This example is taken from the text mining chapter in http://mdsr-book.github.io/
See also the CRAN Task View on Natural Language processing https://cran.r-project.org/web/views/NaturalLanguageProcessing.html
and the tm package: https://cran.r-project.org/web/packages/tm/index.html
The text analytics with r for students of literature book may be a helpful resource http://www.springer.com/us/book/9783319031637
In retrospective, the tidytext package (https://cran.r-project.org/web/packages/tidytext/index.html) might have been a better approach to use (see http://tidytextmining.com/ for their companion book)
data(Macbeth_raw)
# strsplit returns a list: we only want the first element
macbeth <- strsplit(Macbeth_raw, "\r\n")[[1]]
length(macbeth)## [1] 3193head(macbeth)## [1] "This Etext file is presented by Project Gutenberg, in"
## [2] "cooperation with World Library, Inc., from their Library of the"
## [3] "Future and Shakespeare CDROMS. Project Gutenberg often releases"
## [4] "Etexts that are NOT placed in the Public Domain!!"
## [5] ""
## [6] "*This Etext has certain copyright implications you should read!*"macbeth[300:310]## [1] "meeting a bleeding Sergeant."
## [2] ""
## [3] " DUNCAN. What bloody man is that? He can report,"
## [4] " As seemeth by his plight, of the revolt"
## [5] " The newest state."
## [6] " MALCOLM. This is the sergeant"
## [7] " Who like a good and hardy soldier fought"
## [8] " 'Gainst my captivity. Hail, brave friend!"
## [9] " Say to the King the knowledge of the broil"
## [10] " As thou didst leave it."
## [11] " SERGEANT. Doubtful it stood,"The grep() function works using a needle in a haystack paradigm, wherein the first argument is the regular expression (or pattern) you want to find (i.e., the needle) and the second argument is the character vector in which you want to find patterns (i.e., the haystack). Note that unless the argument value is set to TRUE, grep() returns the indices of the haystack in which the needles were found.
macbeth_lines <- grep(" MACBETH", macbeth, value = TRUE)
length(macbeth_lines)## [1] 147head(macbeth_lines)## [1] " MACBETH, Thane of Glamis and Cawdor, a general in the King's"
## [2] " MACBETH. So foul and fair a day I have not seen."
## [3] " MACBETH. Speak, if you can. What are you?"
## [4] " MACBETH. Stay, you imperfect speakers, tell me more."
## [5] " MACBETH. Into the air, and what seem'd corporal melted"
## [6] " MACBETH. Your children shall be kings."length(grep(" MACDUFF", macbeth))## [1] 60The grepl function uses the same syntax but returns a logical vector as long as the haystack. Thus, while the length of the vector returned by grep is the number of matches, the length of the vector returned by grepl is always the same as the length of the haystack vector.
length(grep(" MACBETH", macbeth))## [1] 147length(grepl(" MACBETH", macbeth))## [1] 3193However, both will subset the original vector in the same way, and thus in this respect they are functionally equivalent.
identical(macbeth[grep(" MACBETH", macbeth)],
macbeth[grepl(" MACBETH", macbeth)])## [1] TRUETo extract the piece of each matching line that actually matched, use the str_extract() function from the stringr package.
library(stringr)
pattern <- " MACBETH"
grep(pattern, macbeth, value = TRUE) %>%
str_extract(pattern) %>%
head()## [1] " MACBETH" " MACBETH" " MACBETH" " MACBETH" " MACBETH" " MACBETH"head(grep("MAC.", macbeth, value = TRUE))## [1] "MACHINE READABLE COPIES MAY BE DISTRIBUTED SO LONG AS SUCH COPIES"
## [2] "MACHINE READABLE COPIES OF THIS ETEXT, SO LONG AS SUCH COPIES"
## [3] "WITH PERMISSION. ELECTRONIC AND MACHINE READABLE COPIES MAY BE"
## [4] "THE TRAGEDY OF MACBETH"
## [5] " MACBETH, Thane of Glamis and Cawdor, a general in the King's"
## [6] " LADY MACBETH, his wife"head(grep("MACBETH\\.", macbeth, value = TRUE))## [1] " MACBETH. So foul and fair a day I have not seen."
