-----------  cluster 0 is an index cluster --------
0.0 <0> 1
0.1 <bristle> 44
0.2 <dipping> 87
0.3 <gospel> 130
0.4 <mainland> 173
0.5 <preferer> 216
0.6 <snowing> 259
0.7 <volcanos> 302
0.8 <> 0
-----------  cluster 1 is an index cluster --------
1.0 <0> 2
1.1 <15> 3
1.2 <1764> 4
1.3 <19> 5
1.4 <242> 6
1.5 <3100> 7
1.6 <400> 8
1.7 <540> 9
1.8 <746> 10
1.9 <able> 11
1.10 <acacias> 12
1.11 <accurate> 13
1.12 <add> 14
1.13 <advantageous> 15
1.14 <agate> 16
1.15 <alameda> 17
1.16 <alluding> 18
1.17 <america> 19
1.18 <ancient> 20
1.19 <anomalies> 21
1.20 <anyone> 22
1.21 <appreciated> 23
1.22 <architecture> 24
1.23 <arragonite> 25
1.24 <ascii> 26
1.25 <association> 27
1.26 <attack> 28
1.27 <audubon> 29
1.28 <awakened> 30
1.29 <bahia> 31
1.30 <barbarous> 32
1.31 <basking> 33
1.32 <beating> 34
1.33 <beholder> 35
1.34 <berkeley> 36
1.35 <bifurcation> 37
1.36 <bizcachas> 38
1.37 <blockade> 39
1.38 <boiling> 40
1.39 <borrow> 41
1.40 <brachiotis> 42
1.41 <breath> 43
-----------  cluster 2 is a word count cluster --------
2.0 <0> 3
2.1 <00> 1
2.2 <000> 23
2.3 <006> 1
2.4 <008> 1
2.5 <019> 1
2.6 <04> 2
2.7 <06> 1
2.8 <08> 2
2.9 <1> 51
2.10 <10> 28
2.11 <100> 6
2.12 <1000> 10
2.13 <10th> 6
2.14 <11> 14
2.15 <110> 1
2.16 <1100> 2
2.17 <117> 1
2.18 <118> 1
2.19 <119> 2
2.20 <11th> 8
2.21 <12> 15
2.22 <120> 2
2.23 <1200> 3
2.24 <122> 1
2.25 <123> 1
2.26 <1230> 1
2.27 <124> 1
2.28 <129> 1
2.29 <12th> 10
2.30 <13> 13
2.31 <1300> 3
2.32 <132> 1
2.33 <134> 1
2.34 <1350> 1
2.35 <137> 1
2.36 <13th> 6
2.37 <14> 11
2.38 <140> 1
2.39 <1449> 1
2.40 <1497> 1
2.41 <14th> 7
-----------  cluster 3 is a word count cluster --------
3.0 <15> 11
3.1 <150> 7
3.2 <1500> 8
3.3 <1501> 1
3.4 <1502> 2
3.5 <151> 1
3.6 <1535> 2
3.7 <1537> 2
3.8 <154> 1
3.9 <155> 1
3.10 <157> 2
3.11 <1571> 2
3.12 <158> 1
3.13 <1580> 2
3.14 <15th> 9
3.15 <16> 8
3.16 <160> 2
3.17 <1600> 2
3.18 <1601> 1
3.19 <1605> 1
3.20 <1669> 1
3.21 <1670> 1
3.22 <168> 2
3.23 <1684> 1
3.24 <16th> 9
3.25 <17> 7
3.26 <170> 2
3.27 <1700> 1
3.28 <1708> 1
3.29 <1709> 1
3.30 <1713> 1
3.31 <1716> 1
3.32 <1724> 2
3.33 <173> 1
3.34 <1731> 1
3.35 <1741> 1
3.36 <1746> 2
3.37 <1749> 1
3.38 <175> 3
3.39 <1750> 1
3.40 <1751> 1
3.41 <1763> 1
-----------  cluster 4 is a word count cluster --------
4.0 <1764> 1
4.1 <1768> 1
4.2 <1790> 1
4.3 <1791> 1
4.4 <1793> 2
4.5 <1794> 1
4.6 <17th> 11
4.7 <18> 8
4.8 <180> 3
4.9 <1800> 1
4.10 <1803> 2
4.11 <1807> 1
4.12 <1808> 1
4.13 <1817> 2
4.14 <1820> 1
4.15 <1822> 5
4.16 <1825> 2
4.17 <1826> 3
4.18 <1827> 2
4.19 <1828> 1
4.20 <1829> 1
4.21 <183> 1
4.22 <1830> 11
4.23 <1831> 2
4.24 <1832> 9
4.25 <1833> 8
4.26 <1834> 6
4.27 <1835> 7
4.28 <1836> 4
4.29 <1837> 2
4.30 <1838> 1
4.31 <1839> 2
4.32 <184> 1
4.33 <1840> 1
4.34 <1841> 1
4.35 <1842> 2
4.36 <1844> 2
4.37 <1845> 7
4.38 <185> 1
4.39 <1857> 1
4.40 <1859> 1
4.41 <18th> 14
-----------  cluster 5 is a word count cluster --------
5.0 <19> 6
5.1 <193> 1
5.2 <197> 1
5.3 <1971> 1
5.4 <199> 1
5.5 <1996> 1
5.6 <1997> 1
5.7 <19th> 16
5.8 <1st> 11
5.9 <2> 51
5.10 <20> 19
5.11 <200> 9
5.12 <2000> 11
5.13 <2001> 3
5.14 <205> 1
5.15 <207> 1
5.16 <20th> 21
5.17 <21> 8
5.18 <210> 2
5.19 <213> 1
5.20 <215> 1
5.21 <217> 2
5.22 <218> 1
5.23 <21st> 8
5.24 <22> 4
5.25 <220> 3
5.26 <2200> 3
5.27 <221> 1
5.28 <222> 1
5.29 <225> 1
5.30 <227> 1
5.31 <228> 1
5.32 <22nd> 11
5.33 <23> 4
5.34 <2300> 1
5.35 <233> 1
5.36 <239> 1
5.37 <23rd> 10
5.38 <24> 4
5.39 <240> 1
5.40 <2400> 3
5.41 <241> 1
-----------  cluster 6 is a word count cluster --------
6.0 <242> 1
6.1 <244> 1
6.2 <248> 1
6.3 <249> 1
6.4 <24th> 9
6.5 <25> 3
6.6 <250> 4
6.7 <2500> 2
6.8 <253> 1
6.9 <255> 1
6.10 <257> 1
6.11 <258> 1
6.12 <25th> 5
6.13 <26> 3
6.14 <2600> 1
6.15 <26th> 10
6.16 <2700> 1
6.17 <274> 1
6.18 <276> 1
6.19 <2782> 1
6.20 <27th> 9
6.21 <28> 3
6.22 <280> 1
6.23 <2800> 1
6.24 <282> 1
6.25 <2840> 1
6.26 <2862> 1
6.27 <287> 1
6.28 <28th> 6
6.29 <29> 6
6.30 <294> 1
6.31 <297> 1
6.32 <29th> 8
6.33 <2nd> 4
6.34 <2s> 1
6.35 <3> 43
6.36 <30> 12
6.37 <300> 5
6.38 <3000> 8
6.39 <305> 1
6.40 <30th> 7
6.41 <31> 1
-----------  cluster 7 is a word count cluster --------
7.0 <3100> 2
7.1 <314> 1
7.2 <317> 1
7.3 <319> 1
7.4 <32> 5
7.5 <320> 1
7.6 <3200> 1
7.7 <324> 1
7.8 <33> 5
7.9 <3300> 1
7.10 <332> 1
7.11 <334> 1
7.12 <3340> 1
7.13 <337> 2
7.14 <34> 2
7.15 <340> 2
7.16 <3400> 1
7.17 <35> 4
7.18 <350> 4
7.19 <3500> 1
7.20 <351> 1
7.21 <354> 1
7.22 <36> 5
7.23 <360> 6
7.24 <363> 3
7.25 <37> 7
7.26 <370> 1
7.27 <373> 1
7.28 <374> 1
7.29 <378> 1
7.30 <38> 6
7.31 <381> 1
7.32 <383> 1
7.33 <384> 1
7.34 <386> 2
7.35 <39> 4
7.36 <392> 1
7.37 <395> 1
7.38 <3l> 1
7.39 <3rd> 7
7.40 <4> 48
7.41 <40> 9
-----------  cluster 8 is a word count cluster --------
8.0 <400> 8
8.1 <4000> 4
8.2 <41> 9
8.3 <415> 2
8.4 <416> 1
8.5 <418> 1
8.6 <42> 2
8.7 <420> 2
8.8 <425> 1
8.9 <426> 1
8.10 <43> 3
8.11 <434> 1
8.12 <438> 1
8.13 <44> 1
8.14 <45> 8
8.15 <450> 3
8.16 <4500> 1
8.17 <454> 1
8.18 <46> 3
8.19 <466> 1
8.20 <47> 2
8.21 <472> 1
8.22 <474> 1
8.23 <48> 2
8.24 <480> 1
8.25 <49> 2
8.26 <496> 1
8.27 <4s> 1
8.28 <4th> 8
8.29 <5> 41
8.30 <50> 8
8.31 <500> 12
8.32 <5000> 1
8.33 <505> 1
8.34 <51> 4
8.35 <517> 1
8.36 <520> 1
8.37 <524> 1
8.38 <526> 2
8.39 <528> 2
8.40 <53> 4
8.41 <54> 6
-----------  cluster 9 is a word count cluster --------
9.0 <540> 1
9.1 <55> 3
9.2 <550> 1
9.3 <5500> 1
9.4 <555> 1
9.5 <56> 4
9.6 <5600> 1
9.7 <57> 4
9.8 <58> 4
9.9 <580> 1
9.10 <59> 1
9.11 <5th> 9
9.12 <6> 35
9.13 <60> 5
9.14 <600> 9
9.15 <6000> 5
9.16 <6048> 1
9.17 <61825> 1
9.18 <62> 2
9.19 <6200> 1
9.20 <63> 2
9.21 <64> 3
9.22 <6400> 1
9.23 <65> 4
9.24 <650> 1
9.25 <66> 1
9.26 <664> 1
9.27 <67> 4
9.28 <68> 1
9.29 <6800> 2
9.30 <69> 1
9.31 <6d> 2
9.32 <6th> 9
9.33 <7> 28
9.34 <70> 7
9.35 <700> 6
9.36 <7000> 3
9.37 <71> 1
9.38 <72> 2
9.39 <720> 1
9.40 <7200> 1
9.41 <74> 3
-----------  cluster 10 is a word count cluster --------
10.0 <746> 1
10.1 <748> 1
10.2 <750> 1
10.3 <7500> 1
10.4 <76> 1
10.5 <79> 1
10.6 <7th> 5
10.7 <8> 27
10.8 <80> 3
10.9 <800> 8
10.10 <8000> 3
10.11 <804> 1
10.12 <826> 1
10.13 <83> 1
10.14 <84> 1
10.15 <840> 1
10.16 <85> 1
10.17 <88> 1
10.18 <8s> 1
10.19 <8th> 9
10.20 <9> 24
10.21 <90> 4
10.22 <900> 1
10.23 <9000> 3
10.24 <92> 2
10.25 <93> 3
10.26 <94> 1
10.27 <944> 1
10.28 <950> 1
10.29 <96> 2
10.30 <982> 1
10.31 <9th> 6
10.32 <a> 5355
10.33 <abandon> 1
10.34 <abbott> 1
10.35 <abdomen> 2
10.36 <abdominal> 1
10.37 <abide> 1
10.38 <abingdon> 1
10.39 <abipones> 2
10.40 <abject> 2
10.41 <abl> 1
-----------  cluster 11 is a word count cluster --------
11.0 <able> 47
11.1 <ablutions> 1
11.2 <abnormal> 2
11.3 <abode> 1
11.4 <abodes> 2
11.5 <abolished> 1
11.6 <aboriginal> 14
11.7 <aboriginally> 1
11.8 <aborigines> 10
11.9 <abound> 6
11.10 <abounded> 5
11.11 <abounding> 6
11.12 <abounds> 3
11.13 <about> 291
11.14 <above> 144
11.15 <abrolhos> 2
11.16 <abrupt> 6
11.17 <abruptly> 14
11.18 <abruptness> 2
11.19 <absence> 28
11.20 <absent> 7
11.21 <absolute> 7
11.22 <absolutely> 30
11.23 <absorbed> 6
11.24 <absorbent> 1
11.25 <absorption> 1
11.26 <abstain> 1
11.27 <abstract> 2
11.28 <absurd> 1
11.29 <absurdity> 2
11.30 <absurdly> 1
11.31 <abundance> 17
11.32 <abundant> 50
11.33 <abundantly> 5
11.34 <abused> 2
11.35 <abuts> 2
11.36 <abutting> 1
11.37 <abyss> 2
11.38 <abysses> 1
11.39 <abyssinia> 1
11.40 <ac> 1
11.41 <acacia> 5
-----------  cluster 12 is a word count cluster --------
12.0 <acacias> 1
12.1 <academy> 1
12.2 <acalypha> 1
12.3 <acapulco> 1
12.4 <acceded> 1
12.5 <accelerated> 1
12.6 <accept> 3
12.7 <acceptance> 1
12.8 <accepted> 4
12.9 <accepting> 1
12.10 <accepts> 1
12.11 <accession> 1
12.12 <accident> 7
12.13 <accidental> 3
12.14 <accidentally> 4
12.15 <accidents> 6
12.16 <acclivity> 1
12.17 <accommodate> 1
12.18 <accommodation> 1
12.19 <accommodations> 1
12.20 <accompanied> 28
12.21 <accompanies> 1
12.22 <accompaniment> 1
12.23 <accompaniments> 2
12.24 <accompany> 9
12.25 <accompanying> 4
12.26 <accomplishment> 1
12.27 <accord> 2
12.28 <accordance> 3
12.29 <accorded> 1
12.30 <according> 55
12.31 <accordingly> 8
12.32 <accoun> 1
12.33 <account> 64
12.34 <accounted> 7
12.35 <accounting> 1
12.36 <accounts> 9
12.37 <accumulate> 5
12.38 <accumulated> 15
12.39 <accumulation> 4
12.40 <accumulations> 1
12.41 <accuracy> 3
-----------  cluster 13 is a word count cluster --------
13.0 <accurate> 3
13.1 <accurately> 1
13.2 <accused> 2
13.3 <accustomed> 22
13.4 <accustoming> 1
13.5 <acid> 4
13.6 <acknowledge> 1
13.7 <acknowledged> 1
13.8 <acknowledging> 2
13.9 <aconcagua> 10
13.10 <acquaintance> 2
13.11 <acquainted> 9
13.12 <acquiescence> 1
13.13 <acquire> 3
13.14 <acquired> 9
13.15 <acquirements> 1
13.16 <acquires> 1
13.17 <acquiring> 2
13.18 <acre> 4
13.19 <acres> 2
13.20 <acrid> 3
13.21 <acrimoniously> 1
13.22 <across> 44
13.23 <acrydium> 1
13.24 <act> 20
13.25 <acted> 8
13.26 <acting> 6
13.27 <actinia> 1
13.28 <action> 50
13.29 <actions> 6
13.30 <active> 21
13.31 <activity> 3
13.32 <actress> 1
13.33 <acts> 7
13.34 <actual> 5
13.35 <actually> 17
13.36 <acunha> 2
13.37 <acut> 1
13.38 <acute> 4
13.39 <acuteness> 1
13.40 <adaptation> 3
13.41 <adapted> 16
-----------  cluster 14 is a word count cluster --------
14.0 <add> 23
14.1 <added> 12
14.2 <adding> 2
14.3 <addition> 2
14.4 <additional> 5
14.5 <addled> 3
14.6 <address> 2
14.7 <addressed> 2
14.8 <adds> 6
14.9 <adduced> 3
14.10 <adequate> 1
14.11 <adhere> 4
14.12 <adhered> 3
14.13 <adhering> 6
14.14 <adhesive> 1
14.15 <adimonia> 1
14.16 <adios> 1
14.17 <adjoining> 11
14.18 <adjutant> 1
14.19 <admirable> 15
14.20 <admirably> 5
14.21 <admiral> 1
14.22 <admiralty> 2
14.23 <admiration> 14
14.24 <admire> 3
14.25 <admired> 8
14.26 <admirer> 2
14.27 <admiring> 6
14.28 <admit> 7
14.29 <admitted> 1
14.30 <admixture> 1
14.31 <adopted> 1
14.32 <adorations> 1
14.33 <adorned> 2
14.34 <adroit> 1
14.35 <adultery> 1
14.36 <advance> 5
14.37 <advanced> 12
14.38 <advancement> 1
14.39 <advances> 2
14.40 <advancing> 2
14.41 <advantage> 18
-----------  cluster 15 is a word count cluster --------
15.0 <advantageous> 1
15.1 <advantages> 4
15.2 <adventure> 7
15.3 <adventurous> 1
15.4 <adventurously> 1
15.5 <adversary> 4
15.6 <adverse> 1
15.7 <advice> 1
15.8 <advisable> 1
15.9 <advised> 1
15.10 <advisor> 1
15.11 <aerial> 5
15.12 <aeriform> 1
15.13 <aeronaut> 2
15.14 <aestivation> 1
15.15 <afar> 2
15.16 <affair> 2
15.17 <affairs> 3
15.18 <affect> 4
15.19 <affected> 17
15.20 <affecting> 2
15.21 <affection> 6
15.22 <affections> 2
15.23 <affinity> 6
15.24 <affirm> 6
15.25 <affirmed> 3
15.26 <affirms> 1
15.27 <afford> 15
15.28 <afforded> 8
15.29 <affording> 1
15.30 <affords> 5
15.31 <aflicto> 1
15.32 <afraid> 8
15.33 <africa> 34
15.34 <african> 1
15.35 <afrique> 1
15.36 <after> 236
15.37 <afternoon> 12
15.38 <afterwards> 84
15.39 <agai> 1
15.40 <again> 100
15.41 <against> 55
-----------  cluster 16 is a word count cluster --------
16.0 <agate> 1
16.1 <agave> 3
16.2 <agaves> 1
16.3 <age> 13
16.4 <agency> 7
16.5 <agent> 3
16.6 <agents> 4
16.7 <ages> 18
16.8 <agglutinated> 1
16.9 <aggregated> 2
16.10 <aggressor> 3
16.11 <agitated> 3
16.12 <agitation> 2
16.13 <ago> 25
16.14 <agony> 1
16.15 <agouti> 10
16.16 <agoutis> 1
16.17 <agree> 12
16.18 <agreeable> 2
16.19 <agreed> 8
16.20 <agreement> 1
16.21 <agrees> 1
16.22 <agricult> 2
16.23 <agricultural> 2
16.24 <agriculture> 3
16.25 <agriculturists> 2
16.26 <aground> 2
16.27 <agua> 4
16.28 <ague> 1
16.29 <agueros> 2
16.30 <ah> 3
16.31 <ahead> 10
16.32 <aid> 24
16.33 <aided> 3
16.34 <aim> 3
16.35 <aimed> 1
16.36 <air> 73
16.37 <airs> 2
16.38 <airy> 2
16.39 <akad> 2
16.40 <al> 3
16.41 <alacrity> 1
-----------  cluster 17 is a word count cluster --------
17.0 <alameda> 1
17.1 <alarm> 5
17.2 <alarmed> 4
17.3 <alba> 1
17.4 <albatross> 6
17.5 <albemarle> 14
17.6 <albiceps> 1
17.7 <albicollis> 2
17.8 <albicores> 1
17.9 <albino> 1
17.10 <albuminous> 1
17.11 <alcicornis> 1
17.12 <alcide> 1
17.13 <alderman> 1
17.14 <alehouses> 1
17.15 <aleide> 1
17.16 <alerce> 2
17.17 <alfalfa> 1
17.18 <algarroba> 1
17.19 <alight> 4
17.20 <alighted> 4
17.21 <alighting> 1
17.22 <alights> 2
17.23 <alive> 18
17.24 <all> 514
17.25 <allan> 2
17.26 <allays> 1
17.27 <alleged> 1
17.28 <alliance> 2
17.29 <alliances> 1
17.30 <allied> 35
17.31 <allies> 1
17.32 <alligators> 1
17.33 <allow> 16
17.34 <allowable> 1
17.35 <allowance> 3
17.36 <allowed> 29
17.37 <allowing> 6
17.38 <allows> 4
17.39 <allude> 3
17.40 <alluded> 7
17.41 <alludes> 1
-----------  cluster 18 is a word count cluster --------
18.0 <alluding> 2
18.1 <allusions> 1
18.2 <alluvial> 12
18.3 <alluvium> 4
18.4 <ally> 1
18.5 <almighty> 1
18.6 <almos> 1
18.7 <almost> 141
18.8 <aloe> 1
18.9 <alone> 41
18.10 <along> 76
18.11 <alongside> 6
18.12 <alpine> 11
18.13 <alps> 1
18.14 <already> 37
18.15 <also> 144
18.16 <alta> 6
18.17 <altar> 2
18.18 <alter> 1
18.19 <alteration> 1
18.20 <altered> 11
18.21 <alternate> 4
18.22 <alternately> 7
18.23 <alternating> 5
18.24 <alternation> 2
18.25 <alternative> 1
18.26 <alternatively> 2
18.27 <althoug> 1
18.28 <although> 150
18.29 <altitude> 4
18.30 <alto> 1
18.31 <altogether> 10
18.32 <alway> 2
18.33 <always> 83
18.34 <am> 59
18.35 <amalgamation> 1
18.36 <amancaes> 1
18.37 <amarga> 2
18.38 <ambassadors> 3
18.39 <ambient> 1
18.40 <ambitious> 1
18.41 <amblyrhynchus> 9
-----------  cluster 19 is a word count cluster --------
19.0 <america> 136
19.1 <american> 43
19.2 <americana> 2
19.3 <americans> 1
19.4 <americas> 3
19.5 <amerique> 1
19.6 <amidst> 16
19.7 <ammunition> 2
19.8 <amoncelees> 1
19.9 <among> 66
19.10 <amongst> 26
19.11 <amount> 24
19.12 <amounted> 4
19.13 <amounting> 1
19.14 <amounts> 3
19.15 <amphibious> 2
19.16 <amphitheatre> 2
19.17 <amphitheatrical> 2
19.18 <amply> 2
19.19 <ampullariae> 1
19.20 <amused> 14
19.21 <amusement> 5
19.22 <amusing> 9
19.23 <an> 824
19.24 <ana> 1
19.25 <analogies> 1
19.26 <analogous> 16
19.27 <analogue> 1
19.28 <analogy> 2
19.29 <analysis> 2
19.30 <analyze> 1
19.31 <analyzed> 3
19.32 <anarchy> 2
19.33 <anas> 2
19.34 <anat> 1
19.35 <anatomists> 1
19.36 <ancestors> 1
19.37 <anchor> 17
19.38 <anchorage> 11
19.39 <anchored> 38
19.40 <anchoring> 2
19.41 <anchors> 1
-----------  cluster 20 is a word count cluster --------
20.0 <ancient> 30
20.1 <anciently> 1
20.2 <ancients> 1
20.3 <and> 5779
20.4 <andalusia> 1
20.5 <ande> 1
20.6 <andes> 29
20.7 <andrew> 2
20.8 <anecdote> 8
20.9 <anemone> 1
20.10 <anew> 1
20.11 <angle> 9
20.12 <angles> 13
20.13 <anglified> 1
20.14 <angrily> 1
20.15 <angry> 2
20.16 <angula> 1
20.17 <angular> 11
20.18 <anima> 1
20.19 <animal> 137
20.20 <animalcula> 3
20.21 <animalcule> 1
20.22 <animalized> 1
20.23 <animals> 214
20.24 <animas> 3
20.25 <animated> 5
20.26 <ankles> 1
20.27 <ann> 1
20.28 <annal> 1
20.29 <annales> 2
20.30 <annals> 6
20.31 <annelidous> 1
20.32 <annihilated> 1
20.33 <anniversary> 1
20.34 <announced> 3
20.35 <announcement> 1
20.36 <annoyance> 1
20.37 <annoying> 1
20.38 <annual> 5
20.39 <annually> 4
20.40 <annuelle> 1
20.41 <annum> 3
-----------  cluster 21 is a word count cluster --------
21.0 <anomalies> 1
21.1 <anomalous> 2
21.2 <anomaly> 1
21.3 <anonymous> 1
21.4 <another> 144
21.5 <anson> 1
21.6 <answer> 19
21.7 <answered> 15
21.8 <answers> 1
21.9 <ant> 10
21.10 <antagonist> 3
21.11 <antagonistic> 1
21.12 <antarctic> 6
21.13 <antarctica> 1
21.14 <antarcticus> 1
21.15 <anteater> 1
21.16 <antecedent> 2
21.17 <antechamber> 1
21.18 <antediluvian> 2
21.19 <antelope> 1
21.20 <antelopes> 2
21.21 <antennae> 2
21.22 <antennatus> 1
21.23 <anterior> 4
21.24 <anthus> 1
21.25 <anticipated> 2
21.26 <anticipates> 1
21.27 <anticipating> 1
21.28 <antics> 1
21.29 <antilles> 1
21.30 <antipodes> 3
21.31 <antiquarian> 2
21.32 <antiquity> 4
21.33 <antonio> 1
21.34 <antrum> 1
21.35 <ants> 6
21.36 <antuco> 3
21.37 <anxiety> 1
21.38 <anxious> 12
21.39 <anxiously> 1
21.40 <any> 378
21.41 <anyhow> 1
-----------  cluster 22 is a word count cluster --------
22.0 <anyone> 1
22.1 <anything> 36
22.2 <anywhere> 8
22.3 <apar> 2
22.4 <apart> 18
22.5 <apartments> 1
22.6 <apate> 1
22.7 <apertures> 1
22.8 <apex> 1
22.9 <aphodius> 2
22.10 <apiece> 3
22.11 <apire> 2
22.12 <apires> 2
22.13 <aplysia> 2
22.14 <apology> 1
22.15 <apostles> 1
22.16 <apparatus> 2
22.17 <apparent> 15
22.18 <apparently> 28
22.19 <apparition> 1
22.20 <appea> 2
22.21 <appeal> 1
22.22 <appealing> 1
22.23 <appear> 91
22.24 <appearance> 119
22.25 <appearances> 1
22.26 <appeared> 80
22.27 <appearing> 10
22.28 <appears> 102
22.29 <append> 1
22.30 <appendage> 3
22.31 <appendages> 2
22.32 <appended> 1
22.33 <appendix> 7
