-----------  cluster 0 is an index cluster --------
0.0 <0> 1
0.1 <one> 44
0.2 <> 0
-----------  cluster 1 is an index cluster --------
1.0 <0> 2
1.1 <accident> 3
1.2 <ah> 4
1.3 <ann> 5
1.4 <arrived> 6
1.5 <bag> 7
1.6 <begins> 8
1.7 <boldly> 9
1.8 <brushing> 10
1.9 <carefully> 11
1.10 <characters> 12
1.11 <cleared> 13
1.12 <conclusion> 14
1.13 <corrected> 15
1.14 <cry> 16
1.15 <days> 17
1.16 <die> 18
1.17 <dive> 19
1.18 <drew> 20
1.19 <edu> 21
1.20 <entirely> 22
1.21 <expected> 23
1.22 <fancied> 24
1.23 <fifty> 25
1.24 <floor> 26
1.25 <france> 27
1.26 <get> 28
1.27 <grinning> 29
1.28 <harm> 30
1.29 <hers> 31
1.30 <however> 32
1.31 <improve> 33
1.32 <invent> 34
1.33 <kick> 35
1.34 <larger> 36
1.35 <less> 37
1.36 <lobster> 38
1.37 <magic> 39
1.38 <melancholy> 40
1.39 <moment> 41
1.40 <natural> 42
1.41 <nor> 43
-----------  cluster 2 is a word count cluster --------
2.0 <0> 1
2.1 <000> 3
2.2 <04> 1
2.3 <0index> 1
2.4 <1> 3
2.5 <10> 2
2.6 <100> 1
2.7 <11> 1
2.8 <1971> 1
2.9 <1991> 1
2.10 <1994> 2
2.11 <2> 4
2.12 <20> 1
2.13 <2001> 2
2.14 <2026> 1
2.15 <212> 1
2.16 <23rd> 1
2.17 <254> 1
2.18 <2782> 1
2.19 <29> 1
2.20 <3> 3
2.21 <30> 1
2.22 <30th> 1
2.23 <31> 1
2.24 <4> 1
2.25 <5093> 1
2.26 <60> 1
2.27 <61825> 1
2.28 <72600> 1
2.29 <8> 1
2.30 <90> 1
2.31 <93> 1
2.32 <a> 658
2.33 <abide> 1
2.34 <able> 1
2.35 <about> 97
2.36 <above> 4
2.37 <absence> 1
2.38 <absurd> 2
2.39 <accept> 1
2.40 <acceptance> 1
2.41 <accepts> 1
-----------  cluster 3 is a word count cluster --------
3.0 <accident> 2
3.1 <accidentally> 1
3.2 <accomplish> 1
3.3 <account> 1
3.4 <accounting> 1
3.5 <accounts> 1
3.6 <accusation> 1
3.7 <accustomed> 1
3.8 <ache> 1
3.9 <across> 5
3.10 <act> 1
3.11 <actually> 1
3.12 <ada> 1
3.13 <added> 23
3.14 <adding> 1
3.15 <addition> 1
3.16 <additional> 2
3.17 <addressed> 2
3.18 <addressing> 1
3.19 <adjourn> 1
3.20 <adoption> 1
3.21 <advance> 4
3.22 <advantage> 3
3.23 <adventures> 8
3.24 <advice> 2
3.25 <advisable> 2
3.26 <advise> 1
3.27 <advisor> 1
3.28 <affair> 1
3.29 <affectionately> 1
3.30 <afford> 1
3.31 <afore> 1
3.32 <afraid> 12
3.33 <after> 44
3.34 <afterwards> 2
3.35 <again> 83
3.36 <against> 9
3.37 <age> 4
3.38 <agents> 1
3.39 <ago> 2
3.40 <agony> 1
3.41 <agree> 4
-----------  cluster 4 is a word count cluster --------
4.0 <ah> 5
4.1 <ahead> 1
4.2 <ahem> 1
4.3 <air> 15
4.4 <airs> 1
4.5 <alarm> 2
4.6 <alarmed> 1
4.7 <alas> 4
4.8 <alice> 401
4.9 <alice30> 4
4.10 <alice30a> 1
4.11 <alice31> 1
4.12 <alive> 3
4.13 <all> 189
4.14 <allow> 4
4.15 <allowable> 1
4.16 <almost> 6
4.17 <alone> 4
4.18 <along> 6
4.19 <aloud> 5
4.20 <already> 3
4.21 <also> 5
4.22 <alter> 1
4.23 <alteration> 1
4.24 <altered> 1
4.25 <alternately> 1
4.26 <alternatively> 2
4.27 <although> 1
4.28 <altogether> 5
4.29 <always> 13
4.30 <am> 16
4.31 <ambition> 1
4.32 <among> 16
4.33 <an> 61
4.34 <analyzed> 1
4.35 <ancient> 1
4.36 <and> 906
4.37 <anger> 2
4.38 <angrily> 9
4.39 <angry> 5
4.40 <animal> 2
4.41 <animals> 4
-----------  cluster 5 is a word count cluster --------
5.0 <ann> 4
5.1 <anniversary> 1
5.2 <announcement> 1
5.3 <annoy> 1
5.4 <annoyed> 1
5.5 <annual> 1
5.6 <anonymous> 1
5.7 <another> 22
5.8 <answer> 9
5.9 <answered> 4
5.10 <answers> 1
5.11 <antipathies> 1
5.12 <anxious> 3
5.13 <anxiously> 14
5.14 <any> 52
5.15 <anything> 20
5.16 <anywhere> 1
5.17 <appealed> 1
5.18 <appear> 2
5.19 <appearance> 1
5.20 <appeared> 8
5.21 <appearing> 1
5.22 <applause> 1
5.23 <apple> 1
5.24 <apples> 2
5.25 <applicable> 1
5.26 <apply> 2
5.27 <arch> 1
5.28 <archbishop> 2
5.29 <arches> 4
5.30 <archives> 1
5.31 <are> 59
5.32 <argue> 1
5.33 <argued> 1
5.34 <argument> 4
5.35 <arguments> 1
5.36 <arise> 1
5.37 <arithmetic> 1
5.38 <arm> 15
5.39 <arms> 6
5.40 <around> 3
5.41 <arranged> 1
-----------  cluster 6 is a word count cluster --------
6.0 <arrived> 1
6.1 <arrow> 1
6.2 <arrum> 1
6.3 <articles> 1
6.4 <as> 271
6.5 <ascii> 2
6.6 <ashamed> 2
6.7 <ask> 11
6.8 <askance> 1
6.9 <asked> 17
6.10 <asking> 5
6.11 <asleep> 8
6.12 <assembled> 2
6.13 <association> 3
6.14 <asterisk> 1
6.15 <at> 220
6.16 <ate> 1
6.17 <atheling> 1
6.18 <atom> 2
6.19 <attempt> 1
6.20 <attempted> 1
6.21 <attempts> 1
6.22 <attended> 1
6.23 <attending> 3
6.24 <attends> 1
6.25 <attmail> 1
6.26 <attorney> 1
6.27 <audibly> 1
6.28 <audience> 1
6.29 <australia> 1
6.30 <author> 2
6.31 <authority> 2
6.32 <avoid> 1
6.33 <away> 26
6.34 <awfully> 1
6.35 <axes> 1
6.36 <axis> 1
6.37 <b> 1
6.38 <baby> 14
6.39 <back> 39
6.40 <backs> 1
6.41 <bad> 2
-----------  cluster 7 is a word count cluster --------
7.0 <bag> 1
7.1 <baked> 1
7.2 <balanced> 1
7.3 <balls> 1
7.4 <bank> 3
7.5 <banks> 1
7.6 <banquet> 1
7.7 <bark> 2
7.8 <barking> 1
7.9 <barley> 1
7.10 <barrowful> 2
7.11 <based> 1
7.12 <bat> 3
7.13 <bathing> 1
7.14 <bats> 4
7.15 <bawled> 1
7.16 <be> 160
7.17 <beak> 1
7.18 <bear> 2
7.19 <beast> 1
7.20 <beasts> 2
7.21 <beat> 4
7.22 <beating> 2
7.23 <beau> 4
7.24 <beauti> 1
7.25 <beautiful> 13
7.26 <beautifully> 2
7.27 <beautify> 1
7.28 <became> 2
7.29 <because> 15
7.30 <become> 5
7.31 <becoming> 1
7.32 <bed> 1
7.33 <beds> 2
7.34 <bee> 1
7.35 <been> 38
7.36 <before> 39
7.37 <beg> 8
7.38 <began> 58
7.39 <begged> 1
7.40 <begin> 13
7.41 <beginning> 14
-----------  cluster 8 is a word count cluster --------
8.0 <begins> 4
8.1 <begun> 7
8.2 <behead> 1
8.3 <beheaded> 3
8.4 <beheading> 1
8.5 <behind> 13
8.6 <being> 20
8.7 <believe> 9
8.8 <believed> 1
8.9 <bells> 1
8.10 <belong> 1
8.11 <belongs> 2
8.12 <beloved> 1
8.13 <below> 6
8.14 <belt> 1
8.15 <bend> 2
8.16 <benedictine> 4
8.17 <bent> 1
8.18 <besides> 4
8.19 <best> 12
8.20 <better> 15
8.21 <between> 6
8.22 <bill> 17
8.23 <bin> 1
8.24 <binary> 1
8.25 <bird> 2
8.26 <birds> 10
8.27 <birthday> 1
8.28 <bit> 16
8.29 <bite> 2
8.30 <bitnet> 2
8.31 <bitter> 1
8.32 <blacking> 1
8.33 <blades> 1
8.34 <blame> 1
8.35 <blasts> 2
8.36 <bleeds> 1
8.37 <blew> 2
8.38 <blow> 2
8.39 <blown> 1
8.40 <blows> 1
8.41 <body> 2
-----------  cluster 9 is a word count cluster --------
9.0 <boldly> 1
9.1 <bone> 1
9.2 <bones> 1
9.3 <book> 12
9.4 <books> 5
9.5 <boon> 1
9.6 <boots> 4
9.7 <bore> 1
9.8 <both> 15
9.9 <bother> 1
9.10 <bottle> 10
9.11 <bottom> 4
9.12 <bough> 1
9.13 <bound> 1
9.14 <bowed> 4
9.15 <bowing> 1
9.16 <box> 11
9.17 <boxed> 1
9.18 <boy> 3
9.19 <brain> 1
9.20 <branch> 1
9.21 <branches> 2
9.22 <brandy> 1
9.23 <brass> 1
9.24 <brave> 1
9.25 <breach> 1
9.26 <bread> 7
9.27 <break> 2
9.28 <breath> 4
9.29 <breathe> 3
9.30 <breeze> 1
9.31 <bright> 8
9.32 <brightened> 2
9.33 <bring> 3
9.34 <bringing> 3
9.35 <bristling> 1
9.36 <broke> 2
9.37 <broken> 6
9.38 <brother> 1
9.39 <brought> 3
9.40 <brown> 2
9.41 <brush> 1
-----------  cluster 10 is a word count cluster --------
10.0 <brushing> 1
10.1 <bug> 1
10.2 <burn> 2
10.3 <burning> 1
10.4 <burnt> 1
10.5 <burst> 1
10.6 <bursting> 1
10.7 <busily> 4
10.8 <business> 7
10.9 <busy> 2
10.10 <but> 176
10.11 <butter> 9
10.12 <buttercup> 1
10.13 <buttered> 1
10.14 <butterfly> 1
10.15 <buttons> 1
10.16 <by> 80
10.17 <bye> 2
10.18 <byte> 1
10.19 <c> 1
10.20 <cackled> 1
