503683
- american 0.503617
- numerous 0.502381
- york 0.500332
- air 0.500088
- mint 0.497740
- pennsylvania 0.496238
- tropical 0.495628
- western 0.494414
- victoria 0.492219
- birmingham 0.491803
- museum 0.491515
- indian 0.491455
- georgia 0.491333
- switzerland 0.490486
- philadelphia 0.490451
- laboratory 0.490005
- berlin 0.487556
- sussex 0.486682
- several 0.486564
- complex 0.485703
- reserve 0.485586
- washington 0.481694
- northern 0.481055
- kenya 0.480940
- bassano 0.480739
- red 0.479886
- consulate 0.479502
- northern 0.479187
- colony 0.478954
- florence 0.478159
- resident 0.478157
- visitor 0.477346
- patron 0.477340
- field 0.477176
- staffordshire 0.476887
- tourist 0.476671
- northamptonshire 0.476254
- scotland 0.475251
- kingdom 0.474988
- isles 0.474909
- hospitals 0.474052
- australia 0.473724
- horn 0.473428
- flora 0.473401
- area 0.473224
- uganda 0.472305
- reindeer 0.472149
- nigeria 0.471830
- pollen 0.470085
- country 0.469550
- zoo 0.469056
- florida 0.469010
- america 0.469008
- michigan 0.468833
- mauritius 0.468322
- imperial 0.467784
- cross 0.467707
- asia 0.467329
- atomic 0.467084
- clydeside 0.466548
from a dealer.
from the basic pension.
from his briefcase.
from school.
from the Burgess site.
from Our Lady 's Bookshop.
from elsewhere in southern England , in France , and in the USA.
from each twin in whom sigmoidoscopy could be carried out.
from each child.
from the authors.
from the public relations department.
from ISA.
from the government 's Food and Drug Administration.
from the local superintendent registrar.
from as varied sources as possible.
from an additional group of six patients with ulcerative colitis.
from a Southampton supporter.
direct from the Royal Albert Hall.
from Nalg.
from a friend who had deserted from the war in Armenia.
from an extra-sensory perception researcher in Texas.
From one or other of them.
from as few sources as possible.
a place from where.
from plants and one of the oldest of these is the red dye henna , obtained from the powdered dried leaves of the plant Lawsonia inermis.
from the Ski Club Meltdown office at 77 Church Road , Hove , East Sussex , BN3 2BB.
from the gas-fire.
from plants.
from various sources.
from somewhere.
from an animal sanctuary.
from countries other than the USA and the Soviet Union.
from local people.
from somewhere.
from artists/dealers/auctions in Italy and Paris.
from the same caravan site.
at The Haven.
NNdealer
JJbasic
NNpension
NNbriefcase
NNschool
NPBurgess
NNsite
NPLady
NPBookshop
JJsouthern
NPEngland
NPFrance
NPUSA
NNtwin
NNsigmoidoscopy
VVcarry
RPout
NNchild
NNauthor
JJpublic
NNrelation
NNdepartment
NPIsa
NNgovernment
NNs
NPFood
NPDrug
NPAdministration
JJlocal
NNsuperintendent
NNregistrar
VVvary
NNsource
JJpossible
JJadditional
NNgroup
NNpatient
JJulcerative
NNcolitis
NPSouthampton
NNsupporter
JJdirect
NPRoyal
NPAlbert
NPHall
NPNalg
NNfriend
VVdesert
NNwar
NPArmenia
JJextra-sensory
NNperception
NNresearcher
NPTexas
JJother
JJfew
NNsource
JJpossible
NNplace
NNplant
JJold
JJred
NNdye
NNhenna
VVobtain