22.34 <appetites> 2
22.35 <apple> 6
22.36 <apples> 7
22.37 <applicable> 6
22.38 <applied> 5
22.39 <applies> 1
22.40 <apply> 5
22.41 <appreciable> 1
-----------  cluster 23 is a word count cluster --------
23.0 <appreciated> 1
23.1 <apprehend> 1
23.2 <apprehension> 1
23.3 <apprehensions> 1
23.4 <approach> 15
23.5 <approached> 16
23.6 <approaches> 4
23.7 <approachin> 1
23.8 <approaching> 13
23.9 <appropriately> 2
23.10 <approximately> 2
23.11 <apricots> 1
23.12 <april> 28
23.13 <apron> 1
23.14 <apt> 3
23.15 <aptenodytes> 1
23.16 <apteryz> 1
23.17 <aptly> 1
23.18 <aquatic> 14
23.19 <aqueous> 1
23.20 <aqui> 1
23.21 <aquinas> 1
23.22 <ar> 5
23.23 <arab> 1
23.24 <arabian> 1
23.25 <arachnidae> 1
23.26 <arago> 1
23.27 <araucanians> 1
23.28 <araucarian> 1
23.29 <arauco> 1
23.30 <arbitrarily> 1
23.31 <arborescent> 7
23.32 <arbour> 1
23.33 <arbours> 1
23.34 <arbutus> 1
23.35 <arch> 3
23.36 <arched> 9
23.37 <archer> 2
23.38 <archipelago> 87
23.39 <archipelagoes> 5
23.40 <architects> 2
23.41 <architectural> 1
-----------  cluster 24 is a word count cluster --------
24.0 <architecture> 1
24.1 <archives> 1
24.2 <archways> 2
24.3 <arctic> 10
24.4 <ardent> 2
24.5 <are> 1184
24.6 <area> 19
24.7 <areas> 19
24.8 <areco> 2
24.9 <arenales> 1
24.10 <arequipa> 2
24.11 <argillaceo> 1
24.12 <argillaceous> 1
24.13 <argue> 1
24.14 <argued> 1
24.15 <argument> 2
24.16 <arguments> 1
24.17 <argyroneta> 1
24.18 <ari> 1
24.19 <arica> 1
24.20 <arid> 15
24.21 <arise> 7
24.22 <arises> 4
24.23 <arising> 4
24.24 <aristocracy> 1
24.25 <aristocrats> 1
24.26 <arm> 28
24.27 <armadillo> 8
24.28 <armadilloes> 7
24.29 <armadillos> 2
24.30 <armado> 1
24.31 <armed> 10
24.32 <armful> 1
24.33 <armour> 3
24.34 <arms> 35
24.35 <army> 13
24.36 <aromatic> 1
24.37 <arose> 4
24.38 <around> 15
24.39 <arouse> 1
24.40 <aroused> 1
24.41 <arqueros> 1
-----------  cluster 25 is a word count cluster --------
25.0 <arragonite> 1
25.1 <arrange> 1
25.2 <arranged> 6
25.3 <arrangement> 4
25.4 <arrangements> 2
25.5 <arrant> 2
25.6 <arrecife> 2
25.7 <arrest> 1
25.8 <arrested> 4
25.9 <arriero> 4
25.10 <arrival> 23
25.11 <arrive> 4
25.12 <arrived> 63
25.13 <arrives> 1
25.14 <arriving> 10
25.15 <arrow> 8
25.16 <arrows> 4
25.17 <arroyo> 3
25.18 <art> 9
25.19 <artichoke> 3
25.20 <artichokes> 1
25.21 <article> 15
25.22 <articles> 13
25.23 <articulate> 4
25.24 <artifice> 3
25.25 <artifices> 1
25.26 <artificial> 9
25.27 <artificially> 1
25.28 <artillery> 1
25.29 <artists> 1
25.30 <arts> 9
25.31 <arum> 2
25.32 <as> 1657
25.33 <ascend> 13
25.34 <ascended> 18
25.35 <ascending> 9
25.36 <ascension> 10
25.37 <ascent> 18
25.38 <ascertain> 9
25.39 <ascertained> 6
25.40 <ascertaining> 2
25.41 <ascidiae> 2
-----------  cluster 26 is a word count cluster --------
26.0 <ascii> 2
26.1 <ashamed> 8
26.2 <ashes> 6
26.3 <asia> 4
26.4 <asiat> 1
26.5 <asiatic> 3
26.6 <asiatiques> 1
26.7 <ask> 11
26.8 <asked> 37
26.9 <asking> 6
26.10 <asks> 3
26.11 <asleep> 3
26.12 <asparagus> 1
26.13 <aspect> 41
26.14 <aspen> 1
26.15 <asphalax> 2
26.16 <ass> 1
26.17 <assay> 1
26.18 <assayer> 1
26.19 <assemblage> 2
26.20 <assemble> 1
26.21 <assembled> 2
26.22 <assert> 3
26.23 <asserted> 11
26.24 <asserting> 1
26.25 <assertion> 1
26.26 <asserts> 4
26.27 <asses> 1
26.28 <assiduous> 1
26.29 <assign> 1
26.30 <assignable> 1
26.31 <assigned> 6
26.32 <assignment> 1
26.33 <assist> 3
26.34 <assistance> 9
26.35 <assistant> 1
26.36 <assisted> 3
26.37 <assisting> 1
26.38 <assoc> 2
26.39 <associate> 5
26.40 <associated> 15
26.41 <associating> 2
-----------  cluster 27 is a word count cluster --------
27.0 <association> 7
27.1 <associations> 3
27.2 <assume> 5
27.3 <assumed> 7
27.4 <assumes> 1
27.5 <assuming> 2
27.6 <assumption> 2
27.7 <assured> 28
27.8 <assuredly> 6
27.9 <assures> 1
27.10 <astelia> 3
27.11 <asterisk> 1
27.12 <astern> 3
27.13 <astonished> 16
27.14 <astonishing> 11
27.15 <astonishingly> 1
27.16 <astonishment> 16
27.17 <astounded> 2
27.18 <astride> 2
27.19 <astringent> 1
27.20 <astrolabe> 2
27.21 <astronomical> 1
27.22 <at> 1439
27.23 <atacama> 1
27.24 <ate> 6
27.25 <athene> 2
27.26 <athletic> 2
27.27 <atlantic> 19
27.28 <atmosphere> 43
27.29 <atmospheric> 8
27.30 <atoll> 29
27.31 <atollons> 1
27.32 <atolls> 46
27.33 <atom> 2
27.34 <atoms> 1
27.35 <atratus> 1
27.36 <atrocious> 4
27.37 <atrocities> 2
27.38 <attach> 1
27.39 <attached> 18
27.40 <attaching> 1
27.41 <attachment> 3
-----------  cluster 28 is a word count cluster --------
28.0 <attack> 21
28.1 <attacked> 5
28.2 <attacking> 1
28.3 <attacks> 11
28.4 <attagis> 1
28.5 <attain> 1
28.6 <attained> 7
28.7 <attaining> 2
28.8 <attains> 5
28.9 <attempt> 23
28.10 <attempted> 17
28.11 <attempting> 5
28.12 <attempts> 9
28.13 <attend> 2
28.14 <attendance> 1
28.15 <attendants> 3
28.16 <attended> 5
28.17 <attending> 2
28.18 <attention> 29
28.19 <attentively> 4
28.20 <attest> 1
28.21 <attested> 4
28.22 <attesting> 1
28.23 <attire> 1
28.24 <attitude> 1
28.25 <attitudes> 1
28.26 <attmail> 1
28.27 <attract> 3
28.28 <attracted> 2
28.29 <attraction> 2
28.30 <attractions> 1
28.31 <attractive> 5
28.32 <attracts> 1
28.33 <attribute> 9
28.34 <attributed> 10
28.35 <attributes> 1
28.36 <attrition> 2
28.37 <atwater> 1
28.38 <auckland> 1
28.39 <auction> 2
28.40 <audible> 1
28.41 <audience> 1
-----------  cluster 29 is a word count cluster --------
29.0 <audubon> 2
29.1 <aug> 2
29.2 <august> 15
29.3 <auk> 1
29.4 <auks> 1
29.5 <aura> 3
29.6 <austere> 2
29.7 <austerity> 1
29.8 <australes> 1
29.9 <australia> 30
29.10 <australian> 4
29.11 <australians> 2
29.12 <authentically> 1
29.13 <author> 7
29.14 <authoritative> 2
29.15 <authorities> 5
29.16 <authority> 8
29.17 <authors> 9
29.18 <autour> 1
29.19 <autres> 1
29.20 <autumn> 6
29.21 <autumnal> 1
29.22 <auvergne> 1
29.23 <aux> 3
29.24 <ava> 3
29.25 <avail> 1
29.26 <ave> 1
29.27 <avenging> 1
29.28 <avenue> 2
29.29 <avenues> 1
29.30 <average> 18
29.31 <avert> 1
29.32 <avestruz> 2
29.33 <avicularia> 1
29.34 <avoid> 10
29.35 <avoided> 2
29.36 <avoient> 1
29.37 <avons> 1
29.38 <avowedly> 1
29.39 <awa> 2
29.40 <await> 1
29.41 <awake> 2
-----------  cluster 30 is a word count cluster --------
30.0 <awakened> 1
30.1 <aware> 20
30.2 <away> 97
30.3 <awe> 1
30.4 <awful> 7
30.5 <awhile> 1
30.6 <awkward> 4
30.7 <awkwardly> 1
30.8 <awry> 1
30.9 <axe> 3
30.10 <axes> 3
30.11 <axis> 14
30.12 <ay> 2
30.13 <ayant> 1
30.14 <ayres> 57
30.15 <azara> 22
30.16 <azarae> 1
30.17 <azores> 3
30.18 <azucar> 2
30.19 <azure> 1
30.20 <b> 11
30.21 <babel> 1
30.22 <baby> 1
30.23 <bac> 1
30.24 <bachapins> 1
30.25 <bachman> 2
30.26 <back> 72
30.27 <backbone> 2
30.28 <backed> 1
30.29 <background> 1
30.30 <backing> 1
30.31 <backs> 10
30.32 <backward> 1
30.33 <backwards> 17
30.34 <bad> 41
30.35 <bade> 2
30.36 <badge> 1
30.37 <badly> 2
30.38 <badness> 3
30.39 <bag> 4
30.40 <bags> 4
30.41 <bahama> 1
-----------  cluster 31 is a word count cluster --------
31.0 <bahia> 49
31.1 <baited> 3
31.2 <baize> 1
31.3 <bajada> 6
31.4 <baked> 6
31.5 <baker> 1
31.6 <balance> 4
31.7 <balanced> 2
31.8 <balandra> 1
31.9 <balbi> 1
31.10 <balcarce> 1
31.11 <balci> 1
31.12 <bald> 3
31.13 <bales> 1
31.14 <balked> 1
31.15 <ball> 3
31.16 <ballad> 1
31.17 <ballenagh> 1
31.18 <ballenar> 3
31.19 <balloon> 1
31.20 <balls> 20
31.21 <bamboo> 5
31.22 <bamboos> 4
31.23 <banana> 10
31.24 <bananas> 10
31.25 <banc> 1
31.26 <band> 10
31.27 <banda> 16
31.28 <bandage> 1
31.29 <banditti> 2
31.30 <bands> 12
31.31 <banishe> 1
31.32 <banished> 11
31.33 <banishes> 1
31.34 <bank> 26
31.35 <banked> 1
31.36 <bankrupt> 1
31.37 <banks> 55
31.38 <banquet> 1
31.39 <bar> 5
31.40 <barbarian> 1
31.41 <barbarians> 4
-----------  cluster 32 is a word count cluster --------
32.0 <barbarous> 3
32.1 <barbs> 1
32.2 <bare> 33
32.3 <bared> 2
32.4 <barefooted> 1
32.5 <barely> 4
32.6 <barest> 1
32.7 <bark> 17
32.8 <barking> 6
32.9 <barks> 1
32.10 <barley> 3
32.11 <barn> 6
32.12 <barnacles> 2
32.13 <barnevelts> 1
32.14 <barometer> 2
32.15 <barons> 1
32.16 <barracks> 3
32.17 <barre> 1
32.18 <barrel> 1
32.19 <barrels> 1
32.20 <barren> 16
32.21 <barrenness> 1
32.22 <barricaded> 2
32.23 <barrier> 50
32.24 <barriers> 1
32.25 <barrington> 1
32.26 <bars> 2
32.27 <barter> 3
32.28 <barton> 2
32.29 <basa> 1
32.30 <basal> 3
32.31 <basalt> 5
32.32 <basalti> 1
32.33 <basaltic> 13
32.34 <base> 26
32.35 <based> 7
32.36 <bases> 4
32.37 <basin> 11
32.38 <basins> 7
32.39 <basis> 1
32.40 <basket> 4
32.41 <basketful> 1
-----------  cluster 33 is a word count cluster --------
33.0 <basking> 2
33.1 <bass> 1
33.2 <bat> 2
33.3 <bathe> 1
33.4 <bathed> 1
33.5 <bathing> 1
33.6 <baths> 6
33.7 <bathurst> 9
33.8 <batrachian> 1
33.9 <bats> 1
33.10 <battered> 1
33.11 <battery> 1
33.12 <battle> 4
33.13 <battles> 1
33.14 <bay> 63
33.15 <baying> 1
33.16 <baynoe> 1
33.17 <bays> 10
33.18 <bc> 2
33.19 <be> 896
33.20 <bea> 1
33.21 <beach> 51
33.22 <beaches> 3
33.23 <beachheads> 1
33.24 <beads> 3
33.25 <beagle> 89
33.26 <beak> 17
33.27 <beaks> 5
33.28 <beams> 1
33.29 <bean> 2
33.30 <beans> 8
33.31 <bear> 10
33.32 <bearded> 1
33.33 <beardless> 2
33.34 <beards> 4
33.35 <bearing> 9
33.36 <bearings> 1
33.37 <bears> 9
33.38 <beast> 21
33.39 <beasts> 16
33.40 <beat> 3
33.41 <beaten> 12
-----------  cluster 34 is a word count cluster --------
34.0 <beating> 4
34.1 <beatson> 3
34.2 <beaufort> 1
34.3 <beauties> 5
34.4 <beautiful> 61
34.5 <beautifully> 14
34.6 <beauty> 20
34.7 <beaver> 1
34.8 <becalmed> 2
34.9 <became> 49
34.10 <because> 29
34.11 <become> 64
34.12 <becomes> 46
34.13 <becoming> 11
34.14 <bed> 58
34.15 <bedaubed> 2
34.16 <beds> 56
34.17 <bee> 8
34.18 <beech> 12
34.19 <beechey> 5
34.20 <beef> 6
34.21 <beehive> 1
34.22 <been> 771
34.23 <bees> 2
34.24 <beetle> 7
34.25 <beetles> 20
34.26 <before> 203
34.27 <beforehand> 2
34.28 <bega> 1
34.29 <began> 18
34.30 <begged> 5
34.31 <begin> 3
34.32 <beginning> 7
34.33 <begins> 6
34.34 <begun> 2
34.35 <behaved> 3
34.36 <behaving> 1
34.37 <behaviour> 1
34.38 <beheld> 19
34.39 <behind> 34
34.40 <behindhand> 2
34.41 <behold> 15
-----------  cluster 35 is a word count cluster --------
35.0 <beholder> 2
35.1 <beholding> 7
35.2 <behring> 4
35.3 <being> 328
35.4 <beings> 21
35.5 <belief> 10
35.6 <believe> 118
35.7 <believed> 17
35.8 <believes> 9
35.9 <believing> 3
35.10 <bell> 16
35.11 <bellavista> 1
35.12 <bellies> 1
35.13 <bellow> 1
35.14 <bellower> 1
35.15 <bellowing> 2
35.16 <bells> 1
35.17 <belly> 5
35.18 <belong> 18
35.19 <belonged> 21
35.20 <belonging> 27
35.21 <belongs> 11
35.22 <below> 27
35.23 <belt> 4
35.24 <belts> 1
35.25 <bench> 1
35.26 <benches> 1
35.27 <benchuca> 2
35.28 <bend> 1
35.29 <bends> 1
35.30 <beneath> 63
35.31 <benefit> 1
35.32 <benefited> 1
35.33 <benevolent> 1
35.34 <bengal> 1
35.35 <benguela> 1
35.36 <benito> 3
35.37 <bennett> 2
35.38 <bent> 9
35.39 <benumbed> 1
35.40 <berardi> 1
35.41 <berkele> 1
-----------  cluster 36 is a word count cluster --------
36.0 <berkeley> 5
36.1 <berlin> 2
36.2 <bermudas> 1
36.3 <bernantio> 2
36.4 <beroe> 1
36.5 <berquelo> 2
36.6 <berries> 4
36.7 <berry> 3
36.8 <berteroii> 1
36.9 <berthelot> 1
36.10 <beryl> 1
36.11 <berzelius> 1
36.12 <beside> 1
36.13 <besides> 37
36.14 <besieged> 1
36.15 <besmeared> 1
36.16 <bespeak> 5
36.17 <bespeaking> 1
36.18 <bespeaks> 1
36.19 <best> 28
36.20 <bestowed> 1
36.21 <bet> 2
36.22 <betrayed> 4
36.23 <betraying> 1
36.24 <betrays> 1
36.25 <better> 34
36.26 <betting> 1
36.27 <betuloides> 1
36.28 <betwee> 1
36.29 <between> 173
36.30 <beudant> 1
36.31 <beverage> 1
36.32 <beware> 1
36.33 <bewildered> 1
36.34 <beyond> 20
36.35 <bible> 1
36.36 <bibron> 5
36.37 <bidder> 1
36.38 <bidding> 1
36.39 <bids> 1
36.40 <bien> 2
36.41 <bifurcating> 1
-----------  cluster 37 is a word count cluster --------
37.0 <bifurcation> 1
37.1 <big> 1
37.2 <bigger> 2
37.3 <bill> 2
37.4 <billed> 3
37.5 <billing> 1
37.6 <billion> 1
37.7 <billows> 1
37.8 <bills> 4
37.9 <bin> 1
37.10 <binary> 1
37.11 <bind> 2
37.12 <binding> 1
37.13 <bindloes> 1
37.14 <bingley> 1
37.15 <birch> 1
37.16 <bird> 108
37.17 <birds> 167
37.18 <birgos> 4
37.19 <birmingham> 1
37.20 <birth> 2
37.21 <birthplace> 2
37.22 <biscuit> 3
37.23 <biscuits> 1
37.24 <bisecting> 1
37.25 <bisection> 1
37.26 <bishop> 2
37.27 <bishops> 1
37.28 <bit> 8
37.29 <bitch> 1
37.30 <bite> 11
37.31 <biting> 5
37.32 <bitnet> 1
37.33 <bits> 7
37.34 <bitten> 3
37.35 <bitter> 5
37.36 <bitterly> 2
37.37 <bivalves> 1
37.38 <bivouac> 7
37.39 <bivouacked> 10
37.40 <bivouacking> 1
37.41 <bizcacha> 16
-----------  cluster 38 is a word count cluster --------
38.0 <bizcachas> 1
38.1 <black> 99
38.2 <blackberry> 1
38.3 <blackened> 5
38.4 <blacker> 2
38.5 <blackest> 1
38.6 <blackheath> 3
38.7 <blackish> 1
38.8 <blacks> 3
38.9 <blacksmith> 1
38.10 <blacksmiths> 1
38.11 <blackwall> 1
38.12 <bladder> 2
38.13 <bladders> 1
38.14 <blade> 2
38.15 <blades> 2
38.16 <blame> 2
38.17 <blamed> 1
38.18 <blanc> 2
38.19 <blanca> 41
38.20 <blanco> 4
38.21 <blank> 1
38.22 <blanket> 4
38.23 <blankets> 3
38.24 <blas> 2
38.25 <blast> 1
38.26 <blasted> 1
38.27 <blatta> 1
38.28 <blazing> 3
38.29 <bleached> 2
38.30 <bleak> 4
38.31 <bleeding> 2
38.32 <blended> 6
38.33 <blends> 1
38.34 <blessed> 1
38.35 <blew> 3
38.36 <blind> 3
38.37 <blinded> 3
38.38 <blindly> 1
38.39 <blindness> 3
38.40 <bloated> 1
38.41 <block> 6
-----------  cluster 39 is a word count cluster --------
39.0 <blockade> 2
39.1 <blockaded> 1
39.2 <blocks> 14
39.3 <blood> 15
39.4 <blooded> 1
39.5 <bloodhound> 1
39.6 <bloodshed> 1
39.7 <bloodthirsty> 1
39.8 <bloody> 6
39.9 <blossoms> 1
39.10 <blow> 14
39.11 <blowing> 6
39.12 <blown> 15
39.13 <blowpipe> 2
39.14 <blows> 8
39.15 <blubber> 6
39.16 <blue> 51
39.17 <bluish> 1
39.18 <blunt> 2
39.19 <blunted> 2
39.20 <bluntness> 1
39.21 <blushes> 1
39.22 <blustering> 1
39.23 <board> 44
39.24 <boards> 2
39.25 <boars> 1
39.26 <boas> 1
39.27 <boast> 13
39.28 <boasted> 5
39.29 <boastful> 1
39.30 <boasts> 2
39.31 <boat> 53
39.32 <boats> 38
39.33 <bobbing> 1
39.34 <bod> 1
39.35 <bodies> 45
39.36 <body> 83
39.37 <boer> 1
39.38 <bog> 1
39.39 <bogg> 1
39.40 <boil> 2
39.41 <boiled> 8
-----------  cluster 40 is a word count cluster --------
40.0 <boiling> 4
40.1 <bois> 2
40.2 <boisterous> 6
40.3 <bolabola> 3
40.4 <bolas> 18
40.5 <bold> 28
40.6 <bolder> 1
40.7 <boldest> 1
40.8 <boldly> 2
40.9 <boldness> 2
40.10 <bole> 1
40.11 <boles> 1
40.12 <bolivia> 2
40.13 <bolivian> 1
40.14 <bomb> 2
40.15 <bombs> 3
40.16 <bone> 2
40.17 <bones> 50
40.18 <bonfires> 1
40.19 <bonitos> 1
40.20 <bonpland> 1
40.21 <bony> 2
40.22 <booby> 3
40.23 <book> 7
40.24 <books> 6
40.25 <booksellers> 1
40.26 <boomerang> 1
40.27 <boot> 1
40.28 <boots> 2
40.29 <bor> 1
40.30 <bord> 1
40.31 <border> 10
40.32 <bordered> 11
40.33 <bordering> 7
40.34 <borders> 9
40.35 <bore> 8
40.36 <boreali> 1
40.37 <bored> 1
40.38 <born> 6
40.39 <borne> 7
40.40 <borneo> 1
40.41 <borreria> 2
-----------  cluster 41 is a word count cluster --------
41.0 <borrow> 1
41.1 <bory> 1
41.2 <bos> 3
41.3 <bosom> 2
41.4 <boston> 1
41.5 <bot> 1
41.6 <botanic> 2
41.7 <botanical> 2
41.8 <botanist> 3
41.9 <botanists> 2
41.10 <botany> 7
41.11 <both> 150
41.12 <botofogo> 3
41.13 <bottle> 4
41.14 <bottom> 48
41.15 <bottomed> 7
41.16 <bottoms> 7
41.17 <bougainville> 2
41.18 <boughs> 4
41.19 <bought> 10
41.20 <boulder> 4
41.21 <boulders> 15
41.22 <bouleversees> 1
41.23 <boulogne> 1
41.24 <bound> 14
41.25 <boundaries> 3
41.26 <boundary> 4
41.27 <bounde> 1
41.28 <bounded> 14
41.29 <bounding> 2
41.30 <boundless> 2
41.31 <bounds> 2
41.32 <bourbon> 4
41.33 <bow> 8
41.34 <bowed> 1
41.35 <bowels> 2
41.36 <bows> 6
41.37 <box> 4
41.38 <boy> 18
41.39 <boys> 9
41.40 <bracelets> 2
41.41 <brachelytra> 2
-----------  cluster 42 is a word count cluster --------
42.0 <brachiotis> 1
42.1 <brachyptera> 1
42.2 <brackish> 11
42.3 <braggadocio> 1
42.4 <brains> 1
42.5 <brake> 1
42.6 <brakes> 1
42.7 <bramador> 1
42.8 <branc> 1
42.9 <branch> 23
42.10 <branched> 3
42.11 <branches> 37
42.12 <branchiae> 2
42.13 <branchial> 3
42.14 <branching> 8
42.15 <brasiliensis> 3
42.16 <brass> 3
42.17 <bravard> 2
42.18 <brave> 2
42.19 <braying> 1
42.20 <brazil> 30
42.21 <brazilian> 4
42.22 <brazilians> 2
42.23 <brazils> 1
42.24 <breach> 1
42.25 <breached> 4
42.26 <breaches> 2
42.27 <bread> 13
42.28 <breadth> 13
42.29 <break> 17
42.30 <breaker> 1
42.31 <breakers> 15
42.32 <breakfast> 12
42.33 <breakin> 1
42.34 <breaking> 10
42.35 <breaks> 4
42.36 <breakwater> 1
42.37 <breakwaters> 1
42.38 <breast> 10
42.39 <breasted> 2
42.40 <breasts> 3
42.41 <breastwork> 1
-----------  cluster 43 is a word count cluster --------
43.0 <breath> 8
43.1 <breathe> 2
43.2 <breathed> 1