10.21 <cake> 3
10.22 <cakes> 3
10.23 <calculate> 1
10.24 <calculated> 1
10.25 <call> 9
10.26 <called> 15
10.27 <calling> 1
10.28 <calmly> 1
10.29 <came> 40
10.30 <camomile> 1
10.31 <can> 68
10.32 <canary> 1
10.33 <candle> 3
10.34 <cannot> 3
10.35 <canterbury> 1
10.36 <canvas> 1
10.37 <capering> 1
10.38 <capital> 4
10.39 <cardboard> 1
10.40 <cards> 3
10.41 <care> 4
-----------  cluster 11 is a word count cluster --------
11.0 <carefully> 3
11.1 <cares> 2
11.2 <carried> 4
11.3 <carrier> 1
11.4 <carroll> 1
11.5 <carry> 1
11.6 <carrying> 2
11.7 <cart> 1
11.8 <cartwheels> 1
11.9 <case> 6
11.10 <cat> 37
11.11 <catch> 4
11.12 <catching> 2
11.13 <caterpillar> 28
11.14 <cats> 13
11.15 <cattle> 1
11.16 <caucus> 3
11.17 <caught> 3
11.18 <cauldron> 2
11.19 <cause> 4
11.20 <caused> 2
11.21 <cautiously> 3
11.22 <cd> 5
11.23 <ceiling> 1
11.24 <celebration> 1
11.25 <central> 1
11.26 <centre> 1
11.27 <certain> 3
11.28 <certainly> 14
11.29 <cessing> 1
11.30 <chain> 1
11.31 <chains> 1
11.32 <chair> 1
11.33 <champaign> 1
11.34 <chance> 4
11.35 <chanced> 1
11.36 <change> 14
11.37 <changed> 8
11.38 <changes> 2
11.39 <changing> 2
11.40 <chapter> 12
11.41 <character> 1
-----------  cluster 12 is a word count cluster --------
12.0 <characters> 3
12.1 <charges> 1
12.2 <charles> 1
12.3 <chatte> 1
12.4 <cheap> 1
12.5 <cheated> 1
12.6 <check> 1
12.7 <checked> 3
12.8 <cheeks> 1
12.9 <cheered> 3
12.10 <cheerfully> 1
12.11 <cherry> 1
12.12 <cheshire> 7
12.13 <chief> 1
12.14 <child> 11
12.15 <childhood> 1
12.16 <children> 10
12.17 <chimney> 6
12.18 <chimneys> 1
12.19 <chin> 7
12.20 <choice> 2
12.21 <choke> 1
12.22 <choked> 3
12.23 <choking> 1
12.24 <choose> 2
12.25 <choosing> 1
12.26 <chop> 1
12.27 <chorus> 6
12.28 <chose> 2
12.29 <christmas> 1
12.30 <chrysalis> 1
12.31 <chuckled> 1
12.32 <circle> 1
12.33 <circumstances> 1
12.34 <civil> 3
12.35 <clamour> 1
12.36 <clapping> 1
12.37 <clasped> 1
12.38 <classics> 1
12.39 <claws> 2
12.40 <clean> 1
12.41 <clear> 2
-----------  cluster 13 is a word count cluster --------
13.0 <cleared> 1
13.1 <clearer> 1
13.2 <clearly> 2
13.3 <clever> 2
13.4 <click> 1
13.5 <climb> 1
13.6 <clinging> 1
13.7 <clock> 5
13.8 <close> 13
13.9 <closed> 2
13.10 <closely> 1
13.11 <closer> 1
13.12 <clubs> 1
13.13 <coast> 1
13.14 <coaxing> 2
13.15 <codes> 1
13.16 <coils> 1
13.17 <cold> 1
13.18 <collar> 1
13.19 <collected> 2
13.20 <college> 4
13.21 <com> 1
13.22 <come> 46
13.23 <comes> 2
13.24 <comfits> 2
13.25 <comfort> 1
13.26 <comfortable> 1
13.27 <comfortably> 1
13.28 <coming> 9
13.29 <comment> 1
13.30 <common> 1
13.31 <commotion> 1
13.32 <company> 1
13.33 <complained> 1
13.34 <complaining> 1
13.35 <completely> 1
13.36 <compressed> 1
13.37 <compuserve> 2
13.38 <computer> 3
13.39 <computers> 1
13.40 <concert> 2
13.41 <concluded> 2
-----------  cluster 14 is a word count cluster --------
14.0 <conclusion> 2
14.1 <condemn> 1
14.2 <conduct> 1
14.3 <confused> 4
14.4 <confusing> 3
14.5 <confusion> 5
14.6 <conger> 1
14.7 <conqueror> 2
14.8 <conquest> 1
14.9 <consented> 1
14.10 <consequential> 2
14.11 <conservative> 1
14.12 <consider> 4
14.13 <considerable> 1
14.14 <considered> 3
14.15 <considering> 3
14.16 <constant> 2
14.17 <consultation> 1
14.18 <contacting> 1
14.19 <contain> 2
14.20 <contempt> 1
14.21 <contemptuous> 1
14.22 <contemptuously> 2
14.23 <content> 1
14.24 <contents> 1
14.25 <continued> 9
14.26 <contract> 1
14.27 <contradicted> 1
14.28 <contribution> 1
14.29 <contributions> 1
14.30 <conversation> 10
14.31 <conversations> 1
14.32 <conversion> 1
14.33 <converted> 1
14.34 <convey> 1
14.35 <cook> 13
14.36 <cool> 2
14.37 <copies> 3
14.38 <copy> 6
14.39 <copyright> 6
14.40 <corner> 4
14.41 <corners> 1
-----------  cluster 15 is a word count cluster --------
15.0 <corrected> 1
15.1 <corrupt> 1
15.2 <cost> 3
15.3 <costs> 1
15.4 <could> 77
15.5 <couldn> 9
15.6 <counting> 1
15.7 <country> 1
15.8 <couple> 1
15.9 <couples> 1
15.10 <courage> 3
15.11 <course> 26
15.12 <court> 18
15.13 <courtiers> 2
15.14 <coward> 1
15.15 <crab> 3
15.16 <crash> 3
15.17 <crashed> 1
15.18 <crawled> 1
15.19 <crawling> 1
15.20 <crazy> 1
15.21 <create> 1
15.22 <creature> 4
15.23 <creatures> 10
15.24 <creep> 1
15.25 <crept> 1
15.26 <cried> 20
15.27 <cries> 1
15.28 <crimson> 2
15.29 <crocodile> 1
15.30 <croquet> 9
15.31 <croqueted> 1
15.32 <croqueting> 1
15.33 <cross> 3
15.34 <crossed> 3
15.35 <crossly> 1
15.36 <crouched> 1
15.37 <crowd> 4
15.38 <crowded> 5
15.39 <crown> 3
15.40 <crumbs> 4
15.41 <crust> 1
-----------  cluster 16 is a word count cluster --------
16.0 <cry> 3
16.1 <crying> 2
16.2 <cso> 2
16.3 <cucumber> 2
16.4 <cunning> 1
16.5 <cup> 2
16.6 <cupboards> 2
16.7 <cur> 1
16.8 <curiosity> 5
16.9 <curious> 19
16.10 <curiouser> 2
16.11 <curled> 2
16.12 <curls> 1
16.13 <curly> 1
16.14 <currants> 1
16.15 <curtain> 1
16.16 <curtsey> 1
16.17 <curtseying> 1
16.18 <curving> 1
16.19 <cushion> 2
16.20 <custard> 1
16.21 <custody> 2
16.22 <cut> 5
16.23 <cutting> 1
16.24 <d> 29
16.25 <dainties> 1
16.26 <daisies> 1
16.27 <daisy> 1
16.28 <damage> 1
16.29 <damaged> 1
16.30 <damages> 5
16.31 <dance> 13
16.32 <dancing> 2
16.33 <dare> 5
16.34 <daresay> 1
16.35 <dark> 3
16.36 <darkness> 1
16.37 <data> 1
16.38 <date> 4
16.39 <dates> 2
16.40 <daughter> 1
16.41 <day> 31
-----------  cluster 17 is a word count cluster --------
17.0 <days> 7
17.1 <dead> 4
17.2 <deal> 12
17.3 <dear> 29
17.4 <dears> 3
17.5 <death> 1
17.6 <december> 1
17.7 <decided> 3
17.8 <decidedly> 4
17.9 <declare> 2
17.10 <declared> 1
17.11 <deductible> 1
17.12 <deep> 7
17.13 <deepest> 1
17.14 <deeply> 4
17.15 <defect> 2
17.16 <defective> 1
17.17 <defects> 2
17.18 <delay> 1
17.19 <delete> 1
17.20 <delight> 3
17.21 <delighted> 2
17.22 <delightful> 2
17.23 <denial> 1
17.24 <denied> 2
17.25 <denies> 1
17.26 <deny> 2
17.27 <denying> 1
17.28 <depends> 1
17.29 <derision> 1
17.30 <derive> 2
17.31 <described> 1
17.32 <deserved> 1
17.33 <desk> 1
17.34 <desks> 1
17.35 <despair> 1
17.36 <desperate> 1
17.37 <desperately> 1
17.38 <despite> 1
17.39 <diamonds> 1
17.40 <did> 63
17.41 <didn> 14
-----------  cluster 18 is a word count cluster --------
18.0 <die> 1
18.1 <died> 1
18.2 <different> 9
18.3 <difficult> 2
18.4 <difficulties> 1
18.5 <difficulty> 4
18.6 <dig> 1
18.7 <digging> 4
18.8 <diligently> 1
18.9 <dinah> 14
18.10 <dinn> 2
18.11 <dinner> 2
18.12 <dipped> 2
18.13 <dir> 1
18.14 <directed> 2
18.15 <direction> 5
18.16 <directions> 3
18.17 <directly> 4
18.18 <director> 1
18.19 <directors> 1
18.20 <disagree> 1
18.21 <disappeared> 2
18.22 <disappointment> 1
18.23 <disclaimer> 1
18.24 <disclaimers> 2
18.25 <disclaims> 2
18.26 <discover> 1
18.27 <disgust> 1
18.28 <dish> 4
18.29 <dishes> 2
18.30 <disk> 4
18.31 <dismay> 1
18.32 <disobey> 1
18.33 <displayed> 1
18.34 <displays> 1
18.35 <dispute> 2
18.36 <distance> 8
18.37 <distant> 2
18.38 <distraction> 1
18.39 <distribute> 5
18.40 <distributed> 1
18.41 <distribution> 2
-----------  cluster 19 is a word count cluster --------
19.0 <dive> 1
19.1 <do> 89
19.2 <dodged> 1