## [2] " MACBETH. Speak, if you can. What are you?"
## [3] " MACBETH. Stay, you imperfect speakers, tell me more."
## [4] " MACBETH. Into the air, and what seem'd corporal melted"
## [5] " MACBETH. Your children shall be kings."
## [6] " MACBETH. And Thane of Cawdor too. Went it not so?"head(grep("MAC[B-Z]", macbeth, value = TRUE))## [1] "MACHINE READABLE COPIES MAY BE DISTRIBUTED SO LONG AS SUCH COPIES"
## [2] "MACHINE READABLE COPIES OF THIS ETEXT, SO LONG AS SUCH COPIES"
## [3] "WITH PERMISSION. ELECTRONIC AND MACHINE READABLE COPIES MAY BE"
## [4] "THE TRAGEDY OF MACBETH"
## [5] " MACBETH, Thane of Glamis and Cawdor, a general in the King's"
## [6] " LADY MACBETH, his wife"head(grep("MAC(B|D)", macbeth, value = TRUE))## [1] "THE TRAGEDY OF MACBETH"
## [2] " MACBETH, Thane of Glamis and Cawdor, a general in the King's"
## [3] " LADY MACBETH, his wife"
## [4] " MACDUFF, Thane of Fife, a nobleman of Scotland"
## [5] " LADY MACDUFF, his wife"
## [6] " MACBETH. So foul and fair a day I have not seen."head(grep("^ MAC[B-Z]", macbeth, value = TRUE))## [1] " MACBETH, Thane of Glamis and Cawdor, a general in the King's"
## [2] " MACDUFF, Thane of Fife, a nobleman of Scotland"
## [3] " MACBETH. So foul and fair a day I have not seen."
## [4] " MACBETH. Speak, if you can. What are you?"
## [5] " MACBETH. Stay, you imperfect speakers, tell me more."
## [6] " MACBETH. Into the air, and what seem'd corporal melted"head(grep("^ ?MAC[B-Z]", macbeth, value = TRUE))## [1] "MACHINE READABLE COPIES MAY BE DISTRIBUTED SO LONG AS SUCH COPIES"
## [2] "MACHINE READABLE COPIES OF THIS ETEXT, SO LONG AS SUCH COPIES"head(grep("^ *MAC[B-Z]", macbeth, value = TRUE))## [1] "MACHINE READABLE COPIES MAY BE DISTRIBUTED SO LONG AS SUCH COPIES"
## [2] "MACHINE READABLE COPIES OF THIS ETEXT, SO LONG AS SUCH COPIES"
## [3] " MACBETH, Thane of Glamis and Cawdor, a general in the King's"
## [4] " MACDUFF, Thane of Fife, a nobleman of Scotland"
## [5] " MACBETH. So foul and fair a day I have not seen."
## [6] " MACBETH. Speak, if you can. What are you?"head(grep("^ +MAC[B-Z]", macbeth, value = TRUE))## [1] " MACBETH, Thane of Glamis and Cawdor, a general in the King's"
## [2] " MACDUFF, Thane of Fife, a nobleman of Scotland"
## [3] " MACBETH. So foul and fair a day I have not seen."
## [4] " MACBETH. Speak, if you can. What are you?"
## [5] " MACBETH. Stay, you imperfect speakers, tell me more."
## [6] " MACBETH. Into the air, and what seem'd corporal melted"We might learn something about the play by knowing when each character speaks as a function of the line number in the play. We can retrieve this information using grepl().
