Addressee (Communication_manner)
Stats
- Average : 0.66942
- Std dev. : 0.0431743
- Min : 0.626246
- Max : 0.812755
- FEs : 141
Descriptors
Legend = verbs; nouns; adjectives; proper noun; french
- charlie 0.812755
- annie 0.778602
- rachel 0.768982
- joe 0.757871
- kate 0.756554
- marie 0.746205
- alice 0.739370
- susan 0.735349
- johnny 0.732171
- jack 0.729451
- harry 0.728009
- maggie 0.719264
- evelyn 0.717119
- melanie 0.716748
- rose 0.713035
- oliver 0.710009
- sarah 0.707838
- grin 0.706169
- lily 0.704577
- smile 0.702614
- caroline 0.697587
- tina 0.697122
- peggy 0.694504
- louise 0.691862
- anna 0.690114
- gabriel 0.690033
- madame 0.689919
- billy 0.683124
- helen 0.682190
- toby 0.680471
- emily 0.680144
- nina 0.678311
- laugh 0.677531
- madeleine 0.676682
- miss 0.675343
- adam 0.674929
- jamie 0.674001
- doyle 0.670790
- connor 0.669826
- paula 0.665254
- gina 0.665156
- agnes 0.664472
- sam 0.662775
- jake 0.661767
- karen 0.661563
- willie 0.658860
- lucy 0.658160
- betty 0.656561
- julie 0.656392
- nell 0.655905
- katherine 0.654025
- eleanor 0.653853
- jennifer 0.653524
- nathan 0.652876
- benny 0.652809
- barbara 0.651842
- christina 0.649838
- michele 0.649802
- bridget 0.647990
- angel 0.647618
- nora 0.647534
- carrie 0.647298
- pamela 0.645993
- donna 0.645917
- kathleen 0.645458
- sara 0.645401
- hilary 0.643751
- nod 0.643223
- laura 0.643174
- elaine 0.642993
- finn 0.642743
- xanthe 0.642189
- jo 0.642053
- alexandra 0.641427
- miranda 0.640905
- meredith 0.640590
- shelley 0.639495
- rory 0.639041
- sally 0.638790
- alain 0.638678
- sophie 0.636396
- uncle 0.636315
- smile 0.636099
- fanshawe 0.635912
- nicola 0.635578
- sean 0.635230
- maria 0.634322
- ellen 0.633863
- blanche 0.633780
- martha 0.633235
- jane 0.633208
- juliet 0.632421
- marc 0.631549
- greg 0.630304
- doreen 0.630105
- girlfriend 0.628972
- stranger 0.628876
- mcculloch 0.628268
- harker 0.626480
- frankie 0.626246
to us.
to their deliverers.
at me.
to those watching from balconies.
to herself.
to herself.
to himself.
to himself.
to Alfred who had somehow managed to join them.
to her brother-in-law.
to the chap with the soulful face.
to each other.
to him.
to the unemployed.
to you.
to a somewhat sceptical family who were not accustomed to thinking of Bodo in this new and totally unexpected light.
to the party at the other end of the line.
to an off-screen interrogator.
to the three gaping sisters.
to himself.
to herself.
at him.
at them.
to the girl.
to each other.
to his friends.
at Ho.
at Fenella.
at each other.
to himself.
to me.
to Nigel.
to another.
to himself.
to frumpy girls in spectacles or Filipino nurses who neighed dutifully at jokes they did not understand.
to himself.
to himself.
to himself.
to himself.
to myself.
to myself.
to them.
to himself.
to Bob.
to Catesby.
to herself.
to him.
to himself.
to himself.
to himself.
to himself.
to the man.
to the young man beside him.
to yourself.
at each other.
to the motherly dresser , who handed him his hat.
to herself.
to herself.
to himself.
to himself.
to himself.
to Maggie.
at me.
to yourself.
to themselves.
with you.
with strangers.
to Kevin.
to the viewer.
at a young police woman.
at Richard.
to adoring crowds.
at me.
at Maurin.
at me.
at them.
at them.
at the black players.
at 65-year-old Jack.
at Endill.
at him.
at the Poles.
at us.
at workmen.
to Defries.
to Grace.
to me.
across to Rocky.