JJpowdered
VVdry
NNleaf
NNplant
NNLawsonia
NNinermis
NPSki
NPClub
NNmeltdown
NNoffice
NPChurch
NPRoad
NPHove
NPEast
NPSussex
NNgas-fire
NNplant
JJvarious
NNsource
JJanimal
NNsanctuary
NNcountry
JJother
NPUSA
NPSoviet
NPUnion
JJlocal
NNpeople
NPItaly
NPParis
JJsame
NNcaravan
NNsite
NPHaven
Cluster #9 : 13 instances
southern
france
usa
armenia
east
country
usa
soviet
union
italy
Cluster #27 : 6 instances
Cluster #48 : 6 instances
plant
dye
dry
leaf
plant
plant
Cluster #9 13 instances
- germany 0.950530
- france 0.921643
- italy 0.912701
- netherlands 0.904901
- turkey 0.904578
- china 0.903629
- india 0.903075
- korea 0.896421
- states 0.895422
- czechoslovakia 0.893266
- usa 0.892454
- russia 0.887491
- belgium 0.886973
- africa 0.886858
- spain 0.886268
- asia 0.885875
- poland 0.882414
- canada 0.880926
- europe 0.880142
- hungary 0.879052
- eastern 0.879044
- mexico 0.871046
- country 0.869168
- soviet 0.865604
- eastern 0.860514
- japan 0.857032
- austria 0.855471
- switzerland 0.852300
- western 0.848632
- america 0.845624
- sweden 0.844742
- greece 0.843925
- yugoslavia 0.840301
- ussr 0.838279
- east 0.826558
- portugal 0.823876
- middle 0.823138
- united 0.818226
- republic 0.817363
- brazil 0.815682
- cuba 0.814440
- argentina 0.814025
- pacific 0.810944
- arabia 0.810008
- arab 0.800413
- thailand 0.799525
- warsaw 0.796205
- israel 0.794564
- finland 0.790219
- egypt 0.788973
- pakistan 0.787135
- denmark 0.783944
- european 0.779819
- malaysia 0.779240
- indonesia 0.778612
- western 0.776290
- union 0.775021
- territory 0.770362
- baltic 0.769957
- saudi 0.768030
- emirates 0.767266
- continent 0.766913
- romania 0.766064
- baltic 0.765233
- industrialized 0.761350
- algeria 0.760548
- south 0.759709
- ukraine 0.759689
- commonwealth 0.759031
- scandinavia 0.758027
- bahrain 0.757997
- ec 0.757707
- arab 0.753109
- oman 0.751650
- uruguay 0.750848
- west 0.750732
- philippines 0.749742
- chile 0.748592
- taiwan 0.748388
- far 0.746841
- southern 0.746673
- iran 0.746579
- americas 0.746256
- kingdom 0.744318
- vietnam 0.742135
- singapore 0.741945
- venezuela 0.741646
- benelux 0.738554
- norway 0.736781
- nations 0.734204
- consulate 0.733846
- soviet 0.733567
- mediterranean 0.732239
- yalta 0.731892
- syria 0.731191
- dutch 0.729622
- bulgaria 0.728603
- diplomatic 0.728042
- republic 0.726929
- yemen 0.726870
Cluster #27 6 instances
- sussex 0.891685
- road 0.853357
- bristol 0.840446
- kent 0.840085
- tyne 0.832543
- avenue 0.831841
- birmingham 0.820741
- lane 0.820712
- london 0.815778
- estate 0.810188
- gardens 0.810041
- hertfordshire 0.808198
- suffolk 0.808134
- surrey 0.801257
- brighton 0.796571
- hove 0.793522
- hull 0.790554
- belfast 0.790179
- kensington 0.788001
- berkshire 0.785566
- manor 0.784869
- stratford 0.784861
- place 0.784694
- newington 0.782293
- guildford 0.782135
- somerset 0.781689
- park 0.781485
- street 0.781059
- kings 0.780213
- hall 0.779585
- bridge 0.778574
- stockwell 0.777960
- greenwich 0.776974
- port 0.774915
- dorset 0.772442
- town 0.772022
- end 0.770932