43.3 <breathing> 3
43.4 <breathless> 1
43.5 <breccia> 1
43.6 <bred> 5
43.7 <bree> 1
43.8 <breed> 16
43.9 <breeding> 7
43.10 <breeds> 1
43.11 <breeze> 19
43.12 <breezes> 1
43.13 <brethren> 3
43.14 <brewster> 1
43.15 <bribe> 1
43.16 <bribed> 1
43.17 <brick> 1
43.18 <bricks> 1
43.19 <brickwork> 4
43.20 <bridge> 10
43.21 <bridges> 5
43.22 <bridle> 10
43.23 <brief> 3
43.24 <briefly> 1
43.25 <brig> 1
43.26 <bright> 53
43.27 <brightened> 2
43.28 <brighter> 4
43.29 <brightest> 4
43.30 <brightly> 7
43.31 <brightness> 1
43.32 <brilliancy> 4
43.33 <brilliant> 14
43.34 <brilliantly> 9
43.35 <brine> 8
43.36 <bring> 10
43.37 <bringing> 11
43.38 <brings> 7
43.39 <brink> 2
43.40 <briny> 1
43.41 <brisk> 1
-----------  cluster 44 is an index cluster --------
44.0 <bristle> 45
44.1 <budding> 46
44.2 <burning> 47
44.3 <cables> 48
44.4 <camel> 49
44.5 <capricorn> 50
44.6 <carpacho> 51
44.7 <cat> 52
44.8 <cavities> 53
44.9 <certainly> 54
44.10 <chanuncillo> 55
44.11 <cheek> 56
44.12 <chimie> 57
44.13 <cicadae> 58
44.14 <claims> 59
44.15 <climbed> 60
44.16 <coals> 61
44.17 <collect> 62
44.18 <combustion> 63
44.19 <compact> 64
44.20 <compound> 65
44.21 <condescending> 66
44.22 <congratulate> 67
44.23 <consolidated> 68
44.24 <content> 69
44.25 <conversation> 70
44.26 <coquimbo> 71
44.27 <corrupting> 72
44.28 <cove> 73
44.29 <creaked> 74
44.30 <crocodiles> 75
44.31 <cubes> 76
44.32 <curse> 77
44.33 <damaged> 78
44.34 <dates> 79
44.35 <decide> 80
44.36 <defiance> 81
44.37 <demand> 82
44.38 <deprivation> 83
44.39 <desmodus> 84
44.40 <detritus> 85
44.41 <differ> 86
-----------  cluster 45 is a word count cluster --------
45.0 <bristle> 2
45.1 <bristles> 1
45.2 <brit> 1
45.3 <britain> 2
45.4 <british> 15
45.5 <brittann> 1
45.6 <broad> 60
45.7 <broader> 4
45.8 <broadside> 2
45.9 <broiled> 1
45.10 <broke> 10
45.11 <broken> 73
45.12 <bromelia> 1
45.13 <bromley> 1
45.14 <bronze> 2
45.15 <brook> 3
45.16 <brooks> 4
45.17 <brother> 9
45.18 <brothers> 5
45.19 <brought> 74
45.20 <brow> 4
45.21 <brown> 31
45.22 <browne> 2
45.23 <brownish> 6
45.24 <brows> 1
45.25 <browsed> 1
45.26 <browsing> 3
45.27 <bruce> 1
45.28 <brun> 1
45.29 <brush> 1
45.30 <brushing> 1
45.31 <brushwood> 8
45.32 <brutal> 2
45.33 <bu> 7
45.34 <bubbles> 5
45.35 <bubblin> 1
45.36 <bubbling> 1
45.37 <bucaniers> 4
45.38 <buch> 2
45.39 <buck> 2
45.40 <buckland> 1
45.41 <bud> 1
-----------  cluster 46 is a word count cluster --------
46.0 <budding> 2
46.1 <buds> 6
46.2 <buena> 2
46.3 <buenos> 57
46.4 <buey> 1
46.5 <buffon> 1
46.6 <buffoons> 1
46.7 <bug> 2
46.8 <bugle> 1
46.9 <bugs> 1
46.10 <buil> 1
46.11 <build> 6
46.12 <building> 21
46.13 <buildings> 12
46.14 <builds> 1
46.15 <built> 38
46.16 <bulgaria> 1
46.17 <bulimus> 1
46.18 <bulk> 9
46.19 <bulkeley> 1
46.20 <bulky> 1
46.21 <bull> 9
46.22 <bullet> 2
46.23 <bullets> 1
46.24 <bullock> 13
46.25 <bullocks> 3
46.26 <bulls> 2
46.27 <bunch> 2
46.28 <bundle> 2
46.29 <bundles> 4
46.30 <bunting> 3
46.31 <buoyed> 2
46.32 <burchell> 7
46.33 <burchess> 1
46.34 <burden> 9
46.35 <burdened> 1
46.36 <burdens> 1
46.37 <burial> 5
46.38 <buried> 26
46.39 <buries> 3
46.40 <burn> 3
46.41 <burnet> 2
-----------  cluster 47 is a word count cluster --------
47.0 <burning> 6
47.1 <burnings> 1
47.2 <burnished> 2
47.3 <burnt> 7
47.4 <burrow> 5
47.5 <burrowed> 1
47.6 <burrowing> 3
47.7 <burrows> 13
47.8 <burst> 15
47.9 <bursting> 3
47.10 <bury> 2
47.11 <bush> 11
47.12 <bushby> 14
47.13 <bushe> 1
47.14 <bushes> 43
47.15 <bushy> 1
47.16 <busily> 1
47.17 <business> 8
47.18 <busy> 2
47.19 <but> 983
47.20 <butterflies> 11
47.21 <butterfly> 7
47.22 <button> 13
47.23 <buttons> 1
47.24 <buttresses> 2
47.25 <buy> 6
47.26 <buying> 1
47.27 <buzzard> 10
47.28 <buzzing> 1
47.29 <by> 1635
47.30 <bynoe> 9
47.31 <byron> 3
47.32 <byte> 1
47.33 <c> 3
47.34 <ca> 2
47.35 <cabbage> 1
47.36 <cabbages> 1
47.37 <cabeza> 1
47.38 <cabin> 2
47.39 <cabinet> 1
47.40 <cabinets> 1
47.41 <cable> 2
-----------  cluster 48 is a word count cluster --------
48.0 <cables> 1
48.1 <cachapual> 2
48.2 <cacique> 13
48.3 <caciques> 3
48.4 <cacti> 7
48.5 <cactornis> 4
48.6 <cactus> 11
48.7 <cactuses> 1
48.8 <caffer> 3
48.9 <caffres> 1
48.10 <cage> 1
48.11 <cages> 1
48.12 <calabria> 1
48.13 <calais> 1
48.14 <calandria> 2
48.15 <calcareo> 1
48.16 <calcareous> 20
48.17 <calculate> 2
48.18 <calculated> 2
48.19 <calculates> 1
48.20 <caldcleugh> 4
48.21 <caldeleugh> 2
48.22 <caldrons> 1
48.23 <caledonia> 4
48.24 <calf> 3
48.25 <california> 1
48.26 <call> 26
48.27 <callao> 12
48.28 <calle> 1
48.29 <called> 124
48.30 <calling> 5
48.31 <calls> 2
48.32 <calm> 16
48.33 <calms> 1
48.34 <calodera> 1
48.35 <calosoma> 1
48.36 <calve> 1
48.37 <calves> 1
48.38 <camarhynchus> 2
48.39 <cambridge> 1
48.40 <cambridgeshire> 1
48.41 <came> 78
-----------  cluster 49 is a word count cluster --------
49.0 <camel> 5
49.1 <campana> 2
49.2 <campestris> 2
49.3 <camphor> 1
49.4 <campo> 1
49.5 <campos> 1
49.6 <can> 252
49.7 <canal> 4
49.8 <canals> 1
49.9 <canaries> 1
49.10 <canary> 3
49.11 <cancellaria> 1
49.12 <cancer> 1
49.13 <candour> 2
49.14 <cane> 9
49.15 <canelones> 2
49.16 <canes> 4
49.17 <cangrejales> 1
49.18 <canis> 4
49.19 <cannibal> 2
49.20 <cannibalism> 2
49.21 <cannibals> 3
49.22 <canno> 2
49.23 <cannon> 3
49.24 <cannot> 69
49.25 <canoe> 22
49.26 <canoes> 15
49.27 <cantal> 1
49.28 <canter> 2
49.29 <cantered> 1
49.30 <canvas> 4
49.31 <cap> 4
49.32 <capability> 1
49.33 <capable> 8
49.34 <capacious> 1
49.35 <capacity> 1
49.36 <cape> 64
49.37 <capella> 3
49.38 <capita> 1
49.39 <capital> 21
49.40 <capped> 4
49.41 <capping> 2
-----------  cluster 50 is a word count cluster --------
50.0 <capricorn> 1
50.1 <capsicum> 1
50.2 <capt> 15
50.3 <captain> 118
50.4 <captains> 2
50.5 <captive> 1
50.6 <captives> 1
50.7 <capybara> 10
50.8 <capybaras> 2
50.9 <carabidae> 3
50.10 <caracara> 1
50.11 <caracaras> 1
50.12 <carbonaceous> 1
50.13 <carbonate> 8
50.14 <carboniferous> 1
50.15 <carcase> 1
50.16 <carcass> 12
50.17 <carcasses> 10
50.18 <cardoon> 12
50.19 <cards> 2
50.20 <cardui> 1
50.21 <cardunculus> 1
50.22 <care> 19
50.23 <cared> 2
50.24 <careful> 2
50.25 <carefully> 7
50.26 <carefulness> 1
50.27 <careless> 1
50.28 <cares> 1
50.29 <cargo> 6
50.30 <cargoes> 2
50.31 <caricature> 1
50.32 <carizal> 3
50.33 <carlos> 13
50.34 <carmen> 1
50.35 <carmichael> 2
50.36 <carmine> 1
50.37 <carnage> 2
50.38 <carne> 3
50.39 <carnegie> 4
50.40 <carnivorous> 5
50.41 <carp> 1
-----------  cluster 51 is a word count cluster --------
51.0 <carpacho> 1
51.1 <carpenter> 1
51.2 <carpenters> 2
51.3 <carpet> 4
51.4 <carpeted> 1
51.5 <carrancha> 7
51.6 <carranchas> 6
51.7 <carriage> 4
51.8 <carriages> 1
51.9 <carrie> 1
51.10 <carried> 44
51.11 <carrier> 1
51.12 <carries> 4
51.13 <carrion> 29
51.14 <carry> 15
51.15 <carrying> 24
51.16 <cart> 1
51.17 <carthagena> 1
51.18 <cartridges> 1
51.19 <carved> 1
51.20 <casara> 1
51.21 <casarita> 3
51.22 <cascade> 2
51.23 <cascades> 2
51.24 <case> 130
51.25 <cases> 46
51.26 <cask> 2
51.27 <casma> 1
51.28 <caspian> 1
51.29 <cassada> 1
51.30 <cast> 14
51.31 <caste> 2
51.32 <castle> 3
51.33 <castles> 1
51.34 <castor> 3
51.35 <castrated> 1
51.36 <castro> 9
51.37 <casts> 4
51.38 <casually> 1
51.39 <casuarina> 1
51.40 <casucha> 1
51.41 <casuchas> 3
-----------  cluster 52 is a word count cluster --------
52.0 <cat> 7
52.1 <catacomb> 2
52.2 <catalogue> 1
52.3 <catalonian> 1
52.4 <cataracts> 3
52.5 <catastrophe> 1
52.6 <catastrophes> 1
52.7 <catch> 25
52.8 <catchers> 1
52.9 <catches> 3
52.10 <catching> 10
52.11 <caterpillar> 1
52.12 <caterpillars> 4
52.13 <catgut> 1
52.14 <cathartes> 2
52.15 <cathedral> 5
52.16 <cathedrals> 1
52.17 <catherine> 1
52.18 <catholic> 1
52.19 <cats> 1
52.20 <cattle> 88
52.21 <caucahue> 1
52.22 <caught> 41
52.23 <cauldron> 1
52.24 <cauquenes> 6
52.25 <caus> 1
52.26 <cause> 74
52.27 <caused> 37
52.28 <causeless> 1
52.29 <causes> 17
52.30 <causing> 3
52.31 <caution> 3
52.32 <cautious> 1
52.33 <cautiously> 4
52.34 <cavalry> 2
52.35 <cave> 2
52.36 <cavendish> 1
52.37 <cavern> 1
52.38 <caverns> 2
52.39 <caves> 9
52.40 <cavia> 1
52.41 <cavies> 1
-----------  cluster 53 is a word count cluster --------
53.0 <cavities> 2
53.1 <cavity> 1
53.2 <cavy> 1
53.3 <cawa> 2
53.4 <cayanus> 1
53.5 <caylen> 4
53.6 <cd> 2
53.7 <cease> 6
53.8 <ceased> 12
53.9 <ceaseless> 3
53.10 <ceases> 5
53.11 <ceasing> 2
53.12 <cebrionidae> 1
53.13 <cedar> 2
53.14 <cel> 1
53.15 <celebes> 1
53.16 <celebrated> 7
53.17 <celebrity> 1
53.18 <celery> 1
53.19 <cell> 3
53.20 <cellaria> 1
53.21 <cells> 12
53.22 <cellular> 5
53.23 <cement> 1
53.24 <cemented> 4
53.25 <cemetery> 1
53.26 <cenotherae> 1
53.27 <census> 2
53.28 <cent> 3
53.29 <centra> 2
53.30 <central> 76
53.31 <centre> 26
53.32 <centrifugal> 2
53.33 <centuries> 6
53.34 <century> 9
53.35 <cependent> 1
53.36 <cephalopoda> 1
53.37 <ceremonies> 4
53.38 <ceremony> 3
53.39 <cerro> 1
53.40 <certain> 80
53.41 <certainl> 1
-----------  cluster 54 is a word count cluster --------
54.0 <certainly> 70
54.1 <certainty> 6
54.2 <certhia> 1
54.3 <certhidea> 3
54.4 <cervicem> 1
54.5 <cervus> 2
54.6 <ceryle> 1
54.7 <ces> 4
54.8 <cessation> 1
54.9 <cessing> 1
54.10 <cetaceous> 1
54.11 <chacao> 4
54.12 <chacun> 1
54.13 <chaff> 1
54.14 <chaffers> 2
54.15 <chaffinch> 1
54.16 <chagos> 3
54.17 <chai> 1
54.18 <chain> 33
54.19 <chains> 6
54.20 <chair> 1
54.21 <chairs> 5
54.22 <chalk> 6
54.23 <challenge> 3
54.24 <challenged> 1
54.25 <chama> 1
54.26 <chamber> 1
54.27 <chameleon> 2
54.28 <chamisso> 5
54.29 <champaign> 1
54.30 <chance> 21
54.31 <chanced> 1
54.32 <chancellor> 1
54.33 <chances> 3
54.34 <chandelier> 2
54.35 <chaneral> 1
54.36 <change> 56
54.37 <changed> 25
54.38 <changes> 27
54.39 <changing> 10
54.40 <channel> 53
54.41 <channels> 21
-----------  cluster 55 is a word count cluster --------
55.0 <chanuncillo> 2
55.1 <chaos> 1
55.2 <chap> 3
55.3 <chapel> 4
55.4 <chapels> 1
55.5 <chapter> 27
55.6 <chaquaio> 1
55.7 <character> 80
55.8 <characteristic> 21
55.9 <characterize> 1
55.10 <characterized> 11
55.11 <characterizes> 1
55.12 <characterizing> 1
55.13 <characters> 12
55.14 <charcoal> 4
55.15 <charge> 16
55.16 <charged> 3
55.17 <chariots> 1
55.18 <charles> 19
55.19 <charm> 2
55.20 <charming> 4
55.21 <charmingly> 1
55.22 <charms> 2
55.23 <charqui> 3
55.24 <chart> 1
55.25 <chartered> 1
55.26 <charts> 3
55.27 <chase> 16
55.28 <chased> 2
55.29 <chases> 1
55.30 <chasing> 3
55.31 <chasm> 1
55.32 <chasms> 1
55.33 <chatham> 16
55.34 <cheap> 1
55.35 <cheaper> 1
55.36 <cheapest> 1
55.37 <cheated> 1
55.38 <chec> 1
55.39 <check> 9
55.40 <checked> 10
55.41 <checks> 1
-----------  cluster 56 is a word count cluster --------
56.0 <cheek> 1
56.1 <cheered> 1
56.2 <cheerful> 4
56.3 <cheerfully> 1
56.4 <cheerfulness> 1
56.5 <cheerless> 3
56.6 <cheese> 1
56.7 <chefs> 1
56.8 <chem> 1
56.9 <chemical> 3
56.10 <chemins> 1
56.11 <chepones> 1
56.12 <cherty> 1
56.13 <chest> 4
56.14 <chesterfield> 1
56.15 <chestnut> 2
56.16 <cheucau> 8
56.17 <chevaux> 1
56.18 <chew> 1
56.19 <chewed> 1
56.20 <chichi> 1
56.21 <chickens> 1
56.22 <chiduco> 1
56.23 <chief> 67
56.24 <chiefly> 36
56.25 <chiefs> 10
56.26 <child> 7
56.27 <childhood> 2
56.28 <childish> 1
56.29 <children> 41
56.30 <chile> 110
56.31 <chilean> 1
56.32 <chileno> 6
56.33 <chilenos> 5
56.34 <chilian> 18
56.35 <chilicauquen> 1
56.36 <chilipa> 2
56.37 <chiloe> 56
56.38 <chilotan> 3
56.39 <chilotans> 4
56.40 <chimango> 5
56.41 <chimborazo> 1
-----------  cluster 57 is a word count cluster --------
57.0 <chimie> 1
57.1 <chimney> 1
57.2 <chinas> 1
57.3 <chinchilloides> 1
57.4 <chinese> 3
57.5 <chionis> 1
57.6 <chirp> 2
57.7 <chirping> 2
57.8 <chisel> 1
57.9 <chiselled> 1
57.10 <chitons> 1
57.11 <chlorides> 1
57.12 <chocolate> 1
57.13 <choice> 5
57.14 <choiseul> 3
57.15 <choked> 5
57.16 <cholechel> 3
57.17 <cholera> 1
57.18 <chonchi> 1
57.19 <chonos> 16
57.20 <choose> 7
57.21 <chooses> 4
57.22 <choosing> 1
57.23 <chopped> 2
57.24 <chorus> 3
57.25 <chose> 4
57.26 <chosen> 6
57.27 <christendom> 1
57.28 <christened> 1
57.29 <christian> 7
57.30 <christianity> 4
57.31 <christians> 7
57.32 <christmas> 4
57.33 <chronometrical> 2
57.34 <chrysomelidae> 3
57.35 <chrysopa> 1
57.36 <chuckling> 1
57.37 <chupat> 1
57.38 <church> 12
57.39 <churches> 5
57.40 <chuzo> 4
57.41 <chuzos> 4
-----------  cluster 58 is a word count cluster --------
58.0 <cicadae> 1
58.1 <cicadas> 1
58.2 <cicidae> 1
58.3 <cider> 3
58.4 <cigar> 2
58.5 <cigaritos> 1
58.6 <cigars> 6
58.7 <ciliae> 2
58.8 <cincindela> 1
58.9 <cinders> 2
58.10 <cindery> 2
58.11 <cinereus> 1
58.12 <cinnamon> 1
58.13 <circle> 9
58.14 <circles> 8
58.15 <circuit> 6
58.16 <circuits> 1
58.17 <circular> 11
58.18 <circulating> 1
58.19 <circulation> 2
58.20 <circumambient> 1
58.21 <circumference> 13
58.22 <circumnavigate> 2
58.23 <circumnavigation> 1
58.24 <circumscribed> 3
58.25 <circumstance> 47
58.26 <circumstanced> 2
58.27 <circumstances> 35
58.28 <circus> 1
58.29 <cisterns> 1
58.30 <cities> 3
58.31 <citigrade> 1
58.32 <citizens> 1
58.33 <city> 28
58.34 <civil> 10
58.35 <civility> 3
58.36 <civilization> 13
58.37 <civilized> 20
58.38 <clad> 2
58.39 <cladonia> 1
58.40 <claim> 2
58.41 <claimed> 2
-----------  cluster 59 is a word count cluster --------
59.0 <claims> 1
59.1 <clambered> 1
59.2 <clamour> 1
59.3 <clanking> 1
59.4 <clara> 1
59.5 <clarke> 2
59.6 <clasped> 1
59.7 <class> 16
59.8 <classed> 1
59.9 <classes> 14
59.10 <classic> 1
59.11 <classical> 1
59.12 <classify> 1
59.13 <clausen> 2
59.14 <clavipes> 1
59.15 <claw> 1
59.16 <claws> 11
59.17 <clay> 13
59.18 <clayey> 4
59.19 <clean> 13
59.20 <cleaned> 1
59.21 <cleaner> 1
59.22 <cleaning> 1
59.23 <cleanliness> 1
59.24 <clear> 46
59.25 <cleared> 23
59.26 <clearer> 2
59.27 <clearest> 1
59.28 <clearing> 4
59.29 <clearly> 16
59.30 <clearness> 4
59.31 <cleavage> 2
59.32 <cleft> 1
59.33 <clefts> 1
59.34 <click> 1
59.35 <clicking> 3
59.36 <cliff> 30
59.37 <cliffs> 36
59.38 <clima> 1
59.39 <climate> 96
59.40 <climates> 8
59.41 <climb> 3
-----------  cluster 60 is a word count cluster --------
60.0 <climbed> 3
60.1 <climbing> 8
60.2 <clime> 2
60.3 <climes> 2
60.4 <cling> 1
60.5 <clinging> 2
60.6 <cloak> 1
60.7 <cloaks> 3
60.8 <clock> 10
60.9 <close> 92
60.10 <closed> 12
60.11 <closely> 43
60.12 <closer> 6
60.13 <closing> 4
60.14 <cloth> 9
60.15 <clothe> 2
60.16 <clothed> 16
60.17 <clothes> 16
60.18 <clothing> 4
60.19 <cloths> 3
60.20 <clotted> 1
60.21 <cloud> 11
60.22 <clouded> 6
60.23 <cloudless> 9
60.24 <clouds> 38
60.25 <cloudy> 3
60.26 <clove> 1
60.27 <clover> 7
60.28 <clubs> 2
60.29 <clump> 3
60.30 <clumps> 1
60.31 <clumsily> 2
60.32 <clumsiness> 1
60.33 <clumsy> 3
60.34 <cluster> 2
60.35 <clusters> 1
60.36 <clytia> 2
60.37 <cmu> 2
60.38 <co> 3
60.39 <coach> 2
60.40 <coal> 3
60.41 <coalesced> 1
-----------  cluster 61 is a word count cluster --------
61.0 <coals> 1
61.1 <coarse> 22
61.2 <coarsely> 2
61.3 <coarser> 2
61.4 <coast> 244
61.5 <coasts> 17
61.6 <coat> 2
61.7 <coated> 4
61.8 <coating> 4
61.9 <coatings> 1
61.10 <coats> 2
61.11 <cochlogena> 1
61.12 <cochrane> 2
61.13 <cock> 6
61.14 <cockatoo> 3
61.15 <cocked> 2
61.16 <cockroaches> 1
61.17 <cocoa> 32
61.18 <cocoon> 1
61.19 <cocos> 2
61.20 <codes> 1
61.21 <coeval> 1
61.22 <coextensive> 1
61.23 <coffee> 4
61.24 <coffin> 1
61.25 <coil> 2
61.26 <coiled> 1
61.27 <coincidence> 8
61.28 <coincidences> 2
61.29 <coincides> 1
61.30 <coins> 1
61.31 <coinstantaneous> 1
61.32 <coinstantaneously> 1
61.33 <cold> 38
61.34 <colder> 6
61.35 <coldest> 1
61.36 <coldness> 1
61.37 <coleoptera> 5
61.38 <colias> 2
61.39 <colla> 1
61.40 <collapsed> 3
61.41 <collar> 1
-----------  cluster 62 is a word count cluster --------
62.0 <collect> 13
62.1 <collected> 33
62.2 <collecting> 9
62.3 <collection> 14
62.4 <collections> 5
62.5 <collector> 2
62.6 <collectors> 1
62.7 <collects> 1
62.8 <college> 2
62.9 <collnet> 1
62.10 <collnett> 1
62.11 <colnett> 1
62.12 <colonel> 2
62.13 <colonia> 7
62.14 <colonies> 4
62.15 <colonist> 1
62.16 <colonists> 11
62.17 <colonize> 1
62.18 <colonized> 2
62.19 <colony> 13
62.20 <color> 1
62.21 <colorado> 22
62.22 <colored> 1
62.23 <colossal> 1
62.24 <colour> 74
62.25 <coloured> 50
62.26 <colouring> 3
62.27 <colourless> 2
62.28 <colours> 23
62.29 <colt> 3
62.30 <colts> 1
62.31 <columbus> 1
62.32 <column> 2
62.33 <columnar> 4
62.34 <columns> 7
62.35 <colymbetes> 2
62.36 <com> 2
62.37 <combed> 1
62.38 <combination> 4
62.39 <combine> 2
62.40 <combined> 4
62.41 <combs> 2
-----------  cluster 63 is a word count cluster --------
63.0 <combustion> 1
63.1 <come> 58
63.2 <comes> 23
63.3 <comfort> 7