across to somebody.
to the driver.
to the two Tibetans by the fire.
at.
at.
at you.
at Bobbie.
at her.
at him.
at it.
at the men behind the counter.
at them.
to the audience.
to a friend.
to her.
to him.
to the riders.
after Maggie.
after them.
after the woman.
at.
to four or five brother officers.
to Kelly.
to her.
to them.
to him.
at Jan.
at Miss Harker.
to cattle.
to her.
to someone in particular.
to Charlie.
to the Duchess of York.
to herself.
to me.
to myself.
to Christian.
to the Lady Maeve.
to Delaney.
to each other.
to Harry.
to Mum.
to the Bookman.
to his Gascon favourite.
to Anne.
to Connon.
to Fiona.
to her.
to herself.
to himself.
to me.
to her.
to Ranulf and Maltote.
NNdeliverer
NNwatching
NNbalcony
NPAlfred
VVmanage
VVjoin
NNbrother-in-law
NNchap
JJsoulful
NNface
JJother
JJunemployed
JJsceptical
NNfamily
VVaccustom
VVthink
NPBodo
JJnew
JJunexpected
NNlight
NNparty
JJother
NNend
NNline
NNoff-screen
NNinterrogator
VVgape
NNsister
NNgirl
JJother
NNfriend
NPHo
NPFenella
JJother
NPNigel
JJfrumpish
NNgirl
NNspectacle
JJFilipino
NNnurse
VVneigh
NNjoke
VVdo
VVunderstand
NPBob
NPCatesby
NNman
JJyoung
NNman
JJother
JJmotherly
NNdresser
VVhand
NNhat
NPMaggie
NNstranger
NPKevin
NNviewer
JJyoung
NNpolice
NNwoman
NPRichard
VVadore
NNcrowd
NPMaurin
JJblack
NNplayer
NPJack
NPEndill
NPPoles
NNworkman
NPDefries
NPGrace
NPRocky
NNsomebody
NNdriver
NNTibetan
NNfire
NPBobbie
NNman
NNcounter
NNaudience
NNfriend
NNrider
NPMaggie
NNwoman
NNbrother
NNofficer
NPKelly
NPMiss
NPHarker
NNcattle
NNsomeone
JJparticular
NPCharlie
NNduchess
NPYork
NPChristian
NPLady
NPMaeve
NPDelaney
JJother
NPHarry
JJmum
NPBookman
JJGascon
NNfavourite
NPAnne
NPConnon
NPFiona
NPRanulf
NPMaltote
Cluster #2 : 19 instances
alfred
sister
nigel
bob
kevin
richard
jack
grace
brother
kelly
miss
duchess
lady
harry
anne
fiona
Cluster #7 : 8 instances
other
other
other
other
other
particular
other
Cluster #13 : 13 instances
bodo
fenella
catesby
maggie
endill
bobbie
maggie
bookman
connon
ranulf
Cluster #39 : 7 instances
man
young
man
young
woman
man
woman
Cluster #2 19 instances
- harry 0.897515
- stephen 0.897445
- anne 0.891178
- jack 0.866606
- jane 0.864737
- tom 0.861222
- ralph 0.847803
- mary 0.845133
- lady 0.840838
- sarah 0.839226
- joe 0.838835
- hugh 0.837375
- francis 0.836684
- susan 0.834719
- richard 0.833044
- elizabeth 0.822691
- bernard 0.822673
- uncle 0.817807
- matthew 0.817498
- edgar 0.811064
- robert 0.807595
- joan 0.806171
- philip 0.800825
- eric 0.798214
- bruce 0.798208
- billy 0.794710
- denis 0.793404
- andrew 0.792557
- charlie 0.791746
- joseph 0.791347
- grace 0.790402
- julian 0.786875
- oliver 0.785960
- anthony 0.782345
- nicholas 0.781633
- donald 0.778844
- george 0.777745
- timothy 0.775652
- david 0.775065
- marie 0.774295
- brother 0.772044
- duncan 0.771915
- patrick 0.770649
- captain 0.769517
- michael 0.768745
- frank 0.768494
- helen 0.767953
- harvey 0.767714
- peter 0.767135
- charles 0.765580
- fred 0.765357
- james 0.764420
- keith 0.763963
- ernest 0.763101
- arthur 0.762357