19.3 <dodo> 13
19.4 <does> 10
19.5 <doesn> 16
19.6 <dog> 3
19.7 <dogs> 3
19.8 <doing> 5
19.9 <dollar> 1
19.10 <dollars> 2
19.11 <domain> 5
19.12 <don> 63
19.13 <donations> 4
19.14 <done> 15
19.15 <door> 30
19.16 <doors> 2
19.17 <doorway> 1
19.18 <dormouse> 40
19.19 <doth> 3
19.20 <double> 1
19.21 <doubled> 1
19.22 <doubling> 1
19.23 <doubt> 4
19.24 <doubtful> 2
19.25 <doubtfully> 2
19.26 <down> 102
19.27 <downward> 1
19.28 <downwards> 1
19.29 <doze> 1
19.30 <dozing> 1
19.31 <draggled> 1
19.32 <draw> 7
19.33 <drawing> 1
19.34 <drawling> 3
19.35 <dreadful> 2
19.36 <dreadfully> 6
19.37 <dream> 7
19.38 <dreamed> 1
19.39 <dreaming> 1
19.40 <dreamy> 1
19.41 <dressed> 1
-----------  cluster 20 is a word count cluster --------
20.0 <drew> 5
20.1 <dried> 1
20.2 <driest> 1
20.3 <drink> 7
20.4 <drinking> 1
20.5 <dripping> 1
20.6 <drive> 2
20.7 <drop> 1
20.8 <dropped> 5
20.9 <dropping> 1
20.10 <drowned> 1
20.11 <drunk> 2
20.12 <dry> 8
20.13 <duchess> 41
20.14 <duck> 4
20.15 <due> 1
20.16 <dull> 3
20.17 <dunce> 1
20.18 <dutchess> 1
20.19 <e> 6
20.20 <each> 11
20.21 <eager> 3
20.22 <eagerly> 8
20.23 <eaglet> 3
20.24 <ear> 6
20.25 <earls> 2
20.26 <earnestly> 2
20.27 <ears> 5
20.28 <earth> 4
20.29 <easily> 3
20.30 <easy> 2
20.31 <eat> 18
20.32 <eaten> 1
20.33 <eating> 1
20.34 <eats> 1
20.35 <ebcdic> 2
20.36 <edgar> 1
20.37 <edge> 3
20.38 <edited> 1
20.39 <editing> 2
20.40 <edition> 4
20.41 <editions> 3
-----------  cluster 21 is a word count cluster --------
21.0 <edu> 2
21.1 <educations> 1
21.2 <edwin> 2
21.3 <eel> 2
21.4 <eels> 1
21.5 <effect> 3
21.6 <efforts> 2
21.7 <egg> 1
21.8 <eggs> 5
21.9 <eh> 1
21.10 <eight> 1
21.11 <either> 12
21.12 <elbow> 3
21.13 <elbows> 1
21.14 <electronic> 2
21.15 <electronically> 3
21.16 <elegant> 1
21.17 <eleventh> 1
21.18 <else> 12
21.19 <elsie> 1
21.20 <em> 3
21.21 <email> 2
21.22 <emphasis> 1
21.23 <empty> 1
21.24 <emulator> 1
21.25 <encourage> 2
21.26 <encouraged> 1
21.27 <encouraging> 2
21.28 <end> 22
21.29 <ending> 2
21.30 <energetic> 1
21.31 <engaged> 1
21.32 <engine> 1
21.33 <england> 1
21.34 <english> 6
21.35 <engraved> 1
21.36 <enjoy> 1
21.37 <ennyworth> 1
21.38 <enormous> 1
21.39 <enough> 18
21.40 <entangled> 2
21.41 <entered> 1
-----------  cluster 22 is a word count cluster --------
22.0 <entirely> 2
22.1 <entrance> 1
22.2 <equipment> 1
22.3 <equivalent> 3
22.4 <errors> 1
22.5 <escape> 4
22.6 <esq> 1
22.7 <est> 1
22.8 <estimate> 1
22.9 <estimated> 1
22.10 <etc> 1
22.11 <etext> 32
22.12 <etext91> 1
22.13 <etext92> 1
22.14 <etext93> 2
22.15 <etexts> 12
22.16 <even> 23
22.17 <evening> 5
22.18 <ever> 22
22.19 <every> 14
22.20 <everybody> 8
22.21 <everything> 14
22.22 <evidence> 7
22.23 <evidently> 1
22.24 <exact> 2
22.25 <exactly> 8
22.26 <examine> 2
22.27 <examining> 1
22.28 <excellent> 2
22.29 <except> 4
22.30 <exclaimed> 6
22.31 <exclamation> 1
22.32 <exclusion> 1
22.33 <exclusions> 1
22.34 <execute> 1
22.35 <executed> 6
22.36 <executes> 1
22.37 <execution> 3
22.38 <executioner> 6
22.39 <executions> 2
22.40 <executive> 1
22.41 <existence> 1
-----------  cluster 23 is a word count cluster --------
23.0 <expected> 2
23.1 <expecting> 3
23.2 <expends> 1
23.3 <expense> 3
23.4 <expenses> 1
23.5 <experiment> 2
23.6 <explain> 10
23.7 <explained> 1
23.8 <explanation> 2
23.9 <explanations> 1
23.10 <explanatory> 1
23.11 <express> 1
23.12 <expressing> 1
23.13 <expression> 1
23.14 <extent> 1
23.15 <extra> 1
23.16 <extraordinary> 2
23.17 <extras> 1
23.18 <extremely> 2
23.19 <eye> 7
23.20 <eyed> 1
23.21 <eyelids> 1
23.22 <eyes> 29
23.23 <face> 15
23.24 <faces> 5
23.25 <fact> 8
23.26 <fading> 1
23.27 <failed> 1
23.28 <fails> 1
23.29 <failure> 1
23.30 <faint> 1
23.31 <fainting> 1
23.32 <faintly> 1
23.33 <fair> 1
23.34 <fairly> 1
23.35 <fairy> 1
23.36 <fall> 7
23.37 <fallen> 4
23.38 <falling> 2
23.39 <familiarly> 1
23.40 <family> 1
23.41 <fan> 10
-----------  cluster 24 is a word count cluster --------
24.0 <fancied> 2
24.1 <fancy> 7
24.2 <fancying> 1
24.3 <fanned> 1
24.4 <fanning> 1
24.5 <far> 14
24.6 <farm> 1
24.7 <farmer> 1
24.8 <farther> 1
24.9 <fashion> 2
24.10 <fast> 4
24.11 <faster> 3
24.12 <fat> 1
24.13 <father> 6
24.14 <fault> 1
24.15 <favoured> 1
24.16 <favourite> 1
24.17 <fear> 4
24.18 <feared> 1
24.19 <feather> 1
24.20 <feathers> 1
24.21 <fee> 2
24.22 <feeble> 2
24.23 <feebly> 1
24.24 <feel> 8
24.25 <feeling> 7
24.26 <feelings> 2
24.27 <fees> 2
24.28 <feet> 19
24.29 <fell> 6
24.30 <fellow> 4
24.31 <fellows> 1
24.32 <felt> 23
24.33 <fender> 1
24.34 <ferrets> 2
24.35 <fetch> 7
24.36 <few> 9
24.37 <fidgeted> 1
24.38 <field> 1
24.39 <fifteen> 1
24.40 <fifteenth> 1
24.41 <fifth> 1
-----------  cluster 25 is a word count cluster --------
25.0 <fifty> 1
25.1 <fig> 1
25.2 <fight> 2
25.3 <fighting> 1
25.4 <figure> 3
25.5 <figures> 1
25.6 <file> 4
25.7 <files> 5
25.8 <filled> 3
25.9 <fills> 1
25.10 <final> 1
25.11 <find> 21
25.12 <finding> 3
25.13 <finds> 1
25.14 <fine> 2
25.15 <finger> 5
25.16 <finish> 5
25.17 <finished> 12
25.18 <finishing> 1
25.19 <fire> 4
25.20 <fireplace> 1
25.21 <first> 53
25.22 <fish> 8
25.23 <fishes> 1
25.24 <fit> 3
25.25 <fitness> 1
25.26 <fits> 1
25.27 <fitted> 1
25.28 <five> 8
25.29 <fix> 2
25.30 <fixed> 1
25.31 <flame> 1
25.32 <flamingo> 5
25.33 <flamingoes> 2
25.34 <flapper> 1
25.35 <flappers> 1
25.36 <flashed> 1
25.37 <flat> 2
25.38 <flavour> 1
25.39 <flew> 1
25.40 <flinging> 1
25.41 <flock> 1
-----------  cluster 26 is a word count cluster --------
26.0 <floor> 3
26.1 <flower> 2
26.2 <flowers> 2
26.3 <flown> 1
26.4 <flung> 1
26.5 <flurry> 1
26.6 <flustered> 1
26.7 <fluttered> 1
26.8 <fly> 3
26.9 <flying> 1
26.10 <folded> 3
26.11 <folding> 1
26.12 <follow> 2
26.13 <followed> 8
26.14 <following> 2
26.15 <follows> 3
26.16 <fond> 4
26.17 <foolish> 1
26.18 <foot> 10
26.19 <footman> 14
26.20 <footmen> 1
26.21 <footsteps> 2
26.22 <for> 178
26.23 <forehead> 2
26.24 <forepaws> 1
26.25 <forget> 2
26.26 <forgetting> 3
26.27 <forgot> 2
26.28 <forgotten> 6
26.29 <fork> 1
26.30 <form> 7
26.31 <forth> 1
26.32 <fortunately> 1
26.33 <forty> 1
26.34 <forwards> 1
26.35 <found> 32
26.36 <fountains> 2
26.37 <four> 8
26.38 <fourteenth> 1
26.39 <fourth> 1
26.40 <frame> 1
26.41 <frames> 1
-----------  cluster 27 is a word count cluster --------
27.0 <france> 1
27.1 <free> 6
27.2 <french> 4
27.3 <friend> 3
27.4 <friends> 2
27.5 <fright> 2
27.6 <frighten> 1
27.7 <frightened> 7
27.8 <frog> 3
27.9 <from> 44
27.10 <front> 2
27.11 <frontispiece> 1
27.12 <frowning> 4
27.13 <frying> 1
27.14 <ftp> 4
27.15 <ful> 1
27.16 <fulcrum> 1
27.17 <full> 6
27.18 <fumbled> 1
27.19 <fun> 3
27.20 <funny> 3
27.21 <fur> 3
27.22 <furious> 1
27.23 <furiously> 1
27.24 <furrow> 1
27.25 <furrows> 1
27.26 <further> 4
27.27 <fury> 3
27.28 <gained> 1
27.29 <gallons> 1
27.30 <game> 13
27.31 <games> 1
27.32 <garden> 16
27.33 <gardeners> 8
27.34 <gather> 1
27.35 <gave> 15
27.36 <gay> 1
27.37 <gazing> 1
27.38 <general> 4
27.39 <generally> 7
27.40 <gently> 3
27.41 <geography> 1
-----------  cluster 28 is a word count cluster --------