- sutton 0.770830
- eastbourne 0.769973
- plymouth 0.769023
- northampton 0.767908
- haven 0.767668
- clifton 0.767341
- harrow 0.766720
- brompton 0.764976
- acton 0.760058
- whitby 0.760003
- cornwall 0.759113
- essex 0.758153
- colchester 0.757697
- square 0.757501
- grove 0.756141
- edinburgh 0.754586
- bath 0.754329
- chester 0.752881
- richmond 0.752281
- carmarthen 0.752257
- stamford 0.750366
- brunswick 0.750054
- dock 0.747414
- close 0.747379
- hill 0.744405
- gate 0.744222
- norfolk 0.743568
- bedford 0.743128
- newport 0.740677
- ferry 0.740212
- cheshire 0.740192
- maidenhead 0.740095
- kennington 0.738946
- petersfield 0.738416
- slough 0.738280
- manchester 0.737670
- glasgow 0.736855
- northamptonshire 0.734719
- kirkby 0.733639
- hampshire 0.733539
- northumberland 0.733461
- highgate 0.732272
- brecon 0.732225
- suburb 0.731337
- peterborough 0.731313
- row 0.731251
- holborn 0.729815
- kingston 0.728887
- herts 0.728664
- middlesex 0.727039
- bedfordshire 0.726849
- haughton 0.725581
- albans 0.724854
- perthshire 0.721034
- elgin 0.720553
- buckinghamshire 0.720492
- newcastle 0.720488
- auckland 0.720383
- londonderry 0.719736
- york 0.719541
- hampton 0.719227
- nottingham 0.719099
- blackfriars 0.719065
Cluster #48 6 instances
- plant 0.927063
- salt 0.864526
- mineral 0.843891
- dye 0.838374
- resin 0.833195
- seaweed 0.822006
- fish 0.821266
- seed 0.820438
- fungicide 0.818723
- algae 0.817104
- spray 0.811393
- clay 0.808421
- soil 0.806557
- aromatic 0.805277
- leaf 0.804552
- dry 0.803132
- herb 0.797944
- crop 0.793886
- vegetable 0.790240
- fruit 0.790158
- egg 0.789562
- coral 0.778505
- aquarium 0.775886
- peat 0.774927
- feed 0.774633
- water 0.770597
- ice 0.768755
- organic 0.768231
- layer 0.767874
- plankton 0.767045
- rhizome 0.765658
- porous 0.765574
- oxygenate 0.763663
- container 0.763617
- compost 0.762199
- weed 0.759247
- fungus 0.758690
- snail 0.755187
- lime 0.754534
- sand 0.753203
- lily 0.751436
- wood 0.751248
- coral 0.750898
- frothy 0.746516
- tank 0.746302
- ethylene 0.745612
- bogwood 0.744461
- larva 0.743442
- foliage 0.742655
- fertilizer 0.742188
- loam 0.741943
- debris 0.740662
- nutrient 0.739213
- caterpillar 0.738783
- grain 0.738120
- lavender 0.737622
- edible 0.735408
- pond 0.734511
- berry 0.729853
- dry 0.729802
- vegetation 0.728003
- meat 0.726630
- powder 0.726456
- mix 0.725716
- emulsion 0.724723
- shell 0.724481
- softener 0.723877
- chemical 0.721178
- brackish 0.721019
- surface 0.720327
- cress 0.719859
- puree 0.717317
- lime 0.716706
- aquatic 0.715353
- soluble 0.714665
- silt 0.713939
- moist 0.713636
- distilled 0.713442
- marine 0.711621
- pollen 0.710200
- shrimp 0.709680
- plastic 0.709253
- synthetic 0.708134
- charcoal 0.708051
- pot 0.706313
- substrate 0.706018
- cereal 0.705953
- preservative 0.704697
- detergent 0.704217
- gelatin 0.703721
- apple 0.703502
- tubifex 0.703279
- poisonous 0.702865
- waste 0.702417
- habitat 0.701648
- liquid 0.701434
- phenol 0.701315
- mixture 0.701063
- nut 0.700731
- moss 0.700098