63.4 <comfortable> 10
63.5 <comfortably> 4
63.6 <comforted> 1
63.7 <comforts> 4
63.8 <comical> 2
63.9 <coming> 23
63.10 <command> 10
63.11 <commandant> 9
63.12 <commanded> 5
63.13 <commander> 1
63.14 <commanding> 1
63.15 <comme> 2
63.16 <commemorate> 1
63.17 <commemoration> 1
63.18 <commence> 3
63.19 <commenced> 23
63.20 <commencement> 2
63.21 <commences> 8
63.22 <comment> 1
63.23 <commerce> 3
63.24 <commission> 1
63.25 <commissioners> 2
63.26 <commit> 2
63.27 <commits> 1
63.28 <committed> 6
63.29 <commixta> 1
63.30 <commo> 1
63.31 <commodore> 1
63.32 <common> 193
63.33 <commonest> 9
63.34 <commonl> 1
63.35 <commonly> 16
63.36 <commotions> 1
63.37 <communicate> 3
63.38 <communicates> 1
63.39 <communication> 11
63.40 <communications> 1
63.41 <community> 2
-----------  cluster 64 is a word count cluster --------
64.0 <compact> 8
64.1 <companion> 12
64.2 <companions> 22
64.3 <company> 11
64.4 <comparable> 4
64.5 <comparative> 7
64.6 <comparatively> 8
64.7 <compare> 5
64.8 <compared> 51
64.9 <compares> 2
64.10 <comparing> 6
64.11 <comparison> 9
64.12 <compartments> 2
64.13 <compass> 8
64.14 <compassion> 3
64.15 <compel> 1
64.16 <compelled> 13
64.17 <compelling> 1
64.18 <compels> 1
64.19 <compensation> 1
64.20 <complain> 2
64.21 <complained> 4
64.22 <complaining> 1
64.23 <complaints> 2
64.24 <complanata> 1
64.25 <complete> 23
64.26 <completed> 5
64.27 <completel> 1
64.28 <completely> 29
64.29 <completes> 1
64.30 <complex> 2
64.31 <complexion> 3
64.32 <complexions> 2
64.33 <complicated> 8
64.34 <compliment> 2
64.35 <compose> 5
64.36 <composed> 42
64.37 <composes> 1
64.38 <composing> 2
64.39 <compositae> 4
64.40 <composition> 2
64.41 <composure> 1
-----------  cluster 65 is a word count cluster --------
65.0 <compound> 6
65.1 <comprehend> 4
65.2 <comprehensible> 1
65.3 <compressed> 4
65.4 <compression> 1
65.5 <comprise> 1
65.6 <comptes> 1
65.7 <compuserve> 1
65.8 <computation> 1
65.9 <computer> 4
65.10 <computerized> 1
65.11 <computers> 1
65.12 <con> 3
65.13 <concave> 1
65.14 <conceal> 5
65.15 <concealed> 17
65.16 <concealing> 1
65.17 <concealment> 2
65.18 <concebida> 1
65.19 <conceive> 8
65.20 <conceived> 2
65.21 <conceives> 1
65.22 <concentrated> 1
65.23 <concepcion> 24
65.24 <conception> 2
65.25 <concerned> 7
65.26 <concerning> 10
65.27 <concert> 1
65.28 <concerted> 1
65.29 <conchalee> 2
65.30 <conchas> 1
65.31 <conchological> 3
65.32 <conclude> 11
65.33 <concluded> 3
65.34 <conclusion> 15
65.35 <conclusions> 1
65.36 <conclusive> 1
65.37 <concretions> 1
65.38 <concurrent> 1
65.39 <condense> 2
65.40 <condensed> 3
65.41 <condescend> 1
-----------  cluster 66 is a word count cluster --------
66.0 <condescending> 1
66.1 <condition> 29
66.2 <conditions> 11
66.3 <condor> 14
66.4 <condors> 12
66.5 <conduct> 10
66.6 <conducted> 6
66.7 <conduits> 1
66.8 <cone> 5
66.9 <conejos> 1
66.10 <cones> 6
66.11 <confer> 1
66.12 <confervae> 8
66.13 <confess> 8
66.14 <confessed> 2
66.15 <confidence> 4
66.16 <confident> 2
66.17 <confidential> 1
66.18 <confidently> 1
66.19 <configuration> 1
66.20 <confine> 2
66.21 <confined> 35
66.22 <confines> 1
66.23 <confining> 2
66.24 <confirmation> 1
66.25 <confirmed> 3
66.26 <confirming> 1
66.27 <confiscate> 1
66.28 <confiscation> 1
66.29 <conflagrations> 1
66.30 <conflict> 1
66.31 <conforming> 1
66.32 <conformity> 1
66.33 <confounded> 2
66.34 <confounding> 1
66.35 <confused> 3
66.36 <congealed> 3
66.37 <congelation> 3
66.38 <congeners> 2
66.39 <congenial> 2
66.40 <conglomerate> 10
66.41 <congo> 1
-----------  cluster 67 is a word count cluster --------
67.0 <congratulate> 1
67.1 <congregate> 1
67.2 <congregated> 2
67.3 <conica> 1
67.4 <conical> 16
67.5 <conjecture> 6
67.6 <conjectured> 1
67.7 <conjuring> 1
67.8 <connect> 4
67.9 <connected> 20
67.10 <connecting> 1
67.11 <connection> 11
67.12 <connects> 2
67.13 <connexion> 1
67.14 <conquered> 3
67.15 <conquering> 1
67.16 <conquerors> 2
67.17 <conquest> 1
67.18 <conscious> 3
67.19 <consciousness> 1
67.20 <consecrated> 1
67.21 <consent> 2
67.22 <consequence> 52
67.23 <consequences> 1
67.24 <consequent> 9
67.25 <consequential> 2
67.26 <consequently> 14
67.27 <conservative> 1
67.28 <consider> 23
67.29 <considerable> 55
67.30 <considerably> 9
67.31 <consideration> 6
67.32 <considerations> 1
67.33 <considered> 54
67.34 <considering> 25
67.35 <considers> 4
67.36 <consist> 14
67.37 <consisted> 24
67.38 <consisting> 6
67.39 <consists> 37
67.40 <consolation> 1
67.41 <consolidate> 1
-----------  cluster 68 is a word count cluster --------
68.0 <consolidated> 3
68.1 <consonant> 1
68.2 <consort> 1
68.3 <conspicuous> 8
68.4 <constable> 2
68.5 <constables> 2
68.6 <constant> 22
68.7 <constantly> 26
68.8 <constellations> 1
68.9 <constituted> 1
68.10 <constituting> 1
68.11 <constitution> 5
68.12 <constitutional> 2
68.13 <construct> 2
68.14 <constructed> 7
68.15 <constructing> 1
68.16 <construction> 1
68.17 <consul> 2
68.18 <consultation> 2
68.19 <consulted> 1
68.20 <consume> 2
68.21 <consumed> 6
68.22 <consummate> 1
68.23 <consumption> 2
68.24 <contact> 4
68.25 <contacting> 1
68.26 <contagion> 1
68.27 <contagious> 1
68.28 <contain> 17
68.29 <contained> 17
68.30 <containing> 19
68.31 <contains> 14
68.32 <contamination> 2
68.33 <contemplation> 1
68.34 <contemporaneous> 1
68.35 <contemporaneously> 2
68.36 <contemporaneousness> 1
68.37 <contemporaries> 1
68.38 <contemptible> 1
68.39 <contemptuous> 1
68.40 <conten> 1
68.41 <contending> 1
-----------  cluster 69 is a word count cluster --------
69.0 <content> 1
69.1 <contented> 3
69.2 <contentment> 1
69.3 <contents> 2
69.4 <contest> 2
69.5 <contested> 1
69.6 <continent> 46
69.7 <continents> 9
69.8 <continual> 1
69.9 <continually> 8
69.10 <continuance> 1
69.11 <continuation> 1
69.12 <continue> 5
69.13 <continued> 46
69.14 <continues> 4
69.15 <continuous> 5
69.16 <continuously> 1
69.17 <contract> 3
69.18 <contracted> 2
69.19 <contraction> 3
69.20 <contractors> 1
69.21 <contracts> 3
69.22 <contradiction> 1
69.23 <contradictory> 1
69.24 <contradistinction> 1
69.25 <contrary> 5
69.26 <contrast> 13
69.27 <contrasted> 13
69.28 <contrees> 1
69.29 <contributed> 1
69.30 <contribution> 2
69.31 <contributions> 1
69.32 <contrivance> 2
69.33 <contrive> 2
69.34 <contrived> 6
69.35 <controverted> 1
69.36 <conurus> 1
69.37 <convened> 2
69.38 <convenience> 1
69.39 <convenient> 2
69.40 <convents> 1
69.41 <converged> 1
-----------  cluster 70 is a word count cluster --------
70.0 <conversation> 14
70.1 <conversational> 1
70.2 <converse> 2
70.3 <conversed> 4
70.4 <conversion> 3
70.5 <converted> 17
70.6 <converting> 1
70.7 <convex> 1
70.8 <convey> 7
70.9 <conveyed> 2
70.10 <conveys> 2
70.11 <convict> 5
70.12 <convicted> 1
70.13 <conviction> 4
70.14 <convicts> 9
70.15 <convince> 1
70.16 <convinced> 8
70.17 <convinces> 1
70.18 <convincing> 1
70.19 <convolvulus> 1
70.20 <convulsed> 1
70.21 <convulsion> 4
70.22 <cooing> 1
70.23 <cook> 19
70.24 <cooked> 12
70.25 <cooking> 2
70.26 <cool> 14
70.27 <cooled> 3
70.28 <cooling> 1
70.29 <coolly> 1
70.30 <coolness> 2
70.31 <coot> 1
70.32 <cophias> 1
70.33 <copiapo> 20
70.34 <copied> 1
70.35 <copies> 3
70.36 <coping> 1
70.37 <copper> 10
70.38 <coppery> 2
70.39 <copy> 6
70.40 <copyright> 8
70.41 <coquille> 3
-----------  cluster 71 is a word count cluster --------
71.0 <coquimbo> 22
71.1 <coral> 67
71.2 <coralline> 4
71.3 <corallines> 4
71.4 <corals> 44
71.5 <corcovado> 10
71.6 <cord> 1
71.7 <cordial> 6
71.8 <cordiality> 1
71.9 <cordillera> 106
71.10 <corfield> 3
71.11 <coriaceous> 1
71.12 <cork> 1
71.13 <cormoran> 1
71.14 <cormorant> 2
71.15 <cormorants> 2
71.16 <corn> 22
71.17 <corner> 9
71.18 <corners> 4
71.19 <cornish> 1
71.20 <cornwall> 3
71.21 <corporeal> 2
71.22 <corps> 1
71.23 <corpse> 1
71.24 <corral> 15
71.25 <corrales> 1
71.26 <corrals> 1
71.27 <correct> 10
71.28 <corrected> 2
71.29 <correctness> 2
71.30 <correndera> 1
71.31 <correspond> 1
71.32 <corresponded> 1
71.33 <correspondence> 6
71.34 <corresponding> 13
71.35 <corrientes> 3
71.36 <corrobery> 1
71.37 <corroborate> 1
71.38 <corroborated> 1
71.39 <corroded> 3
71.40 <corroding> 1
71.41 <corrupt> 1
-----------  cluster 72 is a word count cluster --------
72.0 <corrupting> 1
72.1 <corruption> 1
72.2 <corunda> 1
72.3 <corynetes> 1
72.4 <cosa> 1
72.5 <coseguina> 5
72.6 <cost> 13
72.7 <costal> 1
72.8 <costs> 2
72.9 <costume> 3
72.10 <cottage> 5
72.11 <cottager> 1
72.12 <cottagers> 1
72.13 <cottages> 14
72.14 <cotton> 5
72.15 <coughed> 1
72.16 <could> 245
72.17 <council> 2
72.18 <count> 4
72.19 <counted> 6
72.20 <countenance> 3
72.21 <countenances> 4
72.22 <counterbalance> 2
72.23 <counterbalanced> 1
72.24 <counterpart> 2
72.25 <counting> 2
72.26 <countless> 9
72.27 <countries> 55
72.28 <country> 338
72.29 <countryman> 1
72.30 <countrymen> 13
72.31 <countryrmen> 1
72.32 <couple> 7
72.33 <courage> 2
72.34 <courier> 1
72.35 <course> 104
72.36 <courses> 2
72.37 <court> 3
72.38 <courtesy> 1
72.39 <courtyard> 6
72.40 <courtyards> 2
72.41 <couthouy> 1
-----------  cluster 73 is a word count cluster --------
73.0 <cove> 23
73.1 <cover> 8
73.2 <covered> 126
73.3 <covering> 15
73.4 <covers> 9
73.5 <covertly> 1
73.6 <coves> 1
73.7 <coveys> 1
73.8 <cow> 18
73.9 <coward> 1
73.10 <cowardice> 1
73.11 <cowardly> 2
73.12 <cowley> 1
73.13 <cows> 9
73.14 <cox> 1
73.15 <coxswain> 1
73.16 <coypus> 1
73.17 <crab> 13
73.18 <crabbed> 1
73.19 <crabberies> 1
73.20 <crabs> 14
73.21 <crack> 1
73.22 <cracking> 1
73.23 <crackled> 1
73.24 <craft> 1
73.25 <crafty> 3
73.26 <cramp> 2
73.27 <cranberry> 1
73.28 <crancrivora> 1
73.29 <cranes> 1
73.30 <crash> 2
73.31 <crater> 11
73.32 <crateriform> 2
73.33 <craters> 17
73.34 <craving> 1
73.35 <craw> 1
73.36 <crawl> 13
73.37 <crawled> 11
73.38 <crawling> 15
73.39 <crawls> 2
73.40 <craws> 1
73.41 <cray> 1
-----------  cluster 74 is a word count cluster --------
74.0 <creaked> 1
74.1 <cream> 1
74.2 <creases> 1
74.3 <create> 5
74.4 <created> 12
74.5 <creations> 1
74.6 <creative> 2
74.7 <creature> 6
74.8 <creatures> 17
74.9 <credibility> 1
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74.17 <creeks> 3
74.18 <creeper> 5
74.19 <creepers> 6
74.20 <creeping> 3
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74.22 <crept> 1
74.23 <crescent> 1
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74.25 <crests> 3
74.26 <crevice> 5
74.27 <crevices> 4
74.28 <crew> 8
74.29 <cricket> 2
74.30 <crickets> 2
74.31 <cried> 13
74.32 <cries> 12
74.33 <crime> 2
74.34 <crimes> 4
74.35 <criminals> 1
74.36 <crisia> 2
74.37 <cristatus> 1
74.38 <cristiandad> 2
74.39 <cristianos> 1
74.40 <criterion> 2
74.41 <crocodile> 2
-----------  cluster 75 is a word count cluster --------
75.0 <crocodiles> 1
75.1 <crois> 1
75.2 <crooked> 2
75.3 <crop> 1
75.4 <crops> 4
75.5 <cros> 1
75.6 <cross> 27
75.7 <crosse> 1
75.8 <crossed> 59
75.9 <crosses> 4
75.10 <crossing> 16
75.11 <crowbar> 1
75.12 <crowd> 3
75.13 <crowded> 4
75.14 <crown> 9
75.15 <crowned> 4
75.16 <crowns> 1
75.17 <crowquill> 1
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75.19 <cruel> 4
75.20 <cruelties> 1
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75.22 <cruenta> 1
75.23 <cruises> 1
75.24 <crumbling> 4
75.25 <crupper> 1
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75.27 <crushed> 4
75.28 <crust> 13
75.29 <crustacea> 10
75.30 <crustaceous> 2
75.31 <cruz> 25
75.32 <cry> 23
75.33 <crying> 4
75.34 <cryptogamic> 7
75.35 <crystal> 1
75.36 <crystalline> 2
75.37 <crystallization> 1
75.38 <crystallized> 10
75.39 <crystals> 5
75.40 <cso> 1
75.41 <ctenomys> 4
-----------  cluster 76 is a word count cluster --------
76.0 <cubes> 2
76.1 <cucao> 10
76.2 <cuchilla> 1
76.3 <cuckoo> 11
76.4 <cuckoos> 1
76.5 <cucumbers> 1
76.6 <cudico> 2
76.7 <cuentas> 1
76.8 <cuero> 3
76.9 <cueva> 1
76.10 <cufre> 1
76.11 <cul> 1
76.12 <culpeu> 2
76.13 <cultivate> 1
76.14 <cultivated> 36
76.15 <cultivating> 2
76.16 <cultivation> 8
76.17 <culture> 1
76.18 <cumberland> 2
76.19 <cumbre> 2
76.20 <cuming> 6
76.21 <cummin> 1
76.22 <cumuli> 2
76.23 <cunicularia> 2
76.24 <cunicularius> 1
76.25 <cunning> 3
76.26 <cup> 2
76.27 <cups> 1
76.28 <cured> 1
76.29 <curiosities> 1
76.30 <curiosity> 12
76.31 <curious> 100
76.32 <curiously> 4
76.33 <curl> 3
76.34 <curled> 2
76.35 <curlew> 1
76.36 <curling> 6
76.37 <curls> 1
76.38 <currants> 1
76.39 <current> 17
76.40 <currents> 21
76.41 <curries> 1
-----------  cluster 77 is a word count cluster --------
77.0 <curse> 3
77.1 <cursed> 1
77.2 <curvature> 4
77.3 <curve> 2
77.4 <curved> 9
77.5 <curves> 1
77.6 <curvidens> 1
77.7 <custom> 11
77.8 <customary> 1
77.9 <customs> 2
77.10 <cut> 49
77.11 <cutaneous> 2
77.12 <cutlass> 1
77.13 <cuts> 1
77.14 <cutter> 1
77.15 <cutters> 1
77.16 <cutthroat> 1
77.17 <cutting> 8
77.18 <cuttle> 7
77.19 <cuvier> 8
77.20 <cycle> 1
77.21 <cyclopean> 2
77.22 <cylinder> 1
77.23 <cylinders> 1
77.24 <cylindrical> 10
77.25 <cymindis> 1
77.26 <cynara> 2
77.27 <cynucus> 1
77.28 <cyperus> 1
77.29 <cypress> 1
77.30 <cyttaria> 1
77.31 <d> 28
77.32 <dacelo> 1
77.33 <dadass> 1
77.34 <dagger> 1
77.35 <daggers> 1
77.36 <dail> 1
77.37 <daily> 10
77.38 <dairy> 1
77.39 <daisy> 1
77.40 <dale> 2
77.41 <damage> 2
-----------  cluster 78 is a word count cluster --------
78.0 <damaged> 1
78.1 <damages> 5
78.2 <dame> 1
78.3 <dammed> 1
78.4 <damned> 1
78.5 <damp> 36
78.6 <damper> 4
78.7 <dampest> 1
78.8 <dampier> 1
78.9 <dampness> 1
78.10 <dance> 6
78.11 <danced> 2
78.12 <dances> 1
78.13 <dancing> 6
78.14 <dandy> 1
78.15 <danger> 17
78.16 <dangerous> 15
78.17 <dangers> 3
78.18 <daniell> 1
78.19 <dans> 3
78.20 <dapibus> 1
78.21 <dare> 4
78.22 <dared> 2
78.23 <dark> 72
78.24 <darken> 1
78.25 <darkened> 1
78.26 <darker> 2
78.27 <darkest> 1
78.28 <darkness> 3
78.29 <darted> 5
78.30 <darting> 2
78.31 <darts> 1
78.32 <darwin> 7
78.33 <darwinii> 4
78.34 <dash> 4
78.35 <dashed> 6
78.36 <dashes> 2
78.37 <dashing> 2
78.38 <dasypus> 1
78.39 <data> 2
78.40 <date> 12
78.41 <dated> 1
-----------  cluster 79 is a word count cluster --------
79.0 <dates> 3
79.1 <daubeny> 1
79.2 <daughter> 1
79.3 <daughters> 2
79.4 <david> 1
79.5 <davies> 5
79.6 <day> 325
79.7 <daybreak> 1
79.8 <daylight> 4
79.9 <days> 139
79.10 <daytime> 2
79.11 <de> 65
79.12 <dea> 1
79.13 <dead> 56
79.14 <deadly> 3
79.15 <deadwood> 1
79.16 <deaf> 1
79.17 <deal> 10
79.18 <dear> 2
79.19 <dearer> 3
79.20 <dearest> 2
79.21 <dearly> 2
79.22 <dease> 1
79.23 <death> 37
79.24 <deaths> 1
79.25 <debacle> 1
79.26 <debasement> 1
79.27 <debris> 1
79.28 <debt> 4
79.29 <dec> 1
79.30 <decamped> 1
79.31 <decapitated> 1
79.32 <decay> 9
79.33 <decayed> 8
79.34 <decaying> 3
79.35 <deceit> 1
79.36 <deceive> 1
79.37 <deceived> 1
79.38 <december> 25
79.39 <decent> 3
79.40 <deception> 1
79.41 <deceptive> 3
-----------  cluster 80 is a word count cluster --------
80.0 <decide> 2
80.1 <decided> 4
80.2 <decidedly> 4
80.3 <deciduous> 1
80.4 <decision> 1
80.5 <deck> 2
80.6 <decked> 1
80.7 <declaration> 1
80.8 <declared> 7
80.9 <declaring> 3
80.10 <declined> 1
80.11 <declining> 1
80.12 <decompose> 1
80.13 <decomposed> 1
80.14 <decomposing> 1
80.15 <decomposition> 8
80.16 <decrease> 5
80.17 <decreased> 3
80.18 <decreasing> 2
80.19 <deduced> 2
80.20 <deducible> 1
80.21 <deductible> 1
80.22 <deduction> 1
80.23 <dee> 1
80.24 <deed> 1
80.25 <deeds> 1
80.26 <deep> 87
80.27 <deepening> 1
80.28 <deepens> 1
80.29 <deeper> 4
80.30 <deepest> 7
80.31 <deeply> 17
80.32 <deer> 24
80.33 <defeated> 1
80.34 <defect> 2
80.35 <defective> 1
80.36 <defects> 2
80.37 <defence> 11
80.38 <defenceless> 1
80.39 <defend> 1
80.40 <defended> 2
80.41 <defenders> 3
-----------  cluster 81 is a word count cluster --------
81.0 <defiance> 4
81.1 <deficiency> 1
81.2 <deficient> 2
81.3 <defied> 2
81.4 <defiles> 1
81.5 <defined> 9
81.6 <defining> 1
81.7 <definite> 5
81.8 <deflected> 1
81.9 <deflecting> 1
81.10 <defraying> 1
81.11 <defy> 4
81.12 <degenerated> 1
81.13 <degradation> 2
81.14 <degraded> 5
81.15 <degree> 56
81.16 <degrees> 24
81.17 <degs> 117
81.18 <deigning> 1
81.19 <deinornis> 2
81.20 <del> 109
81.21 <delay> 1
81.22 <delayed> 5
81.23 <delays> 2
81.24 <delete> 1
81.25 <deleterious> 1
81.26 <deliberately> 1
81.27 <delicacies> 1
81.28 <delicacy> 1
81.29 <delicate> 13
81.30 <delicately> 5
81.31 <delicious> 6
81.32 <deliciously> 2
81.33 <delight> 11
81.34 <delighted> 8
81.35 <delightful> 15
81.36 <delightfully> 4
81.37 <delights> 1
81.38 <deliquescent> 2
81.39 <delivered> 3
81.40 <delivering> 1
81.41 <deluges> 4
-----------  cluster 82 is a word count cluster --------
82.0 <demand> 2
82.1 <demanded> 3
82.2 <demands> 1
82.3 <demarlii> 1