28.0 <get> 55
28.1 <getting> 22
28.2 <giddy> 2
28.3 <girl> 4
28.4 <girls> 3
28.5 <give> 17
28.6 <given> 1
28.7 <giving> 2
28.8 <glad> 11
28.9 <glanced> 1
28.10 <glaring> 1
28.11 <glass> 10
28.12 <globe> 1
28.13 <gloomily> 1
28.14 <gloves> 11
28.15 <go> 51
28.16 <goal> 2
28.17 <goes> 7
28.18 <going> 27
28.19 <golden> 7
28.20 <goldfish> 2
28.21 <gone> 13
28.22 <good> 27
28.23 <goose> 2
28.24 <got> 47
28.25 <graceful> 1
28.26 <grammar> 1
28.27 <grand> 3
28.28 <grant> 1
28.29 <grass> 4
28.30 <gratefully> 1
28.31 <grave> 3
28.32 <gravely> 3
28.33 <gravy> 1
28.34 <grazed> 1
28.35 <great> 39
28.36 <green> 4
28.37 <grew> 1
28.38 <grey> 1
28.39 <grief> 1
28.40 <grin> 6
28.41 <grinned> 3
-----------  cluster 29 is a word count cluster --------
29.0 <grinning> 1
29.1 <grins> 1
29.2 <ground> 8
29.3 <grow> 13
29.4 <growing> 11
29.5 <growl> 3
29.6 <growled> 1
29.7 <growling> 1
29.8 <growls> 1
29.9 <grown> 7
29.10 <grumbled> 1
29.11 <grunt> 1
29.12 <grunted> 4
29.13 <gryphon> 55
29.14 <guarantee> 1
29.15 <guard> 1
29.16 <guess> 3
29.17 <guessed> 3
29.18 <guests> 3
29.19 <guilt> 1
29.20 <guinea> 6
29.21 <gut> 4
29.22 <gutenberg> 22
29.23 <had> 178
29.24 <hadn> 8
29.25 <hair> 7
29.26 <half> 23
29.27 <hall> 9
29.28 <hand> 21
29.29 <handed> 3
29.30 <hands> 12
29.31 <handsome> 1
29.32 <handwriting> 1
29.33 <hanging> 3
29.34 <happen> 8
29.35 <happened> 7
29.36 <happening> 1
29.37 <happens> 5
29.38 <happy> 1
29.39 <hard> 8
29.40 <hardly> 12
29.41 <hare> 31
-----------  cluster 30 is a word count cluster --------
30.0 <harm> 1
30.1 <harmless> 1
30.2 <hart> 4
30.3 <has> 9
30.4 <hasn> 2
30.5 <haste> 1
30.6 <hastily> 16
30.7 <hat> 1
30.8 <hatching> 1
30.9 <hate> 2
30.10 <hated> 1
30.11 <hatter> 56
30.12 <hatters> 1
30.13 <have> 87
30.14 <haven> 8
30.15 <having> 10
30.16 <he> 125
30.17 <head> 50
30.18 <header> 1
30.19 <heads> 10
30.20 <heap> 1
30.21 <hear> 14
30.22 <heard> 30
30.23 <hearing> 4
30.24 <heart> 2
30.25 <hearth> 1
30.26 <hearthrug> 1
30.27 <hearts> 8
30.28 <heavy> 2
30.29 <hedge> 2
30.30 <hedgehog> 7
30.31 <hedgehogs> 3
30.32 <hedges> 1
30.33 <heels> 1
30.34 <height> 5
30.35 <held> 4
30.36 <help> 9
30.37 <helped> 1
30.38 <helpless> 1
30.39 <her> 248
30.40 <herald> 1
30.41 <here> 52
-----------  cluster 31 is a word count cluster --------
31.0 <hers> 4
31.1 <herself> 83
31.2 <hid> 1
31.3 <hide> 1
31.4 <high> 16
31.5 <highest> 1
31.6 <him> 43
31.7 <himself> 6
31.8 <hint> 2
31.9 <hippopotamus> 1
31.10 <his> 96
31.11 <hiss> 1
31.12 <histories> 1
31.13 <history> 7
31.14 <hit> 2
31.15 <hjckrrh> 1
31.16 <hm> 1
31.17 <hoarse> 3
31.18 <hoarsely> 1
31.19 <hold> 11
31.20 <holding> 3
31.21 <hole> 5
31.22 <holiday> 1
31.23 <hollow> 1
31.24 <home> 5
31.25 <honest> 1
31.26 <honor> 1
31.27 <honour> 4
31.28 <hookah> 5
31.29 <hope> 3
31.30 <hoped> 1
31.31 <hopeful> 1
31.32 <hopeless> 1
31.33 <hoping> 3
31.34 <horse> 1
31.35 <hot> 7
31.36 <hour> 4
31.37 <hours> 5
31.38 <house> 18
31.39 <housemaid> 1
31.40 <houses> 1
31.41 <how> 70
-----------  cluster 32 is a word count cluster --------
32.0 <however> 21
32.1 <howled> 1
32.2 <howling> 3
32.3 <humans> 1
32.4 <humble> 1
32.5 <humbly> 2
32.6 <hundred> 3
32.7 <hundreds> 1
32.8 <hung> 1
32.9 <hungry> 3
32.10 <hunting> 3
32.11 <hurried> 11
32.12 <hurriedly> 2
32.13 <hurry> 11
32.14 <hurrying> 1
32.15 <hurt> 3
32.16 <hush> 3
32.17 <hypertext> 2
32.18 <i> 545
32.19 <ibc> 3
32.20 <idea> 15
32.21 <identify> 1
32.22 <idiot> 1
32.23 <idiotic> 1
32.24 <if> 116
32.25 <ignorant> 1
32.26 <ii> 1
32.27 <iii> 1
32.28 <il> 1
32.29 <ill> 2
32.30 <illinois> 4
32.31 <imagine> 2
32.32 <imitated> 1
32.33 <immediate> 1
32.34 <immediately> 3
32.35 <immense> 1
32.36 <impatient> 1
32.37 <impatiently> 5
32.38 <impertinent> 1
32.39 <implied> 2
32.40 <important> 8
32.41 <impossible> 3
-----------  cluster 33 is a word count cluster --------
33.0 <improve> 1
33.1 <in> 385
33.2 <inaccurate> 1
33.3 <incessantly> 1
33.4 <inches> 6
33.5 <incidental> 1
33.6 <inclined> 1
33.7 <included> 1
33.8 <including> 5
33.9 <incomplete> 1
33.10 <indeed> 16
33.11 <indemnify> 1
33.12 <indemnity> 1
33.13 <indicate> 2
33.14 <indignant> 1
33.15 <indignantly> 4
33.16 <indirect> 1
33.17 <indirectly> 1
33.18 <information> 8
33.19 <infringement> 1
33.20 <injure> 1
33.21 <ink> 1
33.22 <inkstand> 1
33.23 <inquired> 1
33.24 <inquisitively> 1
33.25 <inside> 2
33.26 <insolence> 1
33.27 <instance> 4
33.28 <instantly> 5
33.29 <instead> 3
33.30 <insult> 1
33.31 <intellectual> 1
33.32 <intended> 2
33.33 <interest> 1
33.34 <interesting> 5
33.35 <internet> 3
33.36 <interrupt> 1
33.37 <interrupted> 9
33.38 <interrupting> 2
33.39 <into> 68
33.40 <introduce> 2
33.41 <introduced> 1
-----------  cluster 34 is a word count cluster --------
34.0 <invent> 1
34.1 <invented> 1
34.2 <invitation> 2
34.3 <invited> 2
34.4 <involved> 1
34.5 <inwards> 1
34.6 <irons> 1
34.7 <irritated> 1
34.8 <is> 128
34.9 <isn> 7
34.10 <it> 612
34.11 <its> 60
34.12 <itself> 14
34.13 <iv> 1
34.14 <ix> 1
34.15 <jack> 1
34.16 <january> 1
34.17 <jar> 2
34.18 <jaw> 1
34.19 <jaws> 2
34.20 <jelly> 1
34.21 <jogged> 1
34.22 <join> 9
34.23 <joined> 3
34.24 <journey> 1
34.25 <joys> 1
34.26 <judge> 4
34.27 <judging> 1
34.28 <jug> 1
34.29 <jumped> 6
34.30 <jumping> 4
34.31 <juror> 1
34.32 <jurors> 4
34.33 <jury> 22
34.34 <jurymen> 4
34.35 <just> 52
34.36 <justice> 1
34.37 <keep> 12
34.38 <keeping> 3
34.39 <kept> 13
34.40 <kettle> 1
34.41 <key> 9
-----------  cluster 35 is a word count cluster --------
35.0 <kick> 3
35.1 <kid> 5
35.2 <kill> 1
35.3 <killing> 1
35.4 <kills> 1
35.5 <kind> 8
35.6 <kindly> 2
35.7 <king> 63
35.8 <kings> 1
35.9 <kiss> 1
35.10 <kissed> 1
35.11 <kitchen> 4
35.12 <knave> 9
35.13 <knee> 5
35.14 <kneel> 1
35.15 <knelt> 1
35.16 <knew> 14
35.17 <knife> 3
35.18 <knock> 1
35.19 <knocked> 1
35.20 <knocking> 3
35.21 <knot> 2
35.22 <know> 89
35.23 <knowing> 2
35.24 <knowledge> 3
35.25 <known> 1
35.26 <knows> 2
35.27 <knuckles> 1
35.28 <kramer> 1
35.29 <label> 2
35.30 <labeled> 1
35.31 <labelled> 1
35.32 <lacie> 1
35.33 <lad> 1
35.34 <ladder> 1
35.35 <lady> 3
35.36 <laid> 2
35.37 <lamps> 1
35.38 <land> 1
35.39 <languid> 1
35.40 <lap> 2
35.41 <large> 33
-----------  cluster 36 is a word count cluster --------
36.0 <larger> 7
36.1 <largest> 1
36.2 <lark> 1
36.3 <last> 35
36.4 <lasted> 2
36.5 <lastly> 1
36.6 <late> 6
36.7 <lately> 1
36.8 <later> 3
36.9 <latin> 1
36.10 <latitude> 2
36.11 <laugh> 1
36.12 <laughed> 2
36.13 <laughing> 2
36.14 <laughter> 1
36.15 <law> 3
36.16 <lawyers> 1
36.17 <lay> 4
36.18 <lazily> 1
36.19 <lazy> 1
36.20 <leaders> 1
36.21 <leading> 1
36.22 <leaning> 2
36.23 <leant> 1
36.24 <leap> 1
36.25 <learn> 7
36.26 <learned> 1
36.27 <learning> 2
36.28 <learnt> 2
36.29 <least> 10
36.30 <leave> 9
36.31 <leaves> 6
36.32 <leaving> 1
36.33 <led> 4
36.34 <ledge> 1
36.35 <left> 14
36.36 <lefthand> 2
36.37 <legal> 4
36.38 <legally> 1
36.39 <legged> 2
36.40 <legs> 3
36.41 <length> 1
-----------  cluster 37 is a word count cluster --------
37.0 <less> 5
37.1 <lessen> 1
37.2 <lesson> 3
37.3 <lessons> 10