- victor 0.762018
- murray 0.760832
- ben 0.759907
- russell 0.759878
- miller 0.759692
- john 0.759058
- sam 0.757253
- howard 0.756482
- prince 0.755816
- nicholson 0.755683
- thomas 0.753461
- scott 0.753262
- paul 0.752781
- pamela 0.749749
- nick 0.749634
- lee 0.748980
- pat 0.748897
- barbara 0.747901
- simon 0.747482
- henry 0.746463
- daniel 0.745892
- maria 0.745813
- roger 0.743214
- stuart 0.741179
- mason 0.740967
- sister 0.740044
- evelyn 0.739979
- alfred 0.739596
- bob 0.739396
- uncle 0.738459
- geoffrey 0.738332
- martin 0.735555
- william 0.734814
- moore 0.734675
- adam 0.733993
- sean 0.732976
- parker 0.732643
- rose 0.732095
- catherine 0.731958
- samuel 0.731220
- father 0.730499
- jamie 0.730348
- miss 0.730321
- terry 0.729459
- tommy 0.729050
Cluster #7 8 instances
- other 0.981643
- particular 0.812017
- principal 0.737711
- various 0.718751
- specific 0.714894
- certain 0.694135
Cluster #13 13 instances
- melissa 0.929395
- nell 0.902481
- sophie 0.899029
- corbett 0.896552
- juliet 0.895861
- carrie 0.889974
- meredith 0.874619
- pascoe 0.873657
- pause 0.873492
- cleo 0.867381
- theodora 0.864669
- breeze 0.863409
- sara 0.862978
- luce 0.862871
- ruth 0.862314
- ranulf 0.861308
- maggie 0.860936
- jenna 0.860524
- michele 0.859262
- belinda 0.858868
- dalziel 0.855332
- theda 0.853875
- connon 0.853535
- cranston 0.850482
- blanche 0.850166
- hesitate 0.848172
- nod 0.847498
- flavia 0.844319
- arty 0.844176
- frown 0.841959
- mungo 0.839142
- rafaelo 0.838152
- ellie 0.838147
- celia 0.835202
- miguel 0.834832
- miranda 0.833426
- claudia 0.831832
- maman 0.830063
- loretta 0.827749
- silas 0.825646
- nathan 0.824474
- alice 0.824040
- constance 0.823872
- kolchinsky 0.823823
- emily 0.823607
- aggie 0.823418
- rachel 0.821968
- felicity 0.821811
- ven 0.818817
- lydia 0.817579
- finn 0.816772
- jake 0.813936
- franca 0.812597
- taheb 0.811384
onie 0.810634
- alida 0.810211
- wycliffe 0.810056
- kate 0.809927
- ratagan 0.809618
- athelstan 0.807447
- utterson 0.807142
- culley 0.807121
- donna 0.807036
- robyn 0.806751
- sabine 0.806623
- jinny 0.806580
- seb 0.806462
- woodruffe 0.806353
- shelley 0.805821
- burun 0.803758
- dalgliesh 0.803468
- lily 0.803356
- nordern 0.803129
- ellen 0.802786
- catesby 0.802094
- jehan 0.801524
- ellwood 0.799752
- ludens 0.798307
- louise 0.797481
- ana 0.795805
- matilda 0.795533
- gabriel 0.795429
- christina 0.795085
- fabia 0.792253
- doreen 0.792189
- zach 0.792131
- tess 0.790681
- cornelius 0.789997
- matey 0.789922
- merrill 0.789721
- frau 0.789584
- grin 0.788754
- endill 0.787535
- madame 0.786161
- smile 0.785433
- mutter 0.783902
- hari 0.783392
- vitor 0.782559
- mcdunn 0.780992
- gina 0.779754
Cluster #39 7 instances
- man 0.968043
- woman 0.951532
- young 0.897875
- childless 0.815918
- male 0.806873
- age 0.789426
- rape 0.786857
- married 0.779747
- cohabit 0.771872
- age 0.769678
- heterosexual 0.763878
- female 0.757344
- buxom 0.755554
- pregnant 0.751219
- widowhood 0.743374
- old 0.743180