82.4 <demersa> 1
82.5 <demi> 2
82.6 <democratic> 1
82.7 <demolished> 2
82.8 <demoniacs> 1
82.9 <demonstrated> 1
82.10 <demonstration> 2
82.11 <demoralized> 1
82.12 <denizens> 1
82.13 <denmark> 3
82.14 <denomination> 1
82.15 <dense> 5
82.16 <densely> 1
82.17 <densest> 2
82.18 <dent> 1
82.19 <denudation> 2
82.20 <denuded> 1
82.21 <denuding> 1
82.22 <deny> 1
82.23 <deos> 1
82.24 <departure> 1
82.25 <depend> 11
82.26 <depended> 2
82.27 <dependencies> 1
82.28 <dependent> 3
82.29 <depends> 8
82.30 <deplorable> 1
82.31 <deportation> 1
82.32 <deposer> 1
82.33 <deposit> 15
82.34 <deposited> 22
82.35 <depositing> 3
82.36 <deposition> 2
82.37 <deposits> 16
82.38 <depraved> 1
82.39 <depressed> 2
82.40 <depression> 1
82.41 <depressions> 6
-----------  cluster 83 is a word count cluster --------
83.0 <deprivation> 1
83.1 <deprived> 1
83.2 <depth> 52
83.3 <depths> 12
83.4 <der> 4
83.5 <deranged> 2
83.6 <derive> 3
83.7 <derived> 14
83.8 <derives> 1
83.9 <dermestes> 1
83.10 <derwent> 1
83.11 <des> 9
83.12 <desc> 1
83.13 <descen> 1
83.14 <descend> 7
83.15 <descendants> 3
83.16 <descended> 18
83.17 <descendin> 1
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83.19 <descends> 5
83.20 <descent> 15
83.21 <describe> 16
83.22 <described> 74
83.23 <describes> 3
83.24 <describing> 4
83.25 <descrip> 1
83.26 <description> 14
83.27 <descriptions> 7
83.28 <descripts> 1
83.29 <desert> 41
83.30 <deserted> 9
83.31 <deserting> 1
83.32 <deserts> 11
83.33 <deserve> 3
83.34 <deserved> 1
83.35 <deserves> 12
83.36 <deserving> 4
83.37 <design> 1
83.38 <designates> 1
83.39 <designed> 1
83.40 <desire> 21
83.41 <desired> 1
-----------  cluster 84 is a word count cluster --------
84.0 <desmodus> 1
84.1 <desolate> 22
84.2 <desolated> 2
84.3 <desolation> 8
84.4 <despair> 2
84.5 <despatched> 1
84.6 <desperate> 3
84.7 <desperately> 1
84.8 <despise> 1
84.9 <despite> 1
84.10 <despoblado> 5
84.11 <despotic> 1
84.12 <dessert> 1
84.13 <desserts> 1
84.14 <destination> 1
84.15 <destined> 2
84.16 <destiny> 1
84.17 <destitute> 8
84.18 <destro> 1
84.19 <destroy> 7
84.20 <destroyed> 16
84.21 <destroyer> 2
84.22 <destroying> 3
84.23 <destroys> 7
84.24 <destruction> 13
84.25 <destructive> 4
84.26 <detach> 1
84.27 <detached> 3
84.28 <detail> 8
84.29 <detailed> 4
84.30 <details> 14
84.31 <detained> 6
84.32 <detect> 2
84.33 <detection> 3
84.34 <detects> 1
84.35 <deteriorate> 1
84.36 <determination> 2
84.37 <determine> 3
84.38 <determined> 31
84.39 <determining> 1
84.40 <detestable> 2
84.41 <detour> 2
-----------  cluster 85 is a word count cluster --------
85.0 <detritus> 7
85.1 <deum> 1
85.2 <devastation> 1
85.3 <developed> 5
85.4 <development> 1
85.5 <deviated> 1
85.6 <device> 1
85.7 <devil> 4
85.8 <devils> 1
85.9 <devoid> 2
85.10 <devonian> 1
85.11 <devonport> 1
85.12 <devote> 1
85.13 <devotion> 1
85.14 <devour> 2
85.15 <devoured> 2
85.16 <devourers> 2
85.17 <devouring> 4
85.18 <devoutly> 1
85.19 <dew> 12
85.20 <dexterity> 5
85.21 <dexterous> 3
85.22 <dexterously> 1
85.23 <di> 1
85.24 <diabolicus> 1
85.25 <diagonal> 1
85.26 <dialects> 1
85.27 <diameter> 27
85.28 <dianaea> 1
85.29 <diaphragm> 1
85.30 <dictator> 2
85.31 <did> 117
85.32 <didelphis> 1
85.33 <die> 4
85.34 <died> 12
85.35 <dieffenbach> 3
85.36 <diego> 1
85.37 <dieman> 1
85.38 <diemen> 12
85.39 <diernan> 1
85.40 <dies> 3
85.41 <diet> 4
-----------  cluster 86 is a word count cluster --------
86.0 <differ> 11
86.1 <differed> 2
86.2 <difference> 49
86.3 <differences> 2
86.4 <different> 159
86.5 <differently> 9
86.6 <differing> 5
86.7 <differs> 5
86.8 <difficult> 44
86.9 <difficulties> 3
86.10 <difficulty> 55
86.11 <diffusion> 1
86.12 <dig> 3
86.13 <diges> 1
86.14 <digester> 1
86.15 <digestio> 1
86.16 <digging> 7
86.17 <digitated> 1
86.18 <digitatus> 1
86.19 <dignified> 2
86.20 <dignity> 2
86.21 <diligently> 1
86.22 <dim> 2
86.23 <dimension> 2
86.24 <dimensions> 16
86.25 <diminish> 1
86.26 <diminished> 5
86.27 <diminution> 1
86.28 <diminutive> 3
86.29 <dimmed> 1
86.30 <din> 2
86.31 <dine> 2
86.32 <dined> 7
86.33 <dingey> 1
86.34 <dining> 1
86.35 <dinner> 17
86.36 <dinners> 3
86.37 <diodon> 5
86.38 <diopaea> 1
86.39 <dios> 1
86.40 <dip> 1
86.41 <dipped> 1
-----------  cluster 87 is an index cluster --------
87.0 <dipping> 88
87.1 <discontent> 89
87.2 <dispersed> 90
87.3 <distressing> 91
87.4 <dodged> 92
87.5 <doubling> 93
87.6 <dreams> 94
87.7 <drunkenness> 95
87.8 <dysentery> 96
87.9 <edge> 97
87.10 <eimeo> 98
87.11 <ellis> 99
87.12 <emu> 100
87.13 <ends> 101
87.14 <entering> 102
87.15 <equalling> 103
87.16 <especially> 104
87.17 <euphorbiaceae> 105
87.18 <excavated> 106
87.19 <exempted> 107
87.20 <expended> 108
87.21 <exquisitely> 109
87.22 <eyed> 110
87.23 <fall> 111
87.24 <fastened> 112
87.25 <februa> 113
87.26 <feronia> 114
87.27 <figured> 115
87.28 <fireside> 116
87.29 <flannel> 117
87.30 <flock> 118
87.31 <foam> 119
87.32 <foreigner> 120
87.33 <fortis> 121
87.34 <fragment> 122
87.35 <friendly> 123
87.36 <fuel> 124
87.37 <gait> 125
87.38 <gaucho> 126
87.39 <geography> 127
87.40 <girls> 128
87.41 <gloves> 129
-----------  cluster 88 is a word count cluster --------
88.0 <dipping> 1
88.1 <diptera> 2
88.2 <dir> 1
88.3 <direct> 14
88.4 <directed> 10
88.5 <directing> 1
88.6 <direction> 53
88.7 <directions> 11
88.8 <directly> 22
88.9 <director> 1
88.10 <directors> 1
88.11 <dirt> 3
88.12 <dirtied> 1
88.13 <dirty> 15
88.14 <disable> 1
88.15 <disadvantage> 1
88.16 <disadvantages> 2
88.17 <disagreeable> 10
88.18 <disappear> 4
88.19 <disappearance> 1
88.20 <disappeared> 7
88.21 <disappearing> 1
88.22 <disappears> 3
88.23 <disappoint> 1
88.24 <disappointed> 7
88.25 <disappointment> 3
88.26 <disapprobation> 1
88.27 <disapproved> 1
88.28 <disastrous> 1
88.29 <discharge> 2
88.30 <disciplined> 2
88.31 <disciplining> 1
88.32 <disclaimer> 1
88.33 <disclaimers> 2
88.34 <disclaims> 2
88.35 <discoloration> 2
88.36 <discoloured> 3
88.37 <discolouring> 1
88.38 <discomfiture> 1
88.39 <discomfort> 1
88.40 <discomforts> 1
88.41 <disconsolate> 1
-----------  cluster 89 is a word count cluster --------
89.0 <discontent> 2
89.1 <discontented> 2
89.2 <discordant> 1
89.3 <discouraged> 1
89.4 <discourse> 1
89.5 <discover> 11
89.6 <discovered> 47
89.7 <discoverer> 1
89.8 <discoverers> 1
89.9 <discoverin> 1
89.10 <discovering> 1
89.11 <discovery> 8
89.12 <discrimination> 1
89.13 <discussed> 2
89.14 <discussing> 3
89.15 <discussion> 5
89.16 <disease> 9
89.17 <diseases> 2
89.18 <disengage> 1
89.19 <disengaged> 1
89.20 <disguise> 1
89.21 <disgust> 2
89.22 <disgusted> 1
89.23 <disgusting> 9
89.24 <dish> 3
89.25 <dishes> 1
89.26 <dishonesty> 1
89.27 <disintegration> 1
89.28 <disinterested> 4
89.29 <disk> 6
89.30 <dislike> 3
89.31 <dislocated> 4
89.32 <dislocation> 1
89.33 <dismantle> 1
89.34 <dismay> 1
89.35 <dismount> 1
89.36 <dismounted> 3
89.37 <disorder> 1
89.38 <disordered> 1
89.39 <disorders> 2
89.40 <disorganization> 1
89.41 <dispel> 1
-----------  cluster 90 is a word count cluster --------
90.0 <dispersed> 3
90.1 <dispersing> 1
90.2 <displaced> 3
90.3 <displacement> 1
90.4 <displacing> 1
90.5 <display> 4
90.6 <displayed> 9
90.7 <displaying> 1
90.8 <displays> 3
90.9 <disposition> 7
90.10 <disproportionate> 1
90.11 <dispute> 2
90.12 <disputed> 2
90.13 <disputes> 1
90.14 <disregard> 2
90.15 <disrespectfully> 1
90.16 <dissatisfied> 1
90.17 <dissected> 2
90.18 <dissecting> 1
90.19 <dissection> 1
90.20 <disseminated> 1
90.21 <dissimilar> 2
90.22 <dissipate> 1
90.23 <dissolute> 1
90.24 <dissolved> 1
90.25 <distanc> 1
90.26 <distance> 169
90.27 <distances> 8
90.28 <distant> 96
90.29 <distended> 9
90.30 <distending> 1
90.31 <distinct> 49
90.32 <distinction> 3
90.33 <distinctions> 1
90.34 <distinctly> 11
90.35 <distinguish> 10
90.36 <distinguishable> 3
90.37 <distinguished> 27
90.38 <distorted> 1
90.39 <distracted> 1
90.40 <distress> 2
90.41 <distressed> 2
-----------  cluster 91 is a word count cluster --------
91.0 <distressing> 3
91.1 <distribute> 5
91.2 <distributed> 14
91.3 <distribution> 19
91.4 <district> 40
91.5 <districts> 12
91.6 <distrust> 1
91.7 <distrustful> 1
91.8 <disturb> 4
91.9 <disturbance> 8
91.10 <disturbances> 3
91.11 <disturbed> 11
91.12 <disturbing> 2
91.13 <disturbs> 1
91.14 <disused> 1
91.15 <ditch> 4
91.16 <ditches> 2
91.17 <diurnal> 1
91.18 <dive> 2
91.19 <dived> 3
91.20 <diver> 1
91.21 <diverged> 1
91.22 <divergence> 1
91.23 <diverging> 3
91.24 <diverse> 1
91.25 <diversity> 1
91.26 <dives> 4
91.27 <divide> 2
91.28 <divided> 21
91.29 <divides> 6
91.30 <dividing> 1
91.31 <divine> 2
91.32 <diving> 8
91.33 <divisio> 1
91.34 <division> 15
91.35 <do> 148
91.36 <dobrizhoffen> 1
91.37 <dobrizhoffer> 1
91.38 <dock> 1
91.39 <doctor> 1
91.40 <doctrine> 1
91.41 <dodge> 1
-----------  cluster 92 is a word count cluster --------
92.0 <dodged> 1
92.1 <dodo> 2
92.2 <does> 85
92.3 <dog> 22
92.4 <doggies> 1
92.5 <dogs> 43
92.6 <doing> 8
92.7 <dolichonyx> 1
92.8 <dollar> 2
92.9 <dollars> 15
92.10 <dolorous> 2
92.11 <domain> 5
92.12 <domestic> 8
92.13 <domesticated> 6
92.14 <domestication> 2
92.15 <domidor> 1
92.16 <domidors> 1
92.17 <domingo> 2
92.18 <dominion> 1
92.19 <domo> 5
92.20 <don> 19
92.21 <donatia> 1
92.22 <donations> 4
92.23 <done> 19
92.24 <donkey> 1
92.25 <donkeys> 2
92.26 <dont> 1
92.27 <doom> 2
92.28 <doomed> 2
92.29 <door> 8
92.30 <doors> 6
92.31 <doorway> 3
92.32 <doorways> 2
92.33 <doris> 3
92.34 <dormant> 5
92.35 <dorsal> 3
92.36 <doth> 1
92.37 <dots> 1
92.38 <dotted> 5
92.39 <double> 8
92.40 <doubled> 4
92.41 <doubleday> 1
-----------  cluster 93 is a word count cluster --------
93.0 <doubling> 3
93.1 <doubt> 80
93.2 <doubted> 8
93.3 <doubtful> 7
93.4 <doubtless> 5
93.5 <doubts> 2
93.6 <douglas> 3
93.7 <dove> 4
93.8 <doves> 3
93.9 <doveton> 1
93.10 <down> 160
93.11 <downs> 1
93.12 <downward> 2
93.13 <downwards> 12
93.14 <doze> 1
93.15 <dozen> 8
93.16 <dozens> 1
93.17 <dr> 45
93.18 <drag> 3
93.19 <dragged> 6
93.20 <dragging> 4
93.21 <drainage> 5
93.22 <drained> 3
93.23 <draining> 2
93.24 <drains> 3
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93.27 <drapery> 1
93.28 <draw> 6
93.29 <drawback> 2
93.30 <drawbacks> 1
93.31 <drawers> 2
93.32 <drawing> 7
93.33 <drawings> 1
93.34 <drawn> 23
93.35 <draws> 3
93.36 <dread> 4
93.37 <dreaded> 3
93.38 <dreadful> 2
93.39 <dreadfully> 1
93.40 <dream> 4
93.41 <dreamed> 1
-----------  cluster 94 is a word count cluster --------
94.0 <dreams> 1
94.1 <dreary> 4
94.2 <dregs> 1
94.3 <drenched> 2
94.4 <dress> 7
94.5 <dressed> 11
94.6 <dresses> 1
94.7 <drew> 9
94.8 <dried> 9
94.9 <drier> 2
94.10 <dries> 2
94.11 <driest> 3
94.12 <drift> 3
94.13 <drifte> 1
94.14 <drifted> 10
94.15 <drifts> 5
94.16 <drigg> 4
94.17 <drilled> 3
94.18 <drink> 14
94.19 <drinkable> 1
94.20 <drinking> 10
94.21 <drinks> 1
94.22 <dripping> 2
94.23 <drive> 13
94.24 <driven> 34
94.25 <driver> 1
94.26 <driving> 10
94.27 <drizzling> 2
94.28 <dro> 1
94.29 <drooping> 2
94.30 <drop> 19
94.31 <droppe> 1
94.32 <dropped> 5
94.33 <dropping> 3
94.34 <drops> 8
94.35 <drought> 10
94.36 <droughts> 3
94.37 <drove> 5
94.38 <drowned> 7
94.39 <drum> 1
94.40 <drunk> 3
94.41 <drunken> 1
-----------  cluster 95 is a word count cluster --------
95.0 <drunkenness> 2
95.1 <dry> 101
95.2 <drying> 6
95.3 <dryness> 8
95.4 <du> 4
95.5 <dublin> 4
95.6 <duck> 4
95.7 <ducklings> 1
95.8 <ducks> 3
95.9 <due> 16
95.10 <dug> 2
95.11 <dugong> 1
95.12 <dull> 13
95.13 <duller> 1
95.14 <dullish> 1
95.15 <duly> 1
95.16 <dunes> 5
95.17 <dung> 12
95.18 <dungeon> 1
95.19 <dungeons> 1
95.20 <dunheved> 1
95.21 <duodenum> 1
95.22 <durability> 3
95.23 <duratio> 1
95.24 <duration> 1
95.25 <durham> 1
95.26 <during> 260
95.27 <dusk> 2
95.28 <duskier> 1
95.29 <dusky> 14
95.30 <dust> 24
95.31 <dusty> 3
95.32 <dutch> 1
95.33 <dutchman> 1
95.34 <duty> 2
95.35 <dwarf> 9
95.36 <dwellings> 3
95.37 <dwindled> 1
95.38 <dye> 1
95.39 <dyes> 1
95.40 <dying> 6
95.41 <dykes> 2
-----------  cluster 96 is a word count cluster --------
96.0 <dysentery> 1
96.1 <e> 14
96.2 <each> 260
96.3 <eagerly> 4
96.4 <eagerness> 1
96.5 <eagles> 2
96.6 <ear> 7
96.7 <eared> 1
96.8 <earlier> 5
96.9 <earliest> 3
96.10 <early> 42
96.11 <earn> 1
96.12 <earnest> 1
96.13 <earnestly> 2
96.14 <ears> 9
96.15 <earth> 49
96.16 <earthen> 2
96.17 <earthenware> 4
96.18 <earthquake> 52
96.19 <earthquakes> 23
96.20 <earths> 1
96.21 <earthy> 2
96.22 <eas> 1
96.23 <ease> 5
96.24 <easier> 1
96.25 <easily> 36
96.26 <east> 26
96.27 <easterly> 3
96.28 <eastern> 35
96.29 <eastward> 9
96.30 <easy> 14
96.31 <eat> 44
96.32 <eaten> 8
96.33 <eaters> 3
96.34 <eating> 22
96.35 <ebb> 1
96.36 <ebbing> 3
96.37 <ebcdic> 2
96.38 <economy> 2
96.39 <eddies> 3
96.40 <edental> 1
96.41 <edentata> 6
-----------  cluster 97 is a word count cluster --------
97.0 <edge> 28
97.1 <edged> 2
97.2 <edges> 12
97.3 <edgeways> 1
97.4 <edible> 1
97.5 <edifices> 3
97.6 <edin> 3
97.7 <edinburgh> 2
97.8 <edited> 1
97.9 <editing> 2
97.10 <edition> 12
97.11 <editions> 1
97.12 <edu> 1
97.13 <educate> 1
97.14 <educated> 2
97.15 <education> 5
97.16 <edusa> 1
97.17 <edwards> 3
97.18 <eels> 1
97.19 <effect> 53
97.20 <effected> 16
97.21 <effective> 1
97.22 <effects> 25
97.23 <effectual> 1
97.24 <effectually> 4
97.25 <effets> 1
97.26 <efficient> 2
97.27 <effloresce> 1
97.28 <efflorescence> 1
97.29 <effluvium> 2
97.30 <effort> 3
97.31 <efforts> 5
97.32 <egg> 5
97.33 <eggs> 53
97.34 <egrets> 1
97.35 <ehrenberg> 15
97.36 <eight> 48
97.37 <eighteen> 11
97.38 <eighth> 3
97.39 <eighthly> 1
97.40 <eighths> 1
97.41 <eighty> 19
-----------  cluster 98 is a word count cluster --------
98.0 <eimeo> 3
98.1 <either> 86
98.2 <eject> 1
98.3 <ejected> 2
98.4 <ejecting> 1
98.5 <eke> 1
98.6 <el> 13
98.7 <elaborate> 1
98.8 <elan> 3
98.9 <elapsed> 1
98.10 <elastic> 9
98.11 <elasticity> 2
98.12 <elater> 4
98.13 <elateridae> 1
98.14 <elaters> 1
98.15 <elder> 3
98.16 <elderly> 1
98.17 <eldest> 1
98.18 <elected> 6
98.19 <election> 1
98.20 <electric> 2
98.21 <electrical> 3
98.22 <electricity> 2
98.23 <electronic> 2
98.24 <electronically> 3
98.25 <elegance> 5
98.26 <elegans> 1
98.27 <elegant> 12
98.28 <elegantly> 1
98.29 <element> 2
98.30 <elements> 7
98.31 <elephant> 12
98.32 <elephants> 7
98.33 <elevate> 2
98.34 <elevated> 29
98.35 <elevates> 1
98.36 <elevation> 60
98.37 <elevations> 5
98.38 <elevatory> 8
98.39 <eleven> 10
98.40 <elles> 1
98.41 <elliptic> 2
-----------  cluster 99 is a word count cluster --------
99.0 <ellis> 3
99.1 <ellore> 1
99.2 <elm> 1
99.3 <elmo> 1
99.4 <elongated> 2
99.5 <eloquence> 1
99.6 <eloquently> 1
99.7 <else> 18
99.8 <elsewhere> 5
99.9 <email> 2
99.10 <emancipated> 1
99.11 <emancipist> 1
99.12 <emasculate> 1
99.13 <embargo> 1
99.14 <embark> 1
99.15 <embarked> 1
99.16 <embarking> 1
99.17 <embedded> 31
99.18 <embellishment> 1
99.19 <embers> 1
99.20 <emblem> 2
99.21 <embraced> 1
99.22 <emerald> 1
99.23 <emerge> 1
99.24 <emergency> 1
99.25 <emigrate> 3
99.26 <emigration> 1
99.27 <eminence> 8
99.28 <eminent> 3
99.29 <eminently> 9
99.30 <emit> 1
99.31 <emits> 2
99.32 <emitted> 4
99.33 <emitting> 2
99.34 <empetrum> 1
99.35 <employ> 1
99.36 <employed> 37
99.37 <employing> 1
99.38 <employment> 4
99.39 <empress> 1
99.40 <emptied> 1
99.41 <empty> 2
-----------  cluster 100 is a word count cluster --------
100.0 <emu> 4
100.1 <emulator> 1
100.2 <emus> 2
100.3 <en> 2
100.4 <enable> 1
100.5 <enabled> 6
100.6 <enamel> 2
100.7 <enamelled> 1
100.8 <encamped> 1
100.9 <encampment> 6
100.10 <encamps> 1
100.11 <encerrado> 1
100.12 <enchanter> 2
100.13 <encircle> 2
100.14 <encircled> 10
100.15 <encircles> 2
100.16 <encircling> 11
100.17 <enclos> 1
100.18 <enclosed> 11
100.19 <enclosure> 5
100.20 <enclosures> 2
100.21 <encompassed> 3
100.22 <encounter> 1
100.23 <encountered> 3
100.24 <encourage> 1
100.25 <encourages> 1
100.26 <encouraging> 1
100.27 <encroach> 1
100.28 <encroached> 1
100.29 <encroaches> 1
100.30 <encumbered> 1
100.31 <encyclop> 2
100.32 <end> 55
100.33 <endeavour> 3
100.34 <endeavoured> 5
100.35 <endeavouring> 2
100.36 <endeavours> 2
100.37 <ended> 4
100.38 <endemic> 2
100.39 <ending> 1
100.40 <endless> 4
100.41 <endroits> 1
-----------  cluster 101 is a word count cluster --------
101.0 <ends> 15
101.1 <endurance> 1
101.2 <endure> 2
101.3 <enduring> 1
101.4 <enemies> 6
101.5 <enemy> 4
101.6 <energetic> 1
101.7 <energy> 3
101.8 <enforced> 1
101.9 <engaged> 2
101.10 <engagement> 4
101.11 <engenhodo> 1
101.12 <engineer> 1
101.13 <engines> 1
101.14 <england> 74
101.15 <english> 78
101.16 <englishman> 12
101.17 <englishmen> 12
101.18 <engraved> 1
101.19 <engraving> 2
101.20 <engravings> 1
101.21 <enigma> 1