37.4 <lest> 1
37.5 <let> 22
37.6 <letter> 4
37.7 <letters> 2
37.8 <lewis> 1
37.9 <liability> 4
37.10 <license> 1
37.11 <licenses> 1
37.12 <licking> 1
37.13 <lie> 2
37.14 <life> 12
37.15 <lifted> 1
37.16 <like> 86
37.17 <liked> 6
37.18 <likely> 5
37.19 <likes> 1
37.20 <limbs> 1
37.21 <limitation> 1
37.22 <limited> 3
37.23 <line> 2
37.24 <lines> 1
37.25 <linked> 1
37.26 <links> 1
37.27 <lips> 1
37.28 <list> 5
37.29 <listen> 7
37.30 <listened> 1
37.31 <listeners> 1
37.32 <listening> 3
37.33 <lit> 1
37.34 <little> 128
37.35 <live> 8
37.36 <lived> 3
37.37 <livery> 3
37.38 <lives> 4
37.39 <living> 2
37.40 <lizard> 6
37.41 <ll> 57
-----------  cluster 38 is a word count cluster --------
38.0 <lobster> 8
38.1 <lobsters> 6
38.2 <lock> 1
38.3 <locked> 1
38.4 <locks> 2
38.5 <lodging> 1
38.6 <login> 2
38.7 <london> 1
38.8 <lonely> 2
38.9 <long> 34
38.10 <longed> 2
38.11 <longer> 3
38.12 <longitude> 2
38.13 <look> 31
38.14 <looked> 45
38.15 <looking> 32
38.16 <loose> 1
38.17 <lory> 7
38.18 <lose> 1
38.19 <losing> 1
38.20 <lost> 3
38.21 <loud> 6
38.22 <louder> 1
38.23 <loudly> 3
38.24 <love> 3
38.25 <loveliest> 1
38.26 <lovely> 2
38.27 <loving> 1
38.28 <low> 15
38.29 <lower> 1
38.30 <lowing> 1
38.31 <luckily> 2
38.32 <lullaby> 1
38.33 <lying> 8
38.34 <m> 63
38.35 <ma> 3
38.36 <mabel> 4
38.37 <mac> 1
38.38 <machine> 1
38.39 <machines> 2
38.40 <mad> 15
38.41 <made> 32
-----------  cluster 39 is a word count cluster --------
39.0 <magic> 1
39.1 <magpie> 1
39.2 <mail> 1
39.3 <majesty> 12
39.4 <make> 27
39.5 <makes> 11
39.6 <making> 8
39.7 <mallets> 1
39.8 <man> 5
39.9 <manage> 7
39.10 <managed> 4
39.11 <managing> 1
39.12 <manner> 2
39.13 <manners> 1
39.14 <many> 12
39.15 <maps> 1
39.16 <march> 36
39.17 <marched> 1
39.18 <mark> 4
39.19 <marked> 6
39.20 <marmalade> 1
39.21 <mary> 4
39.22 <master> 4
39.23 <matter> 9
39.24 <matters> 3
39.25 <may> 28
39.26 <maybe> 2
39.27 <mayn> 1
39.28 <mcimail> 1
39.29 <me> 68
39.30 <meal> 1
39.31 <mean> 10
39.32 <meaning> 8
39.33 <means> 6
39.34 <meant> 5
39.35 <meanwhile> 1
39.36 <measure> 1
39.37 <meat> 1
39.38 <medium> 6
39.39 <meekly> 2
39.40 <meet> 2
39.41 <meeting> 1
-----------  cluster 40 is a word count cluster --------
40.0 <melancholy> 6
40.1 <members> 1
40.2 <memorandum> 1
40.3 <memory> 1
40.4 <men> 1
40.5 <mentioned> 3
40.6 <merchantability> 1
40.7 <mercia> 2
40.8 <merely> 2
40.9 <merrily> 1
40.10 <messages> 2
40.11 <met> 3
40.12 <method> 1
40.13 <mget> 2
40.14 <mice> 4
40.15 <michael> 2
40.16 <middle> 7
40.17 <midnight> 2
40.18 <might> 29
40.19 <mile> 2
40.20 <miles> 3
40.21 <milk> 2
40.22 <millennium> 1
40.23 <million> 5
40.24 <mind> 11
40.25 <minded> 1
40.26 <minding> 1
40.27 <mine> 10
40.28 <mineral> 1
40.29 <minute> 21
40.30 <minutes> 11
40.31 <mischief> 1
40.32 <miserable> 2
40.33 <miss> 4
40.34 <missed> 2
40.35 <mistake> 3
40.36 <mixed> 2
40.37 <mock> 56
40.38 <moderate> 1
40.39 <modern> 1
40.40 <modification> 1
40.41 <modify> 1
-----------  cluster 41 is a word count cluster --------
41.0 <moment> 31
41.1 <money> 5
41.2 <month> 8
41.3 <moon> 1
41.4 <moral> 8
41.5 <morals> 1
41.6 <morcar> 2
41.7 <more> 52
41.8 <morning> 5
41.9 <morsel> 1
41.10 <most> 11
41.11 <mostly> 2
41.12 <mournful> 1
41.13 <mournfully> 1
41.14 <mouse> 44
41.15 <mouth> 10
41.16 <mouths> 4
41.17 <move> 3
41.18 <moved> 5
41.19 <moving> 3
41.20 <mrcnext> 1
41.21 <much> 51
41.22 <muchness> 3
41.23 <muddle> 1
41.24 <multiplication> 1
41.25 <murder> 1
41.26 <murdering> 1
41.27 <muscular> 1
41.28 <mushroom> 8
41.29 <music> 3
41.30 <must> 46
41.31 <mustard> 3
41.32 <muttered> 2
41.33 <muttering> 3
41.34 <my> 58
41.35 <myself> 7
41.36 <mystery> 2
41.37 <name> 10
41.38 <named> 1
41.39 <names> 2
41.40 <narrow> 2
41.41 <nasty> 1
-----------  cluster 42 is a word count cluster --------
42.0 <natural> 4
42.1 <natured> 1
42.2 <naturedly> 1
42.3 <nay> 1
42.4 <near> 15
42.5 <nearer> 5
42.6 <nearly> 11
42.7 <neat> 1
42.8 <neatly> 2
42.9 <neck> 7
42.10 <need> 2
42.11 <needn> 3
42.12 <needs> 1
42.13 <negligence> 1
42.14 <neighbour> 1
42.15 <neighbouring> 1
42.16 <neither> 3
42.17 <nervous> 5
42.18 <nest> 1
42.19 <net> 1
42.20 <never> 48
42.21 <nevertheless> 1
42.22 <new> 10
42.23 <newsletter> 1
42.24 <newsletters> 1
42.25 <newspapers> 1
42.26 <next> 32
42.27 <nibbled> 2
42.28 <nibbling> 3
42.29 <nice> 6
42.30 <nicely> 2
42.31 <night> 5
42.32 <nile> 1
42.33 <nine> 5
42.34 <no> 96
42.35 <nobody> 8
42.36 <nodded> 1
42.37 <noise> 3
42.38 <noises> 1
42.39 <nominally> 1
42.40 <none> 4
42.41 <nonsense> 7
-----------  cluster 43 is a word count cluster --------
43.0 <nor> 4
43.1 <normans> 1
43.2 <northumbria> 2
43.3 <nose> 8
43.4 <not> 155
43.5 <note> 5
43.6 <nothing> 34
43.7 <notice> 6
43.8 <noticed> 8
43.9 <noticing> 1
43.10 <notion> 3
43.11 <now> 62
43.12 <nowhere> 2
43.13 <number> 7
43.14 <nurse> 3
43.15 <nursing> 3
43.16 <o> 7
43.17 <obliged> 3
43.18 <oblong> 1
43.19 <obstacle> 1
43.20 <occasional> 1
43.21 <occasionally> 1
43.22 <occurred> 2
43.23 <ocr> 1
43.24 <odd> 1
43.25 <of> 564
43.26 <off> 73
43.27 <offend> 1
43.28 <offended> 10
43.29 <offer> 2
43.30 <officer> 1
43.31 <officers> 5
43.32 <official> 2
43.33 <officially> 1
43.34 <often> 6
43.35 <oh> 45
43.36 <ointment> 1
43.37 <old> 19
43.38 <older> 2
43.39 <oldest> 1
43.40 <on> 203
43.41 <once> 34
-----------  cluster 44 is an index cluster --------
44.0 <one> 45
44.1 <pages> 46
44.2 <pay> 47
44.3 <pitied> 48
44.4 <posted> 49
44.5 <program> 50
44.6 <quadrille> 51
44.7 <readers> 52
44.8 <remove> 53
44.9 <rock> 54
44.10 <saucepan> 55
44.11 <send> 56
44.12 <shepherd> 57
44.13 <signifies> 58
44.14 <smoke> 59
44.15 <sorry> 60
44.16 <start> 61
44.17 <stupidest> 62
44.18 <taking> 63
44.19 <the> 64
44.20 <tie> 65
44.21 <trampled> 66
44.22 <turning> 67
44.23 <unfortunate> 68
44.24 <ver> 69
44.25 <warranties> 70
44.26 <whispers> 71
44.27 <wooden> 72
44.28 <you> 73
44.29 <> 31
-----------  cluster 45 is a word count cluster --------
45.0 <one> 113
45.1 <ones> 1
45.2 <oneself> 1
45.3 <onions> 1
45.4 <only> 52
45.5 <oop> 7
45.6 <ootiful> 4
45.7 <open> 8
45.8 <opened> 10
45.9 <opening> 3
45.10 <opinion> 1
45.11 <opportunity> 9
45.12 <opposite> 1
45.13 <or> 125
45.14 <orange> 1
45.15 <order> 3
45.16 <ordered> 4
45.17 <ordering> 2
45.18 <original> 1
45.19 <originally> 1
45.20 <ornamented> 2
45.21 <other> 57
45.22 <others> 7
45.23 <otherwise> 5
45.24 <ou> 1
45.25 <ought> 14
45.26 <our> 17
45.27 <ours> 1
45.28 <ourselves> 1
45.29 <out> 117
45.30 <outside> 4
45.31 <over> 40
45.32 <overcome> 1
45.33 <overhead> 1
45.34 <owl> 3
45.35 <own> 11
45.36 <owns> 1
45.37 <oyster> 1
45.38 <p> 2
45.39 <pace> 1
45.40 <pack> 5
45.41 <page> 1
-----------  cluster 46 is a word count cluster --------
46.0 <pages> 1
46.1 <paid> 3
46.2 <paint> 1
46.3 <painting> 2
46.4 <pair> 5
46.5 <pairs> 1
46.6 <pale> 4
46.7 <pan> 1
46.8 <panted> 1
46.9 <panther> 3
46.10 <panting> 2
46.11 <paper> 5
46.12 <parchment> 2
46.13 <pardon> 6
46.14 <pardoned> 1
46.15 <paris> 2
46.16 <part> 3
46.17 <particular> 5
46.18 <partner> 1