101.22 <enjoy> 8
101.23 <enjoyed> 24
101.24 <enjoying> 2
101.25 <enjoyment> 6
101.26 <enjoys> 4
101.27 <enlarged> 3
101.28 <enlivened> 2
101.29 <enormity> 1
101.30 <enormous> 18
101.31 <enormously> 1
101.32 <enough> 23
101.33 <enraged> 1
101.34 <ensue> 1
101.35 <ensued> 3
101.36 <ensuing> 12
101.37 <entangle> 1
101.38 <entangled> 19
101.39 <entanglement> 1
101.40 <enter> 19
101.41 <entered> 39
-----------  cluster 102 is a word count cluster --------
102.0 <entering> 15
102.1 <enterprise> 1
102.2 <enterprising> 1
102.3 <enters> 9
102.4 <entertain> 1
102.5 <entertained> 2
102.6 <enthusiasm> 1
102.7 <enthusiastic> 3
102.8 <entire> 28
102.9 <entirely> 37
102.10 <entombed> 3
102.11 <entombment> 1
102.12 <entomol> 1
102.13 <entomological> 1
102.14 <entomologist> 4
102.15 <entomology> 5
102.16 <entomostraca> 1
102.17 <entomostracous> 1
102.18 <entrance> 9
102.19 <entre> 4
102.20 <entreat> 1
102.21 <entry> 1
102.22 <entwine> 1
102.23 <enumerate> 1
102.24 <enumerated> 5
102.25 <envelope> 1
102.26 <enveloped> 2
102.27 <envelops> 1
102.28 <environ> 1
102.29 <environne> 1
102.30 <envy> 2
102.31 <epeira> 11
102.32 <epidemics> 1
102.33 <epithet> 2
102.34 <epithets> 1
102.35 <epoch> 9
102.36 <epochs> 5
102.37 <equable> 8
102.38 <equal> 27
102.39 <equality> 4
102.40 <equalle> 1
102.41 <equalled> 3
-----------  cluster 103 is a word count cluster --------
103.0 <equalling> 3
103.1 <equally> 17
103.2 <equals> 3
103.3 <equator> 7
103.4 <equatorial> 6
103.5 <equidistant> 1
103.6 <equilibrium> 2
103.7 <equinox> 1
103.8 <equipment> 1
103.9 <equipped> 3
103.10 <equivalent> 3
103.11 <equivocal> 1
103.12 <equus> 1
103.13 <era> 1
103.14 <erec> 1
103.15 <erect> 5
103.16 <erected> 2
103.17 <erichson> 1
103.18 <erosio> 1
103.19 <erratic> 7
103.20 <erroneous> 4
103.21 <error> 1
103.22 <errors> 1
103.23 <eructans> 1
103.24 <erupted> 3
103.25 <eruption> 10
103.26 <eruptions> 5
103.27 <eruptive> 2
103.28 <eryngium> 1
103.29 <erythraeum> 1
103.30 <es> 1
103.31 <escape> 24
103.32 <escaped> 16
103.33 <escapes> 1
103.34 <escaping> 2
103.35 <escarpment> 1
103.36 <escarpments> 2
103.37 <eschara> 1
103.38 <escort> 1
103.39 <esculentus> 1
103.40 <espagne> 1
103.41 <especial> 1
-----------  cluster 104 is a word count cluster --------
104.0 <especially> 32
104.1 <esquimau> 1
104.2 <essay> 5
104.3 <essays> 1
104.4 <essential> 6
104.5 <essex> 1
104.6 <est> 2
104.7 <establish> 1
104.8 <established> 9
104.9 <establishment> 6
104.10 <establishments> 1
104.11 <estacado> 1
104.12 <estancia> 15
104.13 <estancias> 10
104.14 <estanciero> 2
104.15 <estate> 15
104.16 <estates> 2
104.17 <esteem> 1
104.18 <esteemed> 3
104.19 <estimate> 1
104.20 <estimated> 7
104.21 <estimates> 1
104.22 <estimation> 3
104.23 <estuaries> 1
104.24 <estuary> 16
104.25 <et> 5
104.26 <etc> 15
104.27 <ete> 2
104.28 <eternal> 1
104.29 <eternally> 1
104.30 <eternity> 1
104.31 <etext> 32
104.32 <etext90> 1
104.33 <etext96> 1
104.34 <etexts> 14
104.35 <etiquette> 2
104.36 <etna> 1
104.37 <etonnement> 1
104.38 <eucalypti> 2
104.39 <eucalyptus> 2
104.40 <eudromia> 1
104.41 <euphorbia> 1
-----------  cluster 105 is a word count cluster --------
105.0 <euphorbiaceae> 1
105.1 <europe> 42
105.2 <european> 18
105.3 <europeans> 4
105.4 <evaporate> 1
105.5 <evaporated> 4
105.6 <evaporation> 5
105.7 <eve> 5
105.8 <even> 273
105.9 <evening> 103
105.10 <event> 4
105.11 <events> 3
105.12 <eventually> 1
105.13 <ever> 75
105.14 <evergreen> 9
105.15 <evergreens> 1
105.16 <everlasting> 2
105.17 <every> 260
105.18 <everybody> 1
105.19 <everything> 20
105.20 <everywhere> 24
105.21 <evidence> 21
105.22 <evident> 36
105.23 <evidently> 26
105.24 <evil> 8
105.25 <evils> 1
105.26 <evince> 1
105.27 <evinced> 1
105.28 <evolutions> 1
105.29 <ewe> 1
105.30 <exact> 3
105.31 <exactions> 1
105.32 <exactly> 13
105.33 <exaggerated> 6
105.34 <exaggeration> 1
105.35 <exaggerations> 1
105.36 <examination> 8
105.37 <examine> 13
105.38 <examined> 21
105.39 <examines> 2
105.40 <examining> 10
105.41 <example> 5
-----------  cluster 106 is a word count cluster --------
106.0 <excavated> 3
106.1 <excavation> 2
106.2 <excavations> 1
106.3 <exceed> 6
106.4 <exceeded> 5
106.5 <exceeding> 1
106.6 <exceedingly> 39
106.7 <exceeds> 2
106.8 <excellence> 1
106.9 <excellent> 26
106.10 <excellently> 2
106.11 <except> 38
106.12 <excepted> 3
106.13 <excepting> 41
106.14 <exception> 32
106.15 <exceptional> 2
106.16 <exceptions> 5
106.17 <excess> 4
106.18 <excessive> 5
106.19 <excessively> 8
106.20 <exchange> 4
106.21 <exchequer> 1
106.22 <excite> 1
106.23 <excited> 7
106.24 <excitement> 2
106.25 <excites> 1
106.26 <exciting> 2
106.27 <exclaim> 3
106.28 <exclaimed> 6
106.29 <exclude> 2
106.30 <excluding> 2
106.31 <exclusion> 3
106.32 <exclusions> 1
106.33 <exclusive> 2
106.34 <exclusively> 13
106.35 <excremens> 1
106.36 <excursion> 28
106.37 <excursions> 11
106.38 <excusable> 1
106.39 <execution> 3
106.40 <executive> 1
106.41 <exemplified> 3
-----------  cluster 107 is a word count cluster --------
107.0 <exempted> 1
107.1 <exercise> 3
107.2 <exercised> 1
107.3 <exert> 5
107.4 <exerted> 2
107.5 <exertion> 7
107.6 <exertions> 2
107.7 <exeter> 1
107.8 <exhalations> 1
107.9 <exhaled> 1
107.10 <exhausted> 10
107.11 <exhaustless> 1
107.12 <exhibited> 4
107.13 <exhilarating> 1
107.14 <exist> 21
107.15 <existe> 1
107.16 <existed> 10
107.17 <existence> 16
107.18 <existing> 24
107.19 <exists> 10
107.20 <exorbitant> 1
107.21 <exotic> 1
107.22 <expand> 3
107.23 <expande> 1
107.24 <expanded> 8
107.25 <expanding> 3
107.26 <expands> 2
107.27 <expanse> 15
107.28 <expanses> 1
107.29 <expansion> 1
107.30 <expansions> 1
107.31 <expect> 4
107.32 <expectation> 1
107.33 <expectations> 3
107.34 <expected> 33
107.35 <expecting> 1
107.36 <expects> 1
107.37 <exped> 1
107.38 <expedition> 14
107.39 <expeditions> 2
107.40 <expel> 1
107.41 <expelled> 1
-----------  cluster 108 is a word count cluster --------
108.0 <expended> 1
108.1 <expends> 1
108.2 <expense> 8
108.3 <expenses> 2
108.4 <expensive> 1
108.5 <experience> 9
108.6 <experienced> 11
108.7 <experiences> 2
108.8 <experiment> 3
108.9 <experiments> 2
108.10 <expert> 1
108.11 <expiate> 1
108.12 <expired> 1
108.13 <explain> 15
108.14 <explained> 12
108.15 <explaining> 3
108.16 <explains> 1
108.17 <explanation> 11
108.18 <explanatory> 1
108.19 <expletus> 1
108.20 <exploding> 1
108.21 <exploits> 1
108.22 <exploring> 1
108.23 <explosion> 2
108.24 <explosions> 1
108.25 <export> 4
108.26 <exportation> 1
108.27 <exported> 1
108.28 <exports> 3
108.29 <expose> 2
108.30 <exposed> 23
108.31 <exposes> 1
108.32 <exposure> 2
108.33 <express> 11
108.34 <expressed> 9
108.35 <expresses> 4
108.36 <expressing> 3
108.37 <expression> 21
108.38 <expressions> 6
108.39 <expressive> 1
108.40 <expulsion> 2
108.41 <exquisite> 2
-----------  cluster 109 is a word count cluster --------
109.0 <exquisitely> 1
109.1 <exserted> 2
109.2 <extant> 1
109.3 <extend> 13
109.4 <extended> 28
109.5 <extending> 9
109.6 <extends> 23
109.7 <extensile> 1
109.8 <extension> 1
109.9 <extensive> 21
109.10 <extensively> 3
109.11 <extent> 23
109.12 <exterior> 3
109.13 <exterminated> 5
109.14 <exterminating> 1
109.15 <extermination> 2
109.16 <exterminations> 1
109.17 <external> 5
109.18 <externally> 5
109.19 <extinct> 28
109.20 <extinction> 11
109.21 <extinguished> 1
109.22 <extinguishing> 1
109.23 <extirpating> 1
109.24 <extort> 2
109.25 <extract> 1
109.26 <extracted> 1
109.27 <extraction> 3
109.28 <extracts> 1
109.29 <extraordinarily> 17
109.30 <extraordinary> 41
109.31 <extravagance> 1
109.32 <extreme> 51
109.33 <extremely> 61
109.34 <extremes> 1
109.35 <extremities> 3
109.36 <extremity> 23
109.37 <extricate> 1
109.38 <extricated> 1
109.39 <exuberant> 1
109.40 <exuded> 1
109.41 <eye> 38
-----------  cluster 110 is a word count cluster --------
110.0 <eyed> 2
110.1 <eyeing> 1
110.2 <eyelids> 1
110.3 <eyes> 32
110.4 <eyre> 1
110.5 <f> 11
110.6 <fa> 1
110.7 <fabricius> 1
110.8 <facade> 1
110.9 <face> 41
110.10 <faced> 1
110.11 <faces> 13
110.12 <facial> 1
110.13 <facilitates> 1
110.14 <facilitating> 1
110.15 <facilities> 1
110.16 <facility> 5
110.17 <facing> 1
110.18 <fact> 84
110.19 <facts> 40
110.20 <faculty> 1
110.21 <fade> 1
110.22 <faded> 1
110.23 <fades> 1
110.24 <fading> 1
110.25 <fagus> 2
110.26 <fail> 11
110.27 <failed> 20
110.28 <failing> 5
110.29 <fails> 2
110.30 <faint> 6
110.31 <faintest> 1
110.32 <faintly> 1
110.33 <fair> 8
110.34 <fairer> 1
110.35 <fairly> 9
110.36 <fairy> 2
110.37 <faithful> 5
110.38 <faithfully> 1
110.39 <falconer> 7
110.40 <falkland> 20
110.41 <falklands> 6
-----------  cluster 111 is a word count cluster --------
111.0 <fall> 41
111.1 <fallacy> 2
111.2 <fallen> 32
111.3 <falling> 16
111.4 <falls> 33
111.5 <falmouth> 1
111.6 <false> 5
111.7 <famed> 1
111.8 <familiar> 3
111.9 <familiaris> 1
111.10 <families> 21
111.11 <family> 55
111.12 <famine> 17
111.13 <famines> 1
111.14 <famished> 2
111.15 <famoso> 2
111.16 <famous> 16
111.17 <fan> 1
111.18 <fancied> 5
111.19 <fanciful> 2
111.20 <fancy> 3
111.21 <fancying> 1
111.22 <fangs> 1
111.23 <fantastic> 3
111.24 <fantastical> 2
111.25 <far> 197
111.26 <fared> 1
111.27 <farewell> 9
111.28 <farinha> 2
111.29 <farm> 16
111.30 <farmer> 3
111.31 <farmers> 2
111.32 <farmhouses> 2
111.33 <farming> 3
111.34 <farms> 1
111.35 <farther> 9
111.36 <farthest> 4
111.37 <fascinating> 2
111.38 <fashion> 13
111.39 <fashioned> 1
111.40 <fast> 9
111.41 <fasten> 3
-----------  cluster 112 is a word count cluster --------
112.0 <fastened> 8
112.1 <fastens> 1
112.2 <fat> 12
112.3 <fatal> 12
112.4 <fate> 5
112.5 <father> 11
112.6 <fatherland> 1
112.7 <fathoms> 21
112.8 <fatigue> 6
112.9 <fatigued> 1
112.10 <fatiguing> 3
112.11 <fattened> 1
112.12 <fault> 2
112.13 <faults> 1
112.14 <fauna> 3
112.15 <favour> 7
112.16 <favourable> 21
112.17 <favourably> 1
112.18 <favoured> 4
112.19 <favouring> 1
112.20 <favourite> 10
112.21 <favours> 1
112.22 <fazenda> 1
112.23 <fazendas> 1
112.24 <fe> 14
112.25 <fear> 20
112.26 <fearful> 4
112.27 <fearfully> 2
112.28 <fearing> 1
112.29 <fearless> 2
112.30 <fearlessly> 2
112.31 <fears> 5
112.32 <feast> 13
112.33 <feasted> 1
112.34 <feat> 2
112.35 <feather> 3
112.36 <feathered> 1
112.37 <feathers> 15
112.38 <feats> 2
112.39 <feature> 18
112.40 <features> 18
112.41 <feb> 3
-----------  cluster 113 is a word count cluster --------
113.0 <februa> 1
113.1 <february> 11
113.2 <fed> 6
113.3 <fee> 4
113.4 <feeble> 2
113.5 <feed> 21
113.6 <feeder> 1
113.7 <feeders> 5
113.8 <feeding> 24
113.9 <feeds> 9
113.10 <feel> 35
113.11 <feeling> 30
113.12 <feelings> 19
113.13 <feels> 3
113.14 <fees> 2
113.15 <feet> 306
113.16 <feigned> 2
113.17 <feigning> 2
113.18 <feigns> 1
113.19 <feijao> 1
113.20 <fel> 1
113.21 <feldspathic> 1
113.22 <felipe> 3
113.23 <felix> 1
113.24 <fell> 30
113.25 <fellow> 11
113.26 <felspar> 1
113.27 <felspathic> 1
113.28 <felt> 28
113.29 <female> 17
113.30 <females> 12
113.31 <fence> 2
113.32 <fences> 1
113.33 <fennel> 3
113.34 <fens> 1
113.35 <ferguson> 1
113.36 <fern> 13
113.37 <fernandez> 3
113.38 <fernando> 9
113.39 <ferns> 16
113.40 <ferocious> 1
113.41 <ferocity> 2
-----------  cluster 114 is a word count cluster --------
114.0 <feronia> 1
114.1 <ferried> 1
114.2 <ferruginous> 1
114.3 <ferry> 3
114.4 <fertile> 16
114.5 <fertility> 7
114.6 <fertilizing> 1
114.7 <festival> 1
114.8 <fetch> 1
114.9 <fetched> 1
114.10 <fetid> 4
114.11 <fetlock> 1
114.12 <fetlocks> 1
114.13 <feudal> 1
114.14 <fever> 4
114.15 <fevers> 3
114.16 <few> 277
114.17 <fewer> 4
114.18 <fewness> 1
114.19 <fibre> 3
114.20 <fibres> 6
114.21 <fibrous> 2
114.22 <field> 19
114.23 <fieldfare> 1
114.24 <fields> 26
114.25 <fierce> 8
114.26 <fierceness> 1
114.27 <fiercer> 1
114.28 <fiery> 2
114.29 <fife> 1
114.30 <fifteen> 32
114.31 <fifth> 4
114.32 <fifthly> 2
114.33 <fifths> 1
114.34 <fifty> 33
114.35 <fig> 5
114.36 <fight> 4
114.37 <fighting> 9
114.38 <fights> 1
114.39 <figs> 8
114.40 <figuireda> 2
114.41 <figure> 7
-----------  cluster 115 is a word count cluster --------
115.0 <figured> 1
115.1 <figures> 9
115.2 <filamentous> 1
115.3 <filched> 1
115.4 <file> 6
115.5 <files> 7
115.6 <fill> 7
115.7 <fille> 1
115.8 <filled> 22
115.9 <fillet> 3
115.10 <filling> 2
115.11 <films> 1
115.12 <filtered> 1
115.13 <filtering> 1
115.14 <filth> 3
115.15 <filthily> 3
115.16 <filthy> 5
115.17 <fin> 5
115.18 <final> 5
115.19 <finally> 8
115.20 <finch> 2
115.21 <finches> 12
115.22 <find> 87
115.23 <finding> 34
115.24 <finds> 10
115.25 <fine> 108
115.26 <finely> 5
115.27 <finer> 3
115.28 <finest> 5
115.29 <finger> 8
115.30 <fingers> 4
115.31 <finis> 1
115.32 <finish> 2
115.33 <finished> 8
115.34 <fins> 4
115.35 <fiord> 1
115.36 <fir> 5
115.37 <fire> 58
115.38 <firearms> 2
115.39 <fired> 8
115.40 <fireflies> 4
115.41 <fires> 10
-----------  cluster 116 is a word count cluster --------
116.0 <fireside> 1
116.1 <firesides> 1
116.2 <firewood> 13
116.3 <fireworks> 1
116.4 <firing> 2
116.5 <firm> 5
116.6 <firma> 1
116.7 <firmly> 13
116.8 <firs> 4
116.9 <first> 268
116.10 <firstly> 1
116.11 <fis> 1
116.12 <fish> 63
116.13 <fishes> 3
116.14 <fishing> 12
116.15 <fissure> 1
116.16 <fissured> 4
116.17 <fissurella> 1
116.18 <fissurellae> 1
116.19 <fissures> 6
116.20 <fit> 4
116.21 <fitness> 1
116.22 <fitted> 8
116.23 <fitting> 1
116.24 <fitz> 58
116.25 <five> 109
116.26 <fives> 1
116.27 <fix> 2
116.28 <fixed> 11
116.29 <fixes> 2
116.30 <flabby> 1
116.31 <flaco> 1
116.32 <flag> 5
116.33 <flags> 1
116.34 <flagstaff> 1
116.35 <flakes> 1
116.36 <flame> 2
116.37 <flames> 4
116.38 <flamingoes> 4
116.39 <flank> 3
116.40 <flanked> 1
116.41 <flanks> 6
-----------  cluster 117 is a word count cluster --------
117.0 <flannel> 1
117.1 <flap> 2
117.2 <flapping> 3
117.3 <flaps> 1
117.4 <flash> 1
117.5 <flashes> 5
117.6 <flashing> 1
117.7 <flask> 1
117.8 <flat> 40
117.9 <flatness> 2
117.10 <flats> 2
117.11 <flattened> 7
117.12 <flattered> 1
117.13 <flattish> 1
117.14 <flavor> 1
117.15 <flavour> 1
117.16 <flavoured> 2
117.17 <flea> 1
117.18 <fleas> 2
117.19 <fled> 1
117.20 <fleecy> 1
117.21 <fleet> 4
117.22 <flesh> 18
117.23 <fleshy> 5
117.24 <flew> 7
117.25 <flexible> 1
117.26 <flexure> 3
117.27 <flier> 1
117.28 <flies> 5
117.29 <flight> 25
117.30 <flighty> 1
117.31 <flinder> 1
117.32 <flinders> 2
117.33 <flint> 2
117.34 <flirted> 1
117.35 <flitted> 1
117.36 <flitting> 3
117.37 <float> 1
117.38 <floated> 4
117.39 <floating> 18
117.40 <floats> 1
117.41 <flocculent> 2
-----------  cluster 118 is a word count cluster --------
118.0 <flock> 20
118.1 <flocks> 17
118.2 <flogged> 2
118.3 <flood> 4
118.4 <flooded> 5
118.5 <floods> 8
118.6 <floor> 4
118.7 <floors> 1
118.8 <flora> 13
118.9 <florist> 1
118.10 <florula> 1
118.11 <flotilla> 1
118.12 <floundering> 1
118.13 <flourish> 7
118.14 <flourished> 7
118.15 <flourishes> 3
118.16 <flourishing> 5
118.17 <flow> 6
118.18 <flowed> 14
118.19 <flower> 14
118.20 <flowering> 5
118.21 <flowers> 18
118.22 <flowing> 9
118.23 <flows> 14
118.24 <fluently> 1
118.25 <fluid> 23
118.26 <fluidified> 1
118.27 <fluids> 2
118.28 <flurry> 1
118.29 <flustra> 2
118.30 <flustraceae> 1
118.31 <flute> 1
118.32 <fluttered> 1
118.33 <fluttering> 1
118.34 <flutters> 1
118.35 <fly> 11
118.36 <flycatcher> 4
118.37 <flycatchers> 3
118.38 <flying> 15
118.39 <fo> 6
118.40 <foal> 1
118.41 <foals> 2
-----------  cluster 119 is a word count cluster --------
119.0 <foam> 2
119.1 <foaming> 2
119.2 <focus> 2
119.3 <fog> 2
119.4 <fold> 4
119.5 <folded> 3
119.6 <foliaceous> 1
119.7 <foliage> 12
119.8 <follow> 19
119.9 <followed> 41
119.10 <following> 47
119.11 <follows> 11
119.12 <folly> 1
119.13 <fond> 6
119.14 <food> 78
119.15 <foolish> 4
119.16 <fools> 1
119.17 <foot> 56
119.18 <footed> 3
119.19 <footing> 1
119.20 <footnotes> 1
119.21 <footsteps> 6
119.22 <for> 1111
119.23 <foragers> 1
119.24 <forbes> 2
119.25 <forbidden> 2
119.26 <forbidding> 1
119.27 <force> 53
119.28 <forced> 11
119.29 <forceps> 1
119.30 <forces> 13
119.31 <forcible> 1
119.32 <forcibly> 4
119.33 <ford> 1
119.34 <fore> 3
119.35 <foreboded> 1
119.36 <foreboding> 1
119.37 <forecoming> 1
119.38 <foregoing> 2
119.39 <foreground> 2
119.40 <forehead> 1
119.41 <foreign> 5
-----------  cluster 120 is a word count cluster --------
120.0 <foreigner> 1
120.1 <foreigners> 8
120.2 <foremost> 2
120.3 <forenoon> 1
120.4 <forerunner> 1
120.5 <foresaw> 1
120.6 <foresee> 1
120.7 <foreseen> 1
120.8 <forest> 80
120.9 <forests> 42
120.10 <foretell> 1
120.11 <foretold> 2
120.12 <forever> 1
120.13 <forficatus> 1
120.14 <forge> 1
120.15 <forged> 1