46.19 <partners> 1
46.20 <parts> 1
46.21 <party> 11
46.22 <pass> 1
46.23 <passage> 4
46.24 <passed> 5
46.25 <passing> 1
46.26 <passion> 3
46.27 <passionate> 1
46.28 <password> 1
46.29 <past> 3
46.30 <pat> 3
46.31 <path> 1
46.32 <patience> 1
46.33 <patiently> 2
46.34 <patriotic> 1
46.35 <patted> 1
46.36 <pattering> 3
46.37 <pattern> 1
46.38 <pause> 2
46.39 <paused> 1
46.40 <paw> 3
46.41 <paws> 4
-----------  cluster 47 is a word count cluster --------
47.0 <pay> 1
47.1 <payable> 1
47.2 <paying> 1
47.3 <pebbles> 2
47.4 <peeped> 3
47.5 <peeping> 1
47.6 <peering> 1
47.7 <pegs> 1
47.8 <pence> 1
47.9 <pencil> 2
47.10 <pencils> 1
47.11 <pennyworth> 1
47.12 <people> 13
47.13 <pepper> 8
47.14 <per> 3
47.15 <perfectly> 4
47.16 <perhaps> 17
47.17 <periodic> 1
47.18 <permission> 1
47.19 <permitted> 1
47.20 <persisted> 2
47.21 <person> 8
47.22 <personal> 2
47.23 <persons> 1
47.24 <pet> 1
47.25 <physical> 2
47.26 <picked> 3
47.27 <picking> 2
47.28 <picture> 1
47.29 <pictured> 1
47.30 <pictures> 4
47.31 <pie> 3
47.32 <piece> 6
47.33 <pieces> 3
47.34 <pig> 11
47.35 <pigeon> 12
47.36 <pigs> 6
47.37 <pinch> 2
47.38 <pinched> 2
47.39 <pine> 1
47.40 <pink> 1
47.41 <piteous> 1
-----------  cluster 48 is a word count cluster --------
48.0 <pitied> 1
48.1 <pity> 3
48.2 <place> 8
48.3 <placed> 1
48.4 <places> 2
48.5 <plain> 3
48.6 <plainly> 1
48.7 <plan> 4
48.8 <planning> 1
48.9 <plate> 3
48.10 <plates> 2
48.11 <play> 8
48.12 <played> 1
48.13 <players> 4
48.14 <playing> 2
48.15 <pleaded> 3
48.16 <pleasant> 1
48.17 <pleasanter> 1
48.18 <please> 24
48.19 <pleased> 7
48.20 <pleases> 1
48.21 <pleasing> 1
48.22 <pleasure> 2
48.23 <plenty> 2
48.24 <pocket> 7
48.25 <point> 1
48.26 <pointed> 1
48.27 <pointing> 4
48.28 <poison> 3
48.29 <poker> 1
48.30 <poky> 1
48.31 <politely> 6
48.32 <pool> 11
48.33 <poor> 27
48.34 <pop> 1
48.35 <pope> 1
48.36 <porpoise> 4
48.37 <position> 2
48.38 <positively> 1
48.39 <possibility> 1
48.40 <possible> 1
48.41 <possibly> 3
-----------  cluster 49 is a word count cluster --------
49.0 <posted> 1
49.1 <pot> 1
49.2 <pounds> 1
49.3 <pour> 1
49.4 <poured> 1
49.5 <powdered> 1
49.6 <practice> 1
49.7 <pray> 3
49.8 <precious> 1
49.9 <prefer> 1
49.10 <preliminary> 1
49.11 <prepare> 2
49.12 <prepared> 2
49.13 <present> 3
49.14 <presented> 1
49.15 <presently> 2
49.16 <presents> 2
49.17 <pressed> 3
49.18 <pressing> 1
49.19 <pretend> 1
49.20 <pretending> 1
49.21 <pretexts> 1
49.22 <prettier> 1
49.23 <pretty> 1
49.24 <prevent> 1
49.25 <print> 9
49.26 <printed> 1
49.27 <prison> 1
49.28 <prisoner> 2
49.29 <prize> 1
49.30 <prizes> 5
49.31 <pro> 1
49.32 <proceed> 2
49.33 <procession> 5
49.34 <processions> 1
49.35 <processors> 1
49.36 <produce> 2
49.37 <produced> 1
49.38 <producing> 1
49.39 <productivity> 1
49.40 <professor> 1
49.41 <profits> 2
-----------  cluster 50 is a word count cluster --------
50.0 <program> 3
50.1 <project> 31
50.2 <projected> 1
50.3 <promise> 1
50.4 <promised> 1
50.5 <promising> 1
50.6 <pronounced> 1
50.7 <proofread> 2
50.8 <proper> 3
50.9 <property> 1
50.10 <proposal> 1
50.11 <proprietary> 2
50.12 <prosecute> 1
50.13 <protection> 1
50.14 <proud> 2
50.15 <prove> 1
50.16 <proved> 2
50.17 <proves> 2
50.18 <provide> 2
50.19 <provided> 1
50.20 <provisions> 1
50.21 <provoking> 1
50.22 <public> 5
50.23 <puffed> 1
50.24 <pulled> 1
50.25 <pulling> 1
50.26 <pun> 1
50.27 <punching> 1
50.28 <punctuation> 1
50.29 <punished> 1
50.30 <punitive> 1
50.31 <puppy> 7
50.32 <purple> 1
50.33 <purpose> 2
50.34 <purring> 2
50.35 <push> 1
50.36 <puss> 1
50.37 <put> 31
50.38 <putting> 3
50.39 <puzzle> 1
50.40 <puzzled> 9
50.41 <puzzling> 4
-----------  cluster 51 is a word count cluster --------
51.0 <quadrille> 4
51.1 <quarrel> 1
51.2 <quarrelled> 1
51.3 <quarrelling> 2
51.4 <queen> 75
51.5 <queens> 1
51.6 <queer> 12
51.7 <queerest> 1
51.8 <question> 17
51.9 <questions> 4
51.10 <quick> 2
51.11 <quicker> 1
51.12 <quickly> 2
51.13 <quiet> 2
51.14 <quietly> 5
51.15 <quite> 55
51.16 <quiver> 1
51.17 <rabbit> 51
51.18 <rabbits> 1
51.19 <race> 6
51.20 <railway> 2
51.21 <raised> 2
51.22 <raising> 1
51.23 <ran> 16
51.24 <rapidly> 2
51.25 <rapped> 1
51.26 <rat> 1
51.27 <rate> 9
51.28 <rather> 25
51.29 <rats> 1
51.30 <rattle> 1
51.31 <rattling> 2
51.32 <raven> 1
51.33 <ravens> 1
51.34 <raving> 2
51.35 <raw> 1
51.36 <re> 38
51.37 <reach> 4
51.38 <reaching> 1
51.39 <read> 13
51.40 <readable> 3
51.41 <reader> 1
-----------  cluster 52 is a word count cluster --------
52.0 <readers> 3
52.1 <readily> 2
52.2 <reading> 4
52.3 <ready> 8
52.4 <real> 3
52.5 <reality> 1
52.6 <really> 13
52.7 <rearing> 1
52.8 <reason> 9
52.9 <reasonable> 1
52.10 <reasons> 1
52.11 <receive> 4
52.12 <received> 5
52.13 <receiving> 2
52.14 <recognised> 1
52.15 <recovered> 2
52.16 <red> 3
52.17 <reduced> 1
52.18 <reeds> 1
52.19 <reeling> 1
52.20 <references> 1
52.21 <refreshments> 1
52.22 <refund> 4
52.23 <refused> 1
52.24 <regular> 2
52.25 <release> 4
52.26 <released> 2
52.27 <relief> 2
52.28 <relieved> 1
52.29 <remain> 1
52.30 <remained> 3
52.31 <remaining> 1
52.32 <remark> 10
52.33 <remarkable> 2
52.34 <remarked> 10
52.35 <remarking> 3
52.36 <remarks> 3
52.37 <remedies> 2
52.38 <remember> 14
52.39 <remembered> 5
52.40 <remembering> 1
52.41 <reminding> 1
-----------  cluster 53 is a word count cluster --------
53.0 <remove> 2
53.1 <removed> 2
53.2 <repeat> 7
53.3 <repeated> 10
53.4 <repeating> 3
53.5 <replacement> 3
53.6 <replied> 29
53.7 <reply> 5
53.8 <request> 3
53.9 <required> 1
53.10 <requires> 1
53.11 <resource> 1
53.12 <respect> 1
53.13 <respectable> 1
53.14 <respectful> 1
53.15 <rest> 10
53.16 <resting> 2
53.17 <result> 1
53.18 <resulting> 1
53.19 <retire> 1
53.20 <return> 3
53.21 <returned> 2
53.22 <returning> 1
53.23 <rich> 1
53.24 <riddle> 1
53.25 <riddles> 2
53.26 <ridge> 1
53.27 <ridges> 1
53.28 <ridiculous> 1
53.29 <right> 33
53.30 <righthand> 1
53.31 <rightly> 1
53.32 <rights> 1
53.33 <ring> 2
53.34 <ringlets> 2
53.35 <riper> 1
53.36 <rippling> 1
53.37 <rise> 1
53.38 <rises> 1
53.39 <rising> 1
53.40 <roared> 1
53.41 <roast> 1
-----------  cluster 54 is a word count cluster --------
54.0 <rock> 1
54.1 <rocket> 1
54.2 <rome> 2
54.3 <roof> 6
54.4 <room> 13
54.5 <roots> 2
54.6 <rope> 1
54.7 <rose> 4
54.8 <roses> 3
54.9 <rosetree> 1
54.10 <roughly> 1
54.11 <round> 41
54.12 <row> 2
54.13 <royal> 2
54.14 <royalties> 2
54.15 <royalty> 2
54.16 <rubbed> 1
54.17 <rubbing> 2
54.18 <rude> 2
54.19 <rudeness> 1
54.20 <rule> 5
54.21 <rules> 4
54.22 <rumbling> 1
54.23 <run> 4
54.24 <running> 8
54.25 <rush> 2
54.26 <rushed> 1
54.27 <rustled> 1
54.28 <rustling> 1
54.29 <s> 208
54.30 <sad> 3
54.31 <sadly> 5
54.32 <safe> 2
54.33 <sage> 1
54.34 <said> 462
54.35 <salmon> 1
54.36 <salt> 2
54.37 <same> 24
54.38 <sand> 1
54.39 <sands> 1
54.40 <sang> 2
54.41 <sat> 17
-----------  cluster 55 is a word count cluster --------
55.0 <saucepan> 1
55.1 <saucepans> 1
55.2 <saucer> 1
55.3 <savage> 4
55.4 <save> 1
55.5 <saves> 1
55.6 <saw> 14
55.7 <say> 51
55.8 <saying> 15
55.9 <says> 4
55.10 <scale> 1