120.16 <forget> 10
120.17 <forgets> 1
120.18 <forgetting> 1
120.19 <forgive> 1
120.20 <forgot> 1
120.21 <forgotten> 7
120.22 <forked> 1
120.23 <forks> 2
120.24 <forlorn> 4
120.25 <form> 98
120.26 <formal> 3
120.27 <formalities> 1
120.28 <formation> 34
120.29 <formations> 13
120.30 <formed> 116
120.31 <former> 63
120.32 <formerly> 64
120.33 <formidable> 4
120.34 <forming> 33
120.35 <forms> 50
120.36 <forres> 1
120.37 <forster> 1
120.38 <fort> 7
120.39 <forth> 24
120.40 <fortifications> 3
120.41 <fortified> 4
-----------  cluster 121 is a word count cluster --------
121.0 <fortis> 1
121.1 <fortitude> 1
121.2 <fortnight> 8
121.3 <fortress> 6
121.4 <forts> 2
121.5 <fortunate> 9
121.6 <fortunately> 4
121.7 <fortune> 6
121.8 <fortunes> 1
121.9 <forty> 34
121.10 <forward> 12
121.11 <forwarded> 1
121.12 <forwards> 8
121.13 <fossil> 22
121.14 <fossiles> 1
121.15 <fossiliferous> 5
121.16 <fossils> 5
121.17 <foster> 2
121.18 <fou> 1
121.19 <fought> 2
121.20 <foul> 2
121.21 <foun> 2
121.22 <found> 299
121.23 <foundation> 16
121.24 <foundations> 4
121.25 <founded> 2
121.26 <foundries> 1
121.27 <founds> 1
121.28 <four> 135
121.29 <fours> 1
121.30 <fourteen> 12
121.31 <fourth> 7
121.32 <fourthly> 2
121.33 <fourths> 1
121.34 <fowl> 7
121.35 <fowls> 4
121.36 <fox> 12
121.37 <foxes> 7
121.38 <fracture> 1
121.39 <fractured> 1
121.40 <fractures> 1
121.41 <fragm> 1
-----------  cluster 122 is a word count cluster --------
122.0 <fragment> 5
122.1 <fragments> 65
122.2 <fragrance> 2
122.3 <fragrant> 2
122.4 <frame> 2
122.5 <framed> 3
122.6 <framework> 2
122.7 <france> 7
122.8 <francia> 1
122.9 <francisco> 1
122.10 <franks> 1
122.11 <frantic> 1
122.12 <free> 28
122.13 <freedom> 5
122.14 <freeholders> 1
122.15 <freely> 2
122.16 <freestone> 1
122.17 <freeze> 2
122.18 <freezes> 1
122.19 <freezing> 3
122.20 <freight> 1
122.21 <freischutz> 1
122.22 <french> 13
122.23 <frenchman> 1
122.24 <frequency> 3
122.25 <frequent> 24
122.26 <frequented> 14
122.27 <frequentl> 1
122.28 <frequently> 58
122.29 <frequents> 9
122.30 <fres> 2
122.31 <fresh> 71
122.32 <freshly> 2
122.33 <freshness> 1
122.34 <freshwater> 1
122.35 <freyrina> 3
122.36 <friable> 3
122.37 <friar> 1
122.38 <friction> 3
122.39 <fridolin> 1
122.40 <fried> 1
122.41 <friend> 14
-----------  cluster 123 is a word count cluster --------
123.0 <friendly> 7
123.1 <friends> 14
123.2 <friendship> 3
123.3 <frigate> 2
123.4 <fright> 2
123.5 <frighten> 3
123.6 <frightened> 15
123.7 <fringe> 6
123.8 <fringed> 10
123.9 <fringes> 4
123.10 <fringing> 12
123.11 <frio> 2
123.12 <friths> 1
123.13 <fro> 4
123.14 <frog> 7
123.15 <frogs> 8
123.16 <from> 1407
123.17 <fronds> 6
123.18 <front> 42
123.19 <fronte> 1
123.20 <fronted> 4
123.21 <frontier> 1
123.22 <fronting> 2
123.23 <fronts> 3
123.24 <frost> 1
123.25 <frosty> 1
123.26 <froth> 2
123.27 <frothed> 1
123.28 <froze> 2
123.29 <frozen> 19
123.30 <fruit> 31
123.31 <fruits> 7
123.32 <frusta> 1
123.33 <fry> 1
123.34 <ftp> 4
123.35 <fuchsia> 1
123.36 <fucus> 2
123.37 <fuega> 1
123.38 <fuegia> 7
123.39 <fuegian> 14
123.40 <fuegians> 38
123.41 <fuego> 88
-----------  cluster 124 is a word count cluster --------
124.0 <fuel> 6
124.1 <fuentes> 4
124.2 <fugitive> 1
124.3 <fulcrum> 1
124.4 <fulfil> 3
124.5 <fulfilled> 2
124.6 <fulfilling> 2
124.7 <fulgurites> 1
124.8 <full> 80
124.9 <fully> 17
124.10 <fulvipes> 1
124.11 <functions> 2
124.12 <fundamental> 1
124.13 <funeral> 2
124.14 <fungi> 3
124.15 <fungus> 8
124.16 <funnel> 2
124.17 <fur> 8
124.18 <furies> 1
124.19 <furious> 6
124.20 <furnace> 4
124.21 <furnaces> 3
124.22 <furnarius> 2
124.23 <furnished> 8
124.24 <furniture> 4
124.25 <furrowed> 2
124.26 <furrows> 3
124.27 <further> 37
124.28 <furthest> 3
124.29 <fury> 7
124.30 <fused> 2
124.31 <fusibility> 2
124.32 <futur> 2
124.33 <future> 19
124.34 <g> 2
124.35 <gabbled> 2
124.36 <gaiety> 2
124.37 <gaimard> 1
124.38 <gain> 10
124.39 <gained> 17
124.40 <gaining> 1
124.41 <gains> 3
-----------  cluster 125 is a word count cluster --------
125.0 <gait> 3
125.1 <galapageian> 10
125.2 <galapagoensis> 3
125.3 <galapagos> 25
125.4 <gale> 21
125.5 <gales> 11
125.6 <gallant> 1
125.7 <gallegos> 2
125.8 <gallinaceous> 2
125.9 <gallinazo> 8
125.10 <gallinazos> 1
125.11 <gallon> 1
125.12 <gallons> 1
125.13 <gallop> 18
125.14 <galloped> 3
125.15 <galloping> 4
125.16 <galvanism> 2
125.17 <gambier> 1
125.18 <gambling> 3
125.19 <game> 7
125.20 <gander> 1
125.21 <ganges> 1
125.22 <gangs> 1
125.23 <gannet> 1
125.24 <gannets> 2
125.25 <gap> 1
125.26 <gaping> 1
125.27 <gaps> 1
125.28 <garde> 1
125.29 <garden> 10
125.30 <gardener> 1
125.31 <gardens> 24
125.32 <garment> 1
125.33 <garments> 3
125.34 <garters> 2
125.35 <gas> 1
125.36 <gateway> 4
125.37 <gateways> 1
125.38 <gathered> 1
125.39 <gathering> 3
125.40 <gato> 1
125.41 <gauch> 1
-----------  cluster 126 is a word count cluster --------
126.0 <gaucho> 26
126.1 <gauchos> 48
126.2 <gaudy> 3
126.3 <gauze> 2
126.4 <gave> 47
126.5 <gavia> 1
126.6 <gay> 7
126.7 <gayest> 1
126.8 <gaze> 4
126.9 <gazelle> 1
126.10 <gazelles> 1
126.11 <gazette> 1
126.12 <gazing> 1
126.13 <gear> 5
126.14 <geese> 7
126.15 <gelatinous> 5
126.16 <gemmules> 1
126.17 <genealogist> 1
126.18 <genera> 36
126.19 <general> 120
126.20 <generality> 1
126.21 <generalization> 1
126.22 <generally> 158
126.23 <generals> 4
126.24 <generate> 1
126.25 <generated> 5
126.26 <generations> 1
126.27 <generous> 1
126.28 <generously> 1
126.29 <geneva> 2
126.30 <gentle> 7
126.31 <gentlema> 1
126.32 <gentleman> 14
126.33 <gentlemanlike> 1
126.34 <gentlemen> 6
126.35 <gently> 11
126.36 <genus> 51
126.37 <geoffroy> 1
126.38 <geograph> 3
126.39 <geographer> 1
126.40 <geographica> 1
126.41 <geographical> 19
-----------  cluster 127 is a word count cluster --------
127.0 <geography> 3
127.1 <geolog> 1
127.2 <geological> 37
127.3 <geologically> 3
127.4 <geologicas> 1
127.5 <geologist> 9
127.6 <geologists> 8
127.7 <geologize> 1
127.8 <geologizing> 2
127.9 <geology> 27
127.10 <geometrical> 1
127.11 <george> 7
127.12 <georgia> 2
127.13 <geospiza> 7
127.14 <geraniums> 1
127.15 <german> 4
127.16 <germany> 2
127.17 <germinating> 2
127.18 <germs> 1
127.19 <gervais> 1
127.20 <gesticulations> 1
127.21 <gestures> 4
127.22 <get> 31
127.23 <gets> 1
127.24 <getting> 4
127.25 <giant> 5
127.26 <giants> 3
127.27 <giddy> 4
127.28 <gift> 1
127.29 <gifts> 1
127.30 <gigantea> 2
127.31 <gigantic> 27
127.32 <gigas> 1
127.33 <gilded> 1
127.34 <gilding> 1
127.35 <gill> 4
127.36 <gillies> 2
127.37 <gimlet> 1
127.38 <gipsy> 1
127.39 <giraffe> 4
127.40 <giraffes> 1
127.41 <girl> 5
-----------  cluster 128 is a word count cluster --------
128.0 <girls> 2
128.1 <girt> 1
128.2 <girth> 5
128.3 <girths> 1
128.4 <give> 63
128.5 <given> 71
128.6 <gives> 21
128.7 <giving> 25
128.8 <gizzard> 3
128.9 <glacier> 8
128.10 <glaciers> 18
128.11 <glad> 20
128.12 <gladly> 4
128.13 <glance> 8
128.14 <glare> 3
128.15 <glaring> 2
128.16 <glaringly> 1
128.17 <glass> 16
128.18 <glassy> 2
128.19 <glazed> 4
128.20 <gleam> 2
128.21 <gleaming> 1
128.22 <glide> 2
128.23 <glided> 2
128.24 <glides> 2
128.25 <gliding> 2
128.26 <glimpse> 2
128.27 <glimpses> 7
128.28 <glistened> 1
128.29 <glitter> 1
128.30 <glittered> 2
128.31 <glittering> 5
128.32 <globe> 11
128.33 <globular> 3
128.34 <globules> 2
128.35 <gloom> 1
128.36 <gloominess> 1
128.37 <gloomy> 23
128.38 <glories> 2
128.39 <glorious> 5
128.40 <gloss> 1
128.41 <glossy> 9
-----------  cluster 129 is a word count cluster --------
129.0 <gloves> 1
129.1 <glowed> 1
129.2 <glowing> 5
129.3 <glowworm> 2
129.4 <glowworms> 1
129.5 <glue> 1
129.6 <gnawed> 1
129.7 <gnawer> 3
129.8 <gnawers> 4
129.9 <gnawing> 5
129.10 <gneiss> 1
129.11 <gnus> 1
129.12 <go> 36
129.13 <goad> 1
129.14 <goal> 1
129.15 <goat> 2
129.16 <goatherd> 1
129.17 <goats> 11
129.18 <goatsucker> 1
129.19 <god> 7
129.20 <godmother> 1
129.21 <gods> 1
129.22 <goeree> 3
129.23 <goes> 6
129.24 <going> 22
129.25 <goitre> 1
129.26 <gold> 19
129.27 <gomez> 1
129.28 <gone> 9
129.29 <gonzales> 2
129.30 <goo> 1
129.31 <good> 160
129.32 <goods> 3
129.33 <goose> 4
129.34 <gooseberries> 1
129.35 <gorda> 5
129.36 <gore> 2
129.37 <gorge> 4
129.38 <gorged> 4
129.39 <gorgeous> 1
129.40 <gorges> 3
129.41 <gorse> 3
-----------  cluster 130 is an index cluster --------
130.0 <gospel> 131
130.1 <granular> 132
130.2 <green> 133
130.3 <guanaco> 134
130.4 <guns> 135
130.5 <halting> 136
130.6 <hardly> 137
130.7 <hawks> 138
130.8 <heavens> 139
130.9 <heresy> 140
130.10 <hinted> 141
130.11 <hombre> 142
130.12 <horseman> 143
130.13 <huacas> 144
130.14 <hurries> 145
130.15 <iceland> 146
130.16 <imagining> 147
130.17 <importation> 148
130.18 <incalculable> 149
130.19 <indemnity> 150
130.20 <induced> 151
130.21 <influence> 152
130.22 <injury> 153
130.23 <instant> 154
130.24 <interesting> 155
130.25 <intoxicating> 156
130.26 <irish> 157
130.27 <j> 158
130.28 <john> 159
130.29 <junk> 160
130.30 <kindness> 161
130.31 <labours> 162
130.32 <lanes> 163
130.33 <laughed> 164
130.34 <leaping> 165
130.35 <lessened> 166
130.36 <lieut> 167
130.37 <limnaea> 168
130.38 <llama> 169
130.39 <loo> 170
130.40 <luciano> 171
130.41 <maclaren> 172
-----------  cluster 131 is a word count cluster --------
131.0 <gospel> 1
131.1 <gossamer> 3
131.2 <got> 22
131.3 <gould> 7
131.4 <gourmands> 1
131.5 <governed> 4
131.6 <governing> 1
131.7 <government> 41
131.8 <governments> 1
131.9 <governor> 22
131.10 <governors> 2
131.11 <govett> 1
131.12 <gown> 1
131.13 <grace> 2
131.14 <graceful> 5
131.15 <gracefully> 2
131.16 <graciousness> 1
131.17 <gradation> 2
131.18 <gradations> 1
131.19 <grade> 4
131.20 <grades> 2
131.21 <gradual> 19
131.22 <gradually> 17
131.23 <graduated> 3
131.24 <grafted> 1
131.25 <grafts> 1
131.26 <grain> 1
131.27 <grains> 4
131.28 <gran> 3
131.29 <granaries> 1
131.30 <grand> 43
131.31 <grande> 4
131.32 <grander> 5
131.33 <grandest> 2
131.34 <grandeur> 11
131.35 <grandeurs> 1
131.36 <grandiflorus> 1
131.37 <grandmothers> 1
131.38 <granite> 24
131.39 <granitic> 11
131.40 <grant> 3
131.41 <granted> 3
-----------  cluster 132 is a word count cluster --------
132.0 <granular> 6
132.1 <granulo> 1
132.2 <grape> 1
132.3 <grapes> 6
132.4 <grasp> 1
132.5 <grasping> 1
132.6 <graspus> 1
132.7 <grass> 49
132.8 <grasses> 8
132.9 <grasshopper> 2
132.10 <grasshoppers> 4
132.11 <grassy> 12
132.12 <grated> 1
132.13 <grateful> 3
132.14 <gratefully> 1
132.15 <gratification> 1
132.16 <gratified> 2
132.17 <gratifying> 1
132.18 <grating> 2
132.19 <gratitude> 3
132.20 <grave> 13
132.21 <gravel> 22
132.22 <gravelly> 2
132.23 <gravely> 3
132.24 <graves> 1
132.25 <gravity> 7
132.26 <gravy> 1
132.27 <gray> 1
132.28 <graze> 4
132.29 <grazed> 1
132.30 <grazing> 9
132.31 <grea> 3
132.32 <greasy> 2
132.33 <great> 517
132.34 <greater> 107
132.35 <greatest> 20
132.36 <greatl> 1
132.37 <greatly> 15
132.38 <greatness> 2
132.39 <grecian> 1
132.40 <greedily> 1
132.41 <greek> 1
-----------  cluster 133 is a word count cluster --------
133.0 <green> 95
133.1 <greener> 4
133.2 <greenland> 1
133.3 <greenstone> 8
133.4 <gregarious> 9
133.5 <gregory> 5
133.6 <grew> 9
133.7 <grey> 10
133.8 <greyhound> 1
133.9 <greyhounds> 1
133.10 <grievances> 2
133.11 <grievous> 2
133.12 <grimaces> 1
133.13 <grind> 2
133.14 <grinding> 4
133.15 <groan> 1
133.16 <groove> 1
133.17 <grooves> 1
133.18 <grooving> 1
133.19 <grose> 2
133.20 <grossest> 1
133.21 <grottoes> 1
133.22 <ground> 171
133.23 <grounded> 1
133.24 <group> 46
133.25 <grouped> 2
133.26 <grouping> 2
133.27 <groups> 19
133.28 <grove> 1
133.29 <groves> 7
133.30 <grow> 32
133.31 <groweth> 1
133.32 <growin> 1
133.33 <growing> 31
133.34 <grown> 23
133.35 <grows> 21
133.36 <growth> 33
133.37 <grudge> 1
133.38 <gruffly> 1
133.39 <grunt> 4
133.40 <grunts> 1
133.41 <gryllus> 2
-----------  cluster 134 is a word count cluster --------
134.0 <guanaco> 25
134.1 <guanacos> 15
134.2 <guano> 1
134.3 <guantajaya> 1
134.4 <guard> 2
134.5 <guarded> 5
134.6 <guardia> 4
134.7 <guarding> 1
134.8 <guasco> 15
134.9 <guascos> 1
134.10 <guaso> 6
134.11 <guasos> 1
134.12 <guava> 1
134.13 <guayaquil> 4
134.14 <guayatecas> 1
134.15 <guayavita> 2
134.16 <gucho> 1
134.17 <guess> 4
134.18 <guessed> 1
134.19 <guessing> 2
134.20 <guest> 1
134.21 <guests> 1
134.22 <guid> 6
134.23 <guide> 33
134.24 <guided> 2
134.25 <guides> 6
134.26 <guilandina> 1
134.27 <guilty> 1
134.28 <guinea> 2
134.29 <guitar> 1
134.30 <guitron> 2
134.31 <gulf> 7
134.32 <gull> 2
134.33 <gulleys> 1
134.34 <gullies> 3
134.35 <gulls> 4
134.36 <gully> 1
134.37 <gums> 1
134.38 <gumwood> 1
134.39 <gun> 9
134.40 <gunnera> 1
134.41 <gunpowder> 9
-----------  cluster 135 is a word count cluster --------
135.0 <guns> 3
135.1 <gunther> 1
135.2 <gunwale> 1
135.3 <gushed> 1
135.4 <gut> 4
135.5 <gutenberg> 22
135.6 <guttural> 2
135.7 <guyaquil> 1
135.8 <gypsum> 7
135.9 <h> 1
135.10 <ha> 5
135.11 <habit> 45
135.12 <habitable> 4
135.13 <habitation> 4
135.14 <habitations> 6
135.15 <habits> 90
135.16 <habitual> 2
135.17 <habitually> 2
135.18 <habituated> 1
135.19 <hachette> 1
135.20 <hacienda> 7
135.21 <haciendero> 1
135.22 <had> 702
135.23 <haggard> 1
135.24 <hail> 11
135.25 <hailed> 4
135.26 <hailing> 1
135.27 <hailstones> 1
135.28 <hair> 17
135.29 <hairless> 1
135.30 <hairs> 4
135.31 <hairy> 1
135.32 <half> 106
135.33 <halfpence> 1
135.34 <halfpenny> 1
135.35 <hall> 1
135.36 <hallo> 1
135.37 <halloo> 1
135.38 <hallooing> 1
135.39 <halt> 2
135.40 <halted> 1
135.41 <haltica> 1
-----------  cluster 136 is a word count cluster --------
136.0 <halting> 2
136.1 <halves> 3
136.2 <hamilton> 1
136.3 <hamlets> 2
136.4 <hamm> 4
136.5 <hammer> 4
136.6 <hammering> 1
136.7 <hammond> 1
136.8 <hamstrings> 1
136.9 <hand> 77
136.10 <hande> 1
136.11 <handed> 3
136.12 <handful> 1
136.13 <handkerchief> 3
136.14 <handkerchiefs> 2
136.15 <handle> 1
136.16 <handled> 2
136.17 <hands> 24
136.18 <handsome> 2
136.19 <handsomest> 2
136.20 <hang> 2
136.21 <hanging> 7
136.22 <hangs> 3
136.23 <happen> 10
136.24 <happened> 27
136.25 <happening> 1
136.26 <happens> 10
136.27 <happier> 1
136.28 <happiness> 4
136.29 <happy> 9
136.30 <harangue> 1
136.31 <harangued> 1
136.32 <harassed> 2
136.33 <harassing> 1
136.34 <harbinger> 1
136.35 <harbour> 46
136.36 <harbouring> 1
136.37 <harbours> 2
136.38 <hard> 48
136.39 <hardened> 6
136.40 <harder> 4
136.41 <hardest> 3
-----------  cluster 137 is a word count cluster --------
137.0 <hardly> 43
137.1 <hardness> 3
137.2 <hardship> 1
137.3 <hardy> 1
137.4 <hare> 10
137.5 <hares> 2
137.6 <harm> 1
137.7 <harmattan> 1
137.8 <harmless> 5
137.9 <harmonious> 3
137.10 <harmony> 2
137.11 <harpalidae> 4
137.12 <harpalus> 1
137.13 <harris> 1
137.14 <harsh> 13
137.15 <hart> 3
137.16 <harvest> 4
137.17 <has> 483
137.18 <hassan> 1
137.19 <haste> 1
137.20 <hastened> 2
137.21 <hastily> 1
137.22 <hat> 5
137.23 <hatch> 2
137.24 <hatched> 4
137.25 <hatches> 1
137.26 <hatchet> 1
137.27 <hatchings> 1
137.28 <hate> 2
137.29 <hated> 1
137.30 <hatred> 1
137.31 <hats> 2
137.32 <hauled> 3
137.33 <haunches> 2
137.34 <haunt> 5
137.35 <haunts> 3
137.36 <hav> 5
137.37 <have> 1093
137.38 <having> 213
137.39 <havoc> 2
137.40 <hawfinch> 1
137.41 <hawk> 4
-----------  cluster 138 is a word count cluster --------
138.0 <hawks> 14
138.1 <hay> 5
138.2 <haycock> 1
138.3 <hayes> 1
138.4 <hazard> 2
138.5 <hazardous> 3
138.6 <haze> 5
138.7 <hazy> 5
138.8 <he> 568
138.9 <hea> 5
138.10 <head> 149
138.11 <headache> 2
138.12 <headed> 1
138.13 <header> 1
138.14 <headland> 3
138.15 <headlands> 2
138.16 <headlong> 1
138.17 <headmost> 1
138.18 <heads> 31
138.19 <health> 5
138.20 <healthiness> 1
138.21 <healthy> 10
138.22 <heap> 8
138.23 <heaped> 8
138.24 <heaping> 1
138.25 <heaps> 10
138.26 <hear> 23
138.27 <heard> 102
138.28 <hearing> 5
138.29 <hearne> 1
138.30 <hears> 2
138.31 <heart> 5
138.32 <hearted> 3
138.33 <heartily> 4
138.34 <hearty> 2
138.35 <heat> 25
138.36 <heated> 9
138.37 <heath> 2
138.38 <heathen> 1
138.39 <heav> 1
138.40 <heave> 1
138.41 <heaven> 4
-----------  cluster 139 is a word count cluster --------
139.0 <heavens> 6
139.1 <heavily> 13
139.2 <heaviness> 1
139.3 <heaving> 4
139.4 <heavy> 50
139.5 <hecla> 1
139.6 <hectoring> 1
139.7 <hedge> 5
139.8 <hedgehog> 1
139.9 <hedges> 8
139.10 <heeled> 1
139.11 <heels> 4
139.12 <heigh> 2
139.13 <height> 118
139.14 <heightened> 1
139.15 <heightens> 1
139.16 <heights> 9
139.17 <held> 18
139.18 <helena> 18
139.19 <helix> 2
139.20 <helm> 1
139.21 <help> 9
139.22 <helped> 1
139.23 <helping> 1
139.24 <helpless> 3
139.25 <hemiptera> 2
139.26 <hemisphere> 23
139.27 <hemmed> 2
139.28 <hen> 8
139.29 <hence> 87
139.30 <hens> 3
139.31 <henslow> 6
139.32 <her> 72
139.33 <heraldic> 1
139.34 <herbage> 6
139.35 <herbarium> 1
139.36 <herbivorous> 8
139.37 <herd> 16
139.38 <herds> 20
139.39 <here> 288
139.40 <hereafter> 6
139.41 <hereditary> 7
-----------  cluster 140 is a word count cluster --------
140.0 <heresy> 2
140.1 <heretick> 1
140.2 <hereticks> 1
140.3 <heretics> 2
140.4 <hermit> 2
140.5 <herons> 1
140.6 <herschel> 1
140.7 <herself> 3
140.8 <hesitate> 2
140.9 <hesitated> 1
140.10 <heteromera> 3
140.11 <heteromerous> 1
140.12 <heteromidae> 1
140.13 <hibiscus> 1
140.14 <hid> 3
140.15 <hidden> 12
140.16 <hide> 12
140.17 <hideous> 8
140.18 <hideousness> 2
140.19 <hides> 9
140.20 <hieroglyphics> 1
140.21 <higgins> 1
140.22 <high> 140
140.23 <higher> 43
140.24 <highest> 29
140.25 <highl> 1
140.26 <highly> 31
140.27 <highroad> 1
140.28 <hilaire> 1
140.29 <hill> 60
140.30 <hillock> 5
140.31 <hillocks> 12
140.32 <hills> 68
140.33 <hillsides> 1
140.34 <hilly> 7
140.35 <him> 150
140.36 <himantopus> 1
140.37 <himself> 43
140.38 <hind> 13
140.39 <hinder> 5
140.40 <hindoos> 1
140.41 <hinds> 1
-----------  cluster 141 is a word count cluster --------
141.0 <hinted> 1
141.1 <hippah> 1
141.2 <hippahs> 1
141.3 <hippopotamus> 3
141.4 <hippopotamuses> 1
141.5 <hire> 1
141.6 <hired> 9
141.7 <his> 478
141.8 <hiss> 3
141.9 <hissing> 1
141.10 <hist> 10
141.11 <histoire> 1
141.12 <historical> 2
141.13 <historically> 1
141.14 <history> 34
141.15 <hitched> 1
141.16 <hitches> 1
141.17 <hitherto> 2
141.18 <hitting> 1
141.19 <hoarse> 3
141.20 <hoary> 1
141.21 <hobart> 3
141.22 <hoffmanseggi> 1
141.23 <hog> 3
141.24 <hogoleu> 1
141.25 <hogs> 2
141.26 <hoist> 1
141.27 <hoisted> 1
141.28 <hold> 21
141.29 <holding> 6
141.30 <holds> 6
141.31 <hole> 20
141.32 <holes> 15
141.33 <holiday> 1
141.34 <holland> 4
141.35 <hollies> 1
141.36 <hollow> 14
141.37 <hollowed> 5
141.38 <hollows> 4
141.39 <holman> 2
141.40 <holuthuriae> 3
141.41 <holy> 1
-----------  cluster 142 is a word count cluster --------
142.0 <hombre> 1
142.1 <home> 25
142.2 <homeward> 2
142.3 <homewards> 1
142.4 <homoptera> 1
142.5 <honest> 5
142.6 <honey> 3
142.7 <honeysuckle> 1
142.8 <honor> 1
142.9 <honour> 5
142.10 <honourable> 1
142.11 <hood> 4
142.12 <hoofs> 4
142.13 <hook> 2
142.14 <hooker> 11
142.15 <hoop> 1
142.16 <hooting> 1
142.17 <hope> 23
142.18 <hoped> 3
142.19 <hopeless> 2
142.20 <hopes> 8
142.21 <hopped> 1
142.22 <hopping> 3
142.23 <hops> 5
142.24 <horizon> 20
142.25 <horizonta> 1
142.26 <horizontal> 11
142.27 <horizontally> 6
142.28 <horn> 20
142.29 <horned> 6
142.30 <horner> 1
142.31 <hornos> 1
142.32 <horns> 6
142.33 <horny> 1
142.34 <horrible> 2
142.35 <horrid> 5
142.36 <horrified> 1
142.37 <horror> 6
142.38 <horse> 128
142.39 <horseback> 18
142.40 <horsecloths> 3
142.41 <horsefly> 1
-----------  cluster 143 is a word count cluster --------
143.0 <horseman> 2
143.1 <horsemanship> 2
143.2 <horsemen> 2
143.3 <horses> 138
143.4 <horticultural> 2
143.5 <hospitable> 9
143.6 <hospital> 1
143.7 <hospitality> 10
143.8 <host> 11
143.9 <hostages> 1
143.10 <hoste> 1
143.11 <hostess> 1
143.12 <hostile> 7
143.13 <hostilities> 1
143.14 <hostility> 1
143.15 <hosts> 1
143.16 <hot> 33
143.17 <hothouse> 3
143.18 <hottentot> 1
143.19 <hottentots> 1
143.20 <hotter> 4
143.21 <hottest> 4
143.22 <hou> 1
143.23 <hound> 1
143.24 <hounds> 1
143.25 <hour> 40
143.26 <hourly> 1
143.27 <hours> 40
143.28 <house> 95
143.29 <housebuilder> 1
143.30 <household> 1
143.31 <housemaker> 1
143.32 <houses> 74
143.33 <hove> 1
143.34 <hovel> 16
143.35 <hovels> 10
143.36 <hovering> 5
143.37 <hovers> 1
143.38 <how> 166
143.39 <howeve> 1
143.40 <however> 186
143.41 <howling> 2
-----------  cluster 144 is a word count cluster --------
144.0 <huacas> 2
144.1 <huachos> 4
144.2 <huantamo> 2
144.3 <huapi> 1
144.4 <huaraz> 1
144.5 <huddled> 2
144.6 <huechucucuy> 1
144.7 <hug> 1
144.8 <huge> 28
144.9 <huitreu> 1
144.10 <humain> 1
144.11 <humaine> 1
144.12 <human> 14
144.13 <humanity> 2
144.14 <humans> 1
144.15 <humble> 8
144.16 <humbled> 1
144.17 <humblest> 2
144.18 <humboldt> 22
144.19 <humid> 10
144.20 <humidity> 1
144.21 <humiliating> 2
144.22 <humility> 1
144.23 <humming> 6
144.24 <hummingbirds> 1
144.25 <hummocks> 1
144.26 <humoured> 6
144.27 <hundred> 143
144.28 <hundreds> 16
144.29 <hung> 4
144.30 <hunger> 6
144.31 <hungry> 3
144.32 <hunt> 10
144.33 <hunted> 2
144.34 <hunter> 1
144.35 <hunters> 1
144.36 <hunting> 27
144.37 <huntsman> 1
144.38 <huntsmen> 1
144.39 <hurled> 6
144.40 <hurricane> 1
144.41 <hurried> 5
-----------  cluster 145 is a word count cluster --------
145.0 <hurries> 1
145.1 <hurry> 4
145.2 <hurrying> 1
145.3 <hurt> 2
145.4 <hurtado> 1
145.5 <husband> 4
145.6 <husk> 3
145.7 <hut> 1
145.8 <huts> 6
145.9 <hutton> 1
145.10 <hyacinth> 1
145.11 <hyaena> 1
145.12 <hybernating> 1
145.13 <hybernation> 3
145.14 <hybrid> 1
145.15 <hybrida> 1
145.16 <hydra> 1
145.17 <hydraulic> 1
145.18 <hydrobius> 1
145.19 <hydrochaerus> 2
145.20 <hydrographer> 1
145.21 <hydrophilidae> 1
145.22 <hydrophilus> 1
145.23 <hydrophobia> 6
145.24 <hydroporus> 1
145.25 <hygrometer> 1
145.26 <hyla> 2
145.27 <hymenophallus> 1
145.28 <hymenoptera> 6
145.29 <hymenopterous> 1
145.30 <hymn> 2
145.31 <hymns> 1
145.32 <hypertext> 2
145.33 <hypotheses> 1
145.34 <hypothesis> 1
145.35 <i> 1836
145.36 <iagoensis> 1
145.37 <ibis> 1
145.38 <ica> 1
145.39 <ice> 22
145.40 <iceberg> 1
145.41 <icebergs> 19
-----------  cluster 146 is a word count cluster --------
146.0 <iceland> 2
146.1 <icterus> 1
146.2 <icy> 4
146.3 <ide> 1
146.4 <idea> 47
146.5 <ideas> 10
146.6 <identical> 12
146.7 <identification> 1
146.8 <identify> 1
146.9 <idle> 2
146.10 <idolatrous> 1
146.11 <if> 322
146.12 <igneous> 2
146.13 <ignited> 2
146.14 <igniting> 1
146.15 <ignorance> 3
146.16 <ignorant> 4
146.17 <iguana> 2
146.18 <ii> 19
146.19 <iii> 5
146.20 <il> 1
146.21 <iles> 2
146.22 <ill> 14
146.23 <illapel> 1
146.24 <illig> 1
146.25 <illimitable> 1
146.26 <illness> 2
146.27 <illuminate> 1
146.28 <illuminated> 2
146.29 <illumined> 4
146.30 <illusion> 1
146.31 <illustrated> 4
146.32 <illustrates> 1
146.33 <illustration> 4
146.34 <illustrations> 2
146.35 <illustrious> 2
146.36 <ils> 1
146.37 <images> 2
146.38 <imaginable> 2
146.39 <imagination> 10
146.40 <imagine> 33
146.41 <imagined> 20
-----------  cluster 147 is a word count cluster --------
147.0 <imagining> 2
147.1 <imbedded> 2
147.2 <imbued> 1
147.3 <imitate> 4
147.4 <imitated> 3
147.5 <imitating> 2
147.6 <imitation> 3
147.7 <immature> 1
147.8 <immediate> 10
147.9 <immediately> 44
147.10 <immense> 36
147.11 <immensely> 4
147.12 <immensity> 3
147.13 <immensus> 1
147.14 <immersed> 2
147.15 <immigrants> 2
147.16 <imminent> 1
147.17 <immorality> 1
147.18 <immovability> 1
147.19 <immutability> 1
147.20 <immutable> 1
147.21 <impalpable> 5
147.22 <impalpably> 1
147.23 <impassable> 11
147.24 <impending> 1
147.25 <impenetrable> 10
147.26 <imperceptibly> 2
147.27 <imperfect> 7
147.28 <imperfectly> 3
147.29 <imperial> 1
147.30 <impertinent> 1
147.31 <imperturbable> 1
147.32 <impervious> 4
147.33 <impetuosity> 1
147.34 <impetuous> 7
147.35 <impious> 1
147.36 <implement> 1
147.37 <implied> 3
147.38 <implies> 1
147.39 <imply> 1
147.40 <importance> 7
147.41 <important> 15
-----------  cluster 148 is a word count cluster --------
148.0 <importation> 1
148.1 <imported> 21
148.2 <importing> 1
148.3 <imposing> 3
148.4 <impossibility> 1
148.5 <impossible> 35
148.6 <impracticability> 1
148.7 <impracticable> 4
148.8 <impregnable> 1
148.9 <impregnated> 1
148.10 <impress> 1
148.11 <impressed> 6
148.12 <impresses> 1
148.13 <impression> 8
148.14 <impressions> 7
148.15 <impressive> 3
148.16 <imprisoned> 2
148.17 <imprisonment> 1
148.18 <improbability> 1
148.19 <improbable> 16
148.20 <impromptu> 2
148.21 <improperly> 1
148.22 <improve> 2
148.23 <improved> 5
148.24 <improvement> 4
148.25 <improvements> 3
148.26 <improves> 1
148.27 <improving> 3
148.28 <impudence> 1
148.29 <impunity> 1
148.30 <impure> 3
148.31 <in> 4295
148.32 <inaccessible> 2
148.33 <inaccurate> 2
148.34 <inaccurately> 1
148.35 <inactive> 2
148.36 <inadmissible> 1
148.37 <inanimate> 3
148.38 <inapplicable> 1
148.39 <inappreciable> 1
148.40 <inasmuch> 4
148.41 <inauspicious> 1
-----------  cluster 149 is a word count cluster --------
149.0 <incalculable> 1
149.1 <incapable> 3
149.2 <incas> 7
149.3 <incased> 1
149.4 <incessant> 2
149.5 <incessantly> 1
149.6 <inch> 34
149.7 <inches> 30
149.8 <incidental> 1
149.9 <incisions> 1
149.10 <inclination> 7
149.11 <inclined> 22
149.12 <include> 3
149.13 <included> 19
149.14 <includes> 6
149.15 <including> 29
149.16 <incognita> 1
149.17 <income> 1
149.18 <incomparably> 3
149.19 <incomplete> 1
149.20 <inconceivable> 1
149.21 <inconsiderable> 6
149.22 <inconsolable> 1
149.23 <inconvenience> 2
149.24 <inconvenient> 1
149.25 <incorrect> 2
149.26 <incorrectly> 1
149.27 <increase> 23
149.28 <increased> 22
149.29 <increases> 2
149.30 <increasing> 2
149.31 <incrustation> 5
149.32 <incrustations> 3
149.33 <incrusted> 6
149.34 <incubation> 4
149.35 <incumbrance> 1
149.36 <indebted> 10
149.37 <indeed> 39
149.38 <indefatigable> 2
149.39 <indefinite> 2
149.40 <indefinitely> 2
149.41 <indemnify> 1
-----------  cluster 150 is a word count cluster --------
150.0 <indemnity> 1
150.1 <indented> 3
150.2 <independence> 5
150.3 <independent> 7
150.4 <independently> 6
150.5 <indescribable> 1
150.6 <indestructible> 1
150.7 <index> 1
150.8 <india> 10
150.9 <indian> 100
150.10 <indians> 151
150.11 <indica> 1
150.12 <indicate> 12
150.13 <indicated> 1
150.14 <indicates> 1
150.15 <indies> 15
150.16 <indifference> 4
150.17 <indifferent> 4
150.18 <indifferently> 4
150.19 <indigenous> 10
150.20 <indignantly> 1
150.21 <indignity> 1
150.22 <indigo> 2
150.23 <indios> 1
150.24 <indirect> 4
150.25 <indirectly> 1
150.26 <indiscreet> 1
150.27 <indiscriminately> 2
150.28 <indisputably> 1
150.29 <indistinct> 6
150.30 <indistinctly> 1
150.31 <individua> 1
150.32 <individual> 26
150.33 <individuality> 2
150.34 <individually> 1
150.35 <individuals> 18
150.36 <indo> 3
150.37 <indolence> 1
150.38 <indolent> 1
150.39 <indoor> 1
150.40 <indubitable> 1
150.41 <induce> 2
-----------  cluster 151 is a word count cluster --------
151.0 <induced> 9
151.1 <inducement> 1
151.2 <indulged> 1
151.3 <indurated> 1
151.4 <industrie> 1
151.5 <industrious> 2
151.6 <industriously> 1
151.7 <industry> 2
151.8 <inefficiency> 1
151.9 <inefficient> 2
151.10 <inelegance> 1
151.11 <inequalities> 3
151.12 <inequality> 4
151.13 <inermis> 1
151.14 <inert> 1
151.15 <inevitable> 1
151.16 <inevitably> 2
151.17 <inexhaustible> 1
151.18 <inexplicable> 6
151.19 <inexpressible> 1
151.20 <infamous> 1
151.21 <infancy> 3
151.22 <infant> 1
151.23 <infanticide> 2
151.24 <infatuation> 1
151.25 <infection> 1
151.26 <infer> 4
151.27 <inference> 3
151.28 <inferior> 8
151.29 <inferiority> 1
151.30 <inferred> 5
151.31 <infested> 1
151.32 <infinite> 6
151.33 <infinitely> 5
151.34 <infinity> 2
151.35 <inflamed> 1
151.36 <inflammation> 2
151.37 <inflation> 2
151.38 <inflexam> 1
151.39 <inflexibility> 1
151.40 <inflexible> 1
151.41 <inflicted> 3
-----------  cluster 152 is a word count cluster --------
152.0 <influence> 3
152.1 <influenced> 2
152.2 <inform> 2
152.3 <information> 16
152.4 <informed> 20
152.5 <informer> 5
152.6 <informs> 28
152.7 <infrequency> 1
152.8 <infringement> 1
152.9 <infusoria> 16
152.10 <infusorial> 2
152.11 <ingenio> 2
152.12 <ingenious> 1
152.13 <ingenuity> 2
152.14 <ingleses> 1
152.15 <ingratiated> 1
152.16 <ingratitude> 1
152.17 <inhabit> 22
152.18 <inhabitant> 7
152.19 <inhabitants> 150
152.20 <inhabited> 33
152.21 <inhabiting> 8
152.22 <inhabits> 8
152.23 <inhaled> 1
152.24 <inharmonious> 1
152.25 <inherent> 1
152.26 <inherit> 1
152.27 <inherited> 1
152.28 <inhospitable> 4
152.29 <inhospitality> 1
152.30 <inhuman> 1
152.31 <inhumanity> 1
152.32 <injected> 5
152.33 <injection> 4
152.34 <injections> 1
152.35 <injunction> 1
152.36 <injure> 5
152.37 <injured> 10
152.38 <injures> 1
152.39 <injuries> 1
152.40 <injuring> 1
152.41 <injurious> 1
-----------  cluster 153 is a word count cluster --------
153.0 <injury> 4
153.1 <ink> 3
153.2 <inland> 24
153.3 <inlets> 2
153.4 <inmate> 1
153.5 <inmates> 1
153.6 <inn> 4
153.7 <inner> 6
153.8 <innocent> 1
153.9 <innocuous> 1
153.10 <innombrable> 1
153.11 <inns> 2
153.12 <innumerable> 11
153.13 <inoffensive> 2
153.14 <inorganic> 1
153.15 <inquire> 1
153.16 <inquired> 1
153.17 <inquirers> 1
153.18 <inquiries> 2
153.19 <inquiry> 3
153.20 <inquisition> 1
153.21 <inquisitive> 2
153.22 <inroad> 1
153.23 <inroads> 2
153.24 <insane> 1
153.25 <insatiable> 1
153.26 <insect> 24
153.27 <insects> 62
153.28 <insecurity> 1
153.29 <insensible> 3
153.30 <insensibly> 5
153.31 <inserted> 1
153.32 <inside> 4
153.33 <insight> 1
153.34 <insignificance> 2
153.35 <insignificant> 10
153.36 <insipid> 1
153.37 <insisted> 1
153.38 <inspecting> 1
153.39 <inspired> 2
153.40 <instance> 41
153.41 <instances> 6
-----------  cluster 154 is a word count cluster --------
154.0 <instant> 14
154.1 <instantaneous> 1
154.2 <instantaneously> 2
154.3 <instantly> 11
154.4 <instea> 1
154.5 <instead> 49
154.6 <instigated> 1
154.7 <instinct> 10
154.8 <instinctive> 1
154.9 <instinctively> 1
154.10 <instincts> 2
154.11 <institut> 3
154.12 <institutions> 1
154.13 <instruct> 1
154.14 <instructive> 1
154.15 <instrument> 5
154.16 <instruments> 4
154.17 <insular> 1
154.18 <insulated> 1
154.19 <insuperable> 3
154.20 <intellect> 1
154.21 <intellectual> 2
154.22 <intelligence> 3
154.23 <intelligent> 6
154.24 <intelligible> 3
154.25 <intemperance> 2
154.26 <intended> 11
154.27 <intense> 4
154.28 <intensity> 1
154.29 <intention> 5
154.30 <intentionally> 1
154.31 <intently> 4
154.32 <inter> 1
154.33 <intercalated> 2
154.34 <intercept> 1
154.35 <intercepted> 2
154.36 <intercepts> 1
154.37 <interchanged> 1
154.38 <intercourse> 2
154.39 <interest> 32
154.40 <interested> 15
154.41 <interestin> 2
-----------  cluster 155 is a word count cluster --------
155.0 <interesting> 62
155.1 <interfere> 1
155.2 <interfered> 1
155.3 <interior> 25
155.4 <interlopers> 1
155.5 <intermarriages> 1
155.6 <intermediate> 17
155.7 <intermittent> 1
155.8 <internal> 6
155.9 <internally> 2
155.10 <international> 1
155.11 <internet> 4
155.12 <interpret> 1
155.13 <interpretation> 1
155.14 <interpreted> 1
155.15 <interpreter> 1
155.16 <interrupted> 3
155.17 <intersect> 1
155.18 <intersected> 4
155.19 <intersecting> 3
155.20 <intersection> 1
155.21 <interspersed> 9
155.22 <interstices> 1
155.23 <interstratified> 1
155.24 <intertropical> 11
155.25 <intertwined> 1
155.26 <interval> 11
155.27 <intervals> 19
155.28 <intervening> 3
155.29 <interview> 4
155.30 <interwoven> 1
155.31 <intestinal> 1
155.32 <intestines> 3
155.33 <intimate> 3
155.34 <intimated> 1
155.35 <intimately> 10
155.36 <into> 314
155.37 <intolerable> 2
155.38 <intolerably> 2
155.39 <intombed> 1
155.40 <intonations> 1
155.41 <intoxicated> 1
-----------  cluster 156 is a word count cluster --------
156.0 <intoxicating> 1
156.1 <intrepid> 1
156.2 <intricate> 9
156.3 <introduce> 2
156.4 <introduced> 18
156.5 <introducing> 1
156.6 <introduction> 24
156.7 <introductory> 1
156.8 <intruder> 2
156.9 <intwined> 2
156.10 <intwining> 1
156.11 <inundated> 2
156.12 <inundations> 1
156.13 <inutility> 1
156.14 <invaders> 3
156.15 <invalids> 1
156.16 <invaluable> 2
156.17 <invariable> 1
156.18 <invariably> 27
156.19 <invasion> 1
156.20 <inveighed> 1
156.21 <invencion> 1
156.22 <invent> 1
156.23 <invented> 1
156.24 <invertebrate> 1
156.25 <inverted> 2
156.26 <investigate> 1
156.27 <investigation> 1
156.28 <invincible> 1
156.29 <invisible> 3
156.30 <invite> 1
156.31 <invited> 4
156.32 <inviting> 1
156.33 <involuntary> 1
156.34 <involved> 3
156.35 <inwards> 2
156.36 <iodic> 1
156.37 <ionic> 1
156.38 <iquique> 8
156.39 <ireland> 5
156.40 <iridescent> 1
156.41 <iris> 1
-----------  cluster 157 is a word count cluster --------
157.0 <irish> 1
157.1 <irksome> 1
157.2 <iron> 12
157.3 <irony> 1
157.4 <irreclaimable> 1
157.5 <irregular> 31
157.6 <irregularities> 1
157.7 <irregularity> 2
157.8 <irregularly> 5
157.9 <irresistible> 2
157.10 <irresistibly> 1
157.11 <irretrievable> 1
157.12 <irrevocable> 1
157.13 <irrigate> 1
157.14 <irrigated> 6
157.15 <irrigating> 4
157.16 <irrigation> 6
157.17 <irritability> 3
157.18 <irritable> 1
157.19 <irritated> 3
157.20 <irritation> 3
157.21 <is> 2424
157.22 <isid> 1
157.23 <isidro> 1
157.24 <island> 271