55.11 <scaly> 1
55.12 <scanning> 1
55.13 <school> 6
55.14 <schoolroom> 1
55.15 <scolded> 1
55.16 <scrambles> 1
55.17 <scrambling> 1
55.18 <scratching> 1
55.19 <scream> 2
55.20 <screamed> 4
55.21 <screaming> 1
55.22 <scroll> 2
55.23 <sea> 14
55.24 <seals> 1
55.25 <seaography> 1
55.26 <search> 1
55.27 <searched> 1
55.28 <seaside> 1
55.29 <seated> 1
55.30 <second> 5
55.31 <secondly> 2
55.32 <secret> 1
55.33 <see> 69
55.34 <seeing> 1
55.35 <seem> 8
55.36 <seemed> 27
55.37 <seems> 5
55.38 <seen> 15
55.39 <seldom> 1
55.40 <selected> 1
55.41 <sell> 2
-----------  cluster 56 is a word count cluster --------
56.0 <send> 3
56.1 <sending> 4
56.2 <sends> 1
56.3 <sensation> 2
56.4 <sense> 3
56.5 <sent> 2
56.6 <sentence> 6
56.7 <sentenced> 1
56.8 <separate> 1
56.9 <series> 1
56.10 <seriously> 1
56.11 <serpent> 9
56.12 <serpents> 3
56.13 <set> 16
56.14 <setting> 1
56.15 <settle> 1
56.16 <settled> 3
56.17 <settling> 1
56.18 <seven> 6
56.19 <several> 4
56.20 <severely> 4
56.21 <severity> 1
56.22 <sh> 2
56.23 <shade> 1
56.24 <shake> 1
56.25 <shakespeare> 1
56.26 <shaking> 3
56.27 <shall> 25
56.28 <shan> 6
56.29 <shape> 1
56.30 <shaped> 3
56.31 <share> 1
56.32 <shared> 1
56.33 <sharing> 1
56.34 <shark> 1
56.35 <sharks> 1
56.36 <sharp> 6
56.37 <sharply> 4
56.38 <she> 553
56.39 <shedding> 1
56.40 <sheep> 1
56.41 <shelves> 2
-----------  cluster 57 is a word count cluster --------
57.0 <shepherd> 1
57.1 <shifting> 1
57.2 <shilling> 1
57.3 <shillings> 1
57.4 <shingle> 1
57.5 <shining> 1
57.6 <shiny> 1
57.7 <shiver> 1
57.8 <shock> 1
57.9 <shoes> 7
57.10 <shook> 9
57.11 <shore> 4
57.12 <short> 4
57.13 <shorter> 2
57.14 <should> 31
57.15 <shoulder> 4
57.16 <shoulders> 4
57.17 <shouldn> 5
57.18 <shouted> 9
57.19 <shouting> 2
57.20 <show> 3
57.21 <shower> 2
57.22 <showing> 2
57.23 <shriek> 5
57.24 <shrieked> 1
57.25 <shrieks> 1
57.26 <shrill> 5
57.27 <shrimp> 1
57.28 <shrink> 1
57.29 <shrinking> 4
57.30 <shut> 5
57.31 <shutting> 2
57.32 <shy> 1
57.33 <shyly> 1
57.34 <side> 17
57.35 <sides> 4
57.36 <sigh> 4
57.37 <sighed> 5
57.38 <sighing> 3
57.39 <sight> 10
57.40 <sign> 1
57.41 <signed> 2
-----------  cluster 58 is a word count cluster --------
58.0 <signifies> 1
58.1 <signify> 1
58.2 <silence> 14
58.3 <silent> 7
58.4 <simple> 5
58.5 <simpleton> 1
58.6 <simply> 3
58.7 <since> 6
58.8 <sing> 6
58.9 <singers> 2
58.10 <singing> 2
58.11 <sink> 1
58.12 <sir> 7
58.13 <sister> 9
58.14 <sisters> 2
58.15 <sit> 8
58.16 <sits> 1
58.17 <sitting> 10
58.18 <six> 2
58.19 <sixpence> 1
58.20 <sixteenth> 1
58.21 <size> 14
58.22 <sizes> 2
58.23 <skimming> 1
58.24 <skirt> 1
58.25 <skurried> 1
58.26 <sky> 5
58.27 <slate> 4
58.28 <slates> 8
58.29 <sleep> 6
58.30 <sleepy> 5
58.31 <slightest> 1
58.32 <slipped> 3
58.33 <slippery> 1
58.34 <slowly> 8
58.35 <sluggard> 1
58.36 <small> 19
58.37 <smaller> 3
58.38 <smallest> 2
58.39 <smile> 2
58.40 <smiled> 2
58.41 <smiling> 2
-----------  cluster 59 is a word count cluster --------
59.0 <smoke> 1
59.1 <smoking> 2
59.2 <snail> 3
59.3 <snappishly> 1
59.4 <snatch> 2
59.5 <sneeze> 2
59.6 <sneezed> 1
59.7 <sneezes> 2
59.8 <sneezing> 6
59.9 <snorting> 1
59.10 <snout> 1
59.11 <so> 156
59.12 <sob> 1
59.13 <sobbed> 1
59.14 <sobbing> 3
59.15 <sobs> 4
59.16 <soft> 1
59.17 <softly> 1
59.18 <software> 2
59.19 <soldier> 1
59.20 <soldiers> 10
59.21 <solemn> 3
59.22 <solemnly> 4
59.23 <soles> 1
59.24 <solid> 1
59.25 <some> 53
59.26 <somebody> 7
59.27 <somehow> 1
59.28 <someone> 2
59.29 <somersault> 2
59.30 <something> 19
59.31 <sometimes> 5
59.32 <somewhere> 3
59.33 <son> 1
59.34 <song> 7
59.35 <soo> 7
59.36 <soon> 25
59.37 <sooner> 2
59.38 <soothing> 1
59.39 <sorrow> 2
59.40 <sorrowful> 2
59.41 <sorrows> 1
-----------  cluster 60 is a word count cluster --------
60.0 <sorry> 1
60.1 <sort> 21
60.2 <sorts> 3
60.3 <sound> 4
60.4 <sounded> 5
60.5 <sounds> 4
60.6 <soup> 18
60.7 <sour> 1
60.8 <sources> 1
60.9 <spades> 1
60.10 <speak> 15
60.11 <speaker> 1
60.12 <speaking> 5
60.13 <special> 1
60.14 <spectacles> 3
60.15 <speech> 3
60.16 <speed> 1
60.17 <spell> 1
60.18 <spirited> 1
60.19 <spite> 1
60.20 <splash> 1
60.21 <splashed> 1
60.22 <splashing> 2
60.23 <splendidly> 1
60.24 <spoke> 17
60.25 <spoken> 1
60.26 <spoon> 2
60.27 <spot> 1
60.28 <sprawling> 1
60.29 <spread> 3
60.30 <spreading> 1
60.31 <squeaked> 1
60.32 <squeaking> 2
60.33 <squeeze> 1
60.34 <squeezed> 1
60.35 <stairs> 3
60.36 <stalk> 1
60.37 <stamping> 2
60.38 <stand> 6
60.39 <standing> 1
60.40 <star> 1
60.41 <staring> 3
-----------  cluster 61 is a word count cluster --------
61.0 <start> 2
61.1 <started> 2
61.2 <startled> 2
61.3 <state> 1
61.4 <stated> 1
61.5 <statement> 5
61.6 <states> 3
61.7 <station> 1
61.8 <stay> 6
61.9 <stays> 1
61.10 <steady> 1
61.11 <steam> 1
61.12 <sternly> 1
61.13 <stick> 4
61.14 <sticks> 1
61.15 <stiff> 1
61.16 <stigand> 1
61.17 <still> 13
61.18 <stingy> 1
61.19 <stirring> 2
61.20 <stockings> 1
61.21 <stole> 2
61.22 <stolen> 1
61.23 <stood> 7
61.24 <stool> 1
61.25 <stoop> 2
61.26 <stop> 6
61.27 <stopped> 3
61.28 <stopping> 1
61.29 <story> 8
61.30 <straight> 2
61.31 <straightened> 1
61.32 <straightening> 1
61.33 <strange> 5
61.34 <strength> 1
61.35 <stretched> 2
61.36 <stretching> 2
61.37 <strict> 1
61.38 <strings> 1
61.39 <struck> 2
61.40 <stuff> 4
61.41 <stupid> 6
-----------  cluster 62 is a word count cluster --------
62.0 <stupidest> 1
62.1 <stupidly> 1
62.2 <subdued> 1
62.3 <subject> 6
62.4 <subjects> 1
62.5 <submitted> 1
62.6 <subscriptions> 1
62.7 <succeeded> 3
62.8 <such> 46
62.9 <sudden> 5
62.10 <suddenly> 13
62.11 <sue> 1
62.12 <suet> 1
62.13 <sugar> 2
62.14 <suggest> 1
62.15 <suggestion> 1
62.16 <suit> 3
62.17 <sulkily> 2
62.18 <sulky> 3
62.19 <summer> 2
62.20 <sun> 2
62.21 <supple> 1
62.22 <suppose> 14
62.23 <suppress> 1
62.24 <suppressed> 4
62.25 <sure> 25
62.26 <surprise> 5
62.27 <surprised> 7
62.28 <swallow> 1
62.29 <swallowed> 1
62.30 <swallowing> 1
62.31 <swam> 5
62.32 <sweet> 1
62.33 <swim> 5
62.34 <swimming> 2
62.35 <t> 220
62.36 <table> 18
62.37 <tail> 9
62.38 <tails> 3
62.39 <take> 25
62.40 <taken> 4
62.41 <takes> 2
-----------  cluster 63 is a word count cluster --------
63.0 <taking> 5
63.1 <tale> 4
63.2 <tales> 1
63.3 <talk> 14
63.4 <talking> 17
63.5 <taller> 2
63.6 <tart> 1
63.7 <tarts> 7
63.8 <taste> 2
63.9 <tasted> 3
63.10 <tastes> 1
63.11 <taught> 4
63.12 <tax> 2
63.13 <taxes> 1
63.14 <tea> 19
63.15 <teaching> 1
63.16 <teacup> 3
63.17 <teacups> 2
63.18 <teapot> 1
63.19 <tears> 11
63.20 <teases> 1
63.21 <teeth> 1
63.22 <tel> 1
63.23 <telescope> 3
63.24 <telescopes> 1
63.25 <tell> 33
63.26 <telling> 2
63.27 <tells> 3
63.28 <temper> 5
63.29 <tempered> 2
63.30 <ten> 7
63.31 <terms> 1
63.32 <terribly> 1
63.33 <terrier> 1
63.34 <terror> 1
63.35 <text> 2
63.36 <texts> 1
63.37 <than> 27
63.38 <thank> 4
63.39 <thanked> 1
63.40 <that> 326
63.41 <thatched> 1
-----------  cluster 64 is a word count cluster --------
64.0 <the> 1710
64.1 <their> 52
64.2 <theirs> 1
64.3 <them> 88
64.4 <themselves> 3
64.5 <then> 95
64.6 <there> 100
64.7 <therefore> 1
64.8 <these> 18
64.9 <they> 155
64.10 <thick> 1
64.11 <thimble> 4
64.12 <thin> 1
64.13 <thing> 49
64.14 <things> 35
64.15 <think> 54
64.16 <thinking> 11
64.17 <thirteen> 1
64.18 <this> 171
64.19 <thistle> 2
64.20 <thoroughly> 2
64.21 <those> 12
64.22 <though> 12
64.23 <thought> 74
64.24 <thoughtfully> 4
64.25 <thoughts> 2
64.26 <thousand> 3
64.27 <three> 29
64.28 <threw> 2
64.29 <throat> 2
64.30 <throne> 1
64.31 <through> 14
64.32 <throw> 3
64.33 <throwing> 2
64.34 <thrown> 1
64.35 <thump> 2
64.36 <thunder> 1
64.37 <thunderstorm> 1
64.38 <thus> 1
64.39 <thy> 1
64.40 <tide> 1
64.41 <tidy> 1
-----------  cluster 65 is a word count cluster --------
65.0 <tie> 1
65.1 <tied> 1
65.2 <tight> 1
65.3 <tilde> 1
65.4 <till> 22
65.5 <tillie> 1
65.6 <time> 75
65.7 <times> 6
65.8 <timid> 3
65.9 <timidly> 9
65.10 <tinkling> 1
65.11 <tiny> 4
65.12 <tipped> 1
65.13 <tiptoe> 2
65.14 <tired> 7
65.15 <tis> 5
65.16 <titles> 1
65.17 <tittered> 1
65.18 <tm> 6
65.19 <to> 783
65.20 <toast> 1
65.21 <today> 1
65.22 <toes> 3
65.23 <toffee> 1
65.24 <together> 9
65.25 <told> 6
65.26 <tomorrow> 1
65.27 <tone> 40
65.28 <tones> 2
65.29 <tongue> 4
65.30 <too> 27
65.31 <took> 24
65.32 <top> 8
65.33 <tops> 1
65.34 <tortoise> 3
65.35 <toss> 1
65.36 <tossing> 3
65.37 <touch> 1
65.38 <tougher> 1
65.39 <towards> 1
65.40 <toys> 1
65.41 <trademark> 2
-----------  cluster 66 is a word count cluster --------
66.0 <trampled> 1
66.1 <transcribe> 1
66.2 <transcription> 1
66.3 <traps> 1
66.4 <tray> 1
66.5 <treacle> 7
66.6 <treading> 2
66.7 <treat> 1
66.8 <treated> 1
66.9 <tree> 8
66.10 <trees> 7
66.11 <tremble> 1
66.12 <trembled> 2
66.13 <trembling> 6
66.14 <tremulous> 1
66.15 <trial> 10
66.16 <trials> 1
66.17 <trickling> 1
66.18 <tricks> 1
66.19 <tried> 20
66.20 <trillion> 2
66.21 <trims> 1
66.22 <triumphantly> 2
66.23 <trot> 1
66.24 <trotting> 2
66.25 <trouble> 6
66.26 <true> 4
66.27 <trumpet> 3
66.28 <trusts> 1
66.29 <truth> 1
66.30 <truthful> 1
66.31 <try> 14
66.32 <trying> 15
66.33 <tucked> 3
66.34 <tulip> 1
66.35 <tumbled> 1
66.36 <tumbling> 2
66.37 <tunnel> 1
66.38 <tureen> 1
66.39 <turkey> 1
66.40 <turn> 11
66.41 <turned> 16
-----------  cluster 67 is a word count cluster --------
67.0 <turning> 12
67.1 <turns> 3
67.2 <turtle> 59
67.3 <turtles> 2
67.4 <tut> 2
67.5 <twelfth> 1
67.6 <twelve> 4
67.7 <twentieth> 1
67.8 <twenty> 3
67.9 <twice> 5
67.10 <twinkle> 8
67.11 <twinkled> 1
67.12 <twinkling> 4
67.13 <twist> 2
67.14 <two> 41
67.15 <txt> 4
67.16 <type> 1
67.17 <ugh> 2
67.18 <uglification> 2
67.19 <uglify> 1
67.20 <uglifying> 1
67.21 <ugly> 2
67.22 <uiuc> 2
67.23 <uiucvmd> 1
67.24 <unable> 1
67.25 <uncivil> 1
67.26 <uncomfortable> 4
67.27 <uncomfortably> 1
67.28 <uncommon> 1
67.29 <uncommonly> 1
67.30 <uncorked> 1
67.31 <under> 19
67.32 <underline> 1
67.33 <underneath> 1
67.34 <understand> 7
67.35 <understood> 1
67.36 <undertone> 2
67.37 <undo> 1
67.38 <undoing> 1
67.39 <uneasily> 2
67.40 <uneasy> 1
67.41 <unfolded> 2
-----------  cluster 68 is a word count cluster --------
68.0 <unfortunate> 3
68.1 <unhappy> 2
68.2 <unimportant> 5
68.3 <united> 2
68.4 <unjust> 1
68.5 <unless> 2
68.6 <unlocking> 1
68.7 <unpleasant> 2
68.8 <unrolled> 2
68.9 <until> 5
68.10 <untwist> 1
68.11 <unusually> 1
68.12 <unwillingly> 1
68.13 <up> 102
68.14 <upon> 26
68.15 <upping> 1
68.16 <upright> 1
68.17 <upset> 3
68.18 <upsetting> 1
68.19 <upstairs> 1
68.20 <us> 17
68.21 <use> 20
68.22 <used> 15
68.23 <useful> 2
68.24 <users> 2
68.25 <using> 4
68.26 <usual> 5
68.27 <usually> 2
68.28 <usurpation> 1
68.29 <v> 1
68.30 <vague> 1
68.31 <value> 1
68.32 <vanilla> 1
68.33 <vanished> 4
68.34 <vanishing> 1
68.35 <variations> 1
68.36 <various> 1
68.37 <ve> 44
68.38 <vegetable> 1
68.39 <velvet> 1
68.40 <venture> 3
68.41 <ventured> 4
-----------  cluster 69 is a word count cluster --------
69.0 <ver> 1
69.1 <verdict> 4
69.2 <verse> 4
69.3 <verses> 4
69.4 <version> 1
69.5 <versions> 1
69.6 <very> 144
69.7 <vi> 1
69.8 <vii> 1
69.9 <viii> 1
69.10 <vinegar> 1
69.11 <violence> 1
69.12 <violent> 2
69.13 <violently> 4
69.14 <virus> 1
69.15 <visit> 1
69.16 <vmd> 1
69.17 <voice> 48
69.18 <voices> 3
69.19 <volunteers> 1
69.20 <vote> 1
69.21 <vulgar> 1
69.22 <w> 1
69.23 <wag> 1
69.24 <wags> 1
69.25 <waist> 1
69.26 <waistcoat> 2
69.27 <wait> 1
69.28 <waited> 11
69.29 <waiting> 9
69.30 <wake> 2
69.31 <walk> 5
69.32 <walked> 10
69.33 <walking> 5
69.34 <walrus> 1
69.35 <wander> 1
69.36 <wandered> 2
69.37 <wandering> 2
69.38 <want> 11
69.39 <wanted> 4
69.40 <wants> 2
69.41 <warning> 1
-----------  cluster 70 is a word count cluster --------
70.0 <warranties> 3
70.1 <warranty> 2
70.2 <was> 357
70.3 <wash> 2
70.4 <washing> 3
70.5 <wasn> 11
70.6 <waste> 1
70.7 <wasting> 2
70.8 <watch> 8
70.9 <watched> 2
70.10 <watching> 3
70.11 <water> 5
70.12 <waters> 1
70.13 <waving> 5
70.14 <way> 56
70.15 <ways> 1
70.16 <we> 47
70.17 <weak> 2
70.18 <wearily> 1
70.19 <week> 4
70.20 <weeks> 1
70.21 <welcome> 2
70.22 <well> 63
70.23 <went> 83
70.24 <wept> 1
70.25 <were> 86
70.26 <weren> 1
70.27 <wet> 2
70.28 <what> 143
70.29 <whatever> 3
70.30 <when> 81
70.31 <whenever> 1
70.32 <where> 15
70.33 <whereupon> 1
70.34 <wherever> 2
70.35 <whether> 11
70.36 <which> 50
70.37 <while> 25
70.38 <whiles> 1
70.39 <whiskers> 3
70.40 <whisper> 3
70.41 <whispered> 5
-----------  cluster 71 is a word count cluster --------
71.0 <whispers> 1
71.1 <whistle> 1
71.2 <whistling> 1
71.3 <white> 30
71.4 <whiting> 8
71.5 <who> 64
71.6 <whoever> 1
71.7 <whole> 13
71.8 <whom> 1
71.9 <whose> 2
71.10 <why> 41
71.11 <wide> 2
71.12 <wider> 1
71.13 <wife> 1
71.14 <wig> 2
71.15 <wild> 2
71.16 <wildly> 2
71.17 <will> 36
71.18 <william> 8
71.19 <win> 1
71.20 <wind> 2
71.21 <window> 8
71.22 <wine> 2
71.23 <wings> 1
71.24 <wink> 2
71.25 <winter> 1
71.26 <wise> 2
71.27 <wish> 24
71.28 <with> 184
71.29 <within> 6
71.30 <without> 28
71.31 <witness> 10
71.32 <wits> 1
71.33 <woke> 1
71.34 <woman> 2
71.35 <won> 26
71.36 <wonder> 18
71.37 <wondered> 1
71.38 <wonderful> 2
71.39 <wondering> 7
71.40 <wonderland> 6
71.41 <wood> 8
-----------  cluster 72 is a word count cluster --------
72.0 <wooden> 1
72.1 <word> 12
72.2 <words> 21
72.3 <wore> 1
72.4 <work> 12
72.5 <works> 2
72.6 <world> 8
72.7 <worm> 1
72.8 <worried> 1
72.9 <worry> 1
72.10 <worse> 3
72.11 <worth> 4
72.12 <would> 84
72.13 <wouldn> 13
72.14 <wow> 6
72.15 <wrapping> 1
72.16 <wretched> 2
72.17 <wriggling> 1
72.18 <write> 6
72.19 <writhing> 1
72.20 <writing> 6
72.21 <written> 7
72.22 <wrong> 7
72.23 <wrote> 3
72.24 <x> 2
72.25 <xi> 1
72.26 <xii> 1
72.27 <xxx> 1
72.28 <xxxxx10x> 1
72.29 <yard> 1
72.30 <yards> 1
72.31 <yawned> 2
72.32 <yawning> 2
72.33 <ye> 1
72.34 <year> 5
72.35 <years> 1
72.36 <yelled> 1
72.37 <yelp> 1
72.38 <yer> 4
72.39 <yes> 13
72.40 <yesterday> 3
72.41 <yet> 25
-----------  cluster 73 is a word count cluster --------
73.0 <you> 465
73.1 <young> 5
73.2 <your> 72
73.3 <yours> 3
73.4 <yourself> 10
73.5 <youth> 6
73.6 <zealand> 1
73.7 <zigzag> 1
73.8 <zip> 3
73.9 <> 1
read 74 clusters