Macbeth <- grepl(" MACBETH\\.", macbeth)
LadyMacbeth <- grepl(" LADY MACBETH\\.", macbeth)
Banquo <- grepl(" BANQUO\\.", macbeth)
Duncan <- grepl(" DUNCAN\\.", macbeth)
speaker_freq <- data.frame(Macbeth, LadyMacbeth, Banquo, Duncan) %>%
mutate(line = 1:length(macbeth)) %>%
gather(key = "character", value = "speak", -line) %>%
mutate(speak = as.numeric(speak)) %>%
filter(line > 218 & line < 3172)
glimpse(speaker_freq)## Observations: 11,812
## Variables: 3
## $ line <int> 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 22...
## $ character <chr> "Macbeth", "Macbeth", "Macbeth", "Macbeth", "Macbeth...
## $ speak <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...Before we create the plot, we will gather some helpful contextual information about when each Act begins.
acts_idx <- grep("^ACT [I|V]+", macbeth)
acts_labels <- str_extract(macbeth[acts_idx], "^ACT [I|V]+")
acts <- data.frame(line = acts_idx, labels = acts_labels)ggplot(data = speaker_freq, aes(x = line, y = speak)) +
geom_smooth(aes(color = character), method = "loess", se = 0, span = 0.4) +
geom_vline(xintercept = acts_idx, color = "darkgray", lty = 3) +
geom_text(data = acts, aes(y = 0.085, label = labels),
hjust = "left", color = "darkgray") +
ylim(c(0, NA)) + xlab("Line Number") + ylab("Proportion of Speeches")## Warning: Removed 36 rows containing missing values (geom_smooth).
Some word analyses
Corpus <- VCorpus(VectorSource(macbeth))
sampleline <- 300
Corpus[[sampleline]] %>%
as.character() %>%
strwrap()## [1] "meeting a bleeding Sergeant."Corpus <- Corpus %>%
tm_map(stripWhitespace) %>%
tm_map(removeNumbers) %>%
tm_map(removePunctuation) %>%
tm_map(content_transformer(tolower)) %>%
tm_map(removeWords, stopwords("english"))
strwrap(as.character(Corpus[[sampleline]]))## [1] "meeting bleeding sergeant"wordcloud(Corpus, max.words = 30, scale = c(8, 1),
colors = topo.colors(n = 30), random.color = TRUE)## Warning in wordcloud(Corpus, max.words = 30, scale = c(8, 1), colors =
## topo.colors(n = 30), : macbeth could not be fit on page. It will not be
## plotted.
DTM <- DocumentTermMatrix(Corpus, control = list(weighting = weightTfIdf))## Warning in weighting(x): empty document(s): 5 7 16 24 25 27 29 31 34 35 38
## 40 41 45 46 53 54 56 70 72 76 78 82 85 88 89 90 92 93 95 100 106 108 115
## 123 130 135 139 141 154 164 173 180 189 195 200 209 210 211 212 213 214
## 215 216 217 219 220 222 223 224 226 257 258 259 260 269 270 271 273 274 277
## 279 292 293 294 295 298 301 343 353 355 384 385 386 387 390 392 430 432 442
## 487 489 551 571 572 573 574 577 580 597 599 649 650 651 652 655 657 663 667
## 674 691 693 722 724 749 750 751 752 755 759 771 773 800 801 802 803 806 810
## 839 841 869 908 909 910 911 920 921 922 925 927 938 940 1005 1006 1007 1008
## 1010 1011 1013 1030 1032 1095 1097 1112 1113 1114 1115 1117 1118 1120 1130
## 1140 1143 1146 1148 1159 1166 1174 1176 1204 1206 1228 1230 1238 1240 1248
## 1250 1257 1259 1291 1308 1327 1328 1329 1330 1333 1335 1359 1361 1393 1394
## 1395 1396 1405 1406 1407 1410 1412 1423 1426 1494 1496 1563 1580 1581 1582
## 1583 1586 1588 1598 1600 1653 1654 1655 1656 1659 1661 1682 1684 1699 1700
## 1701 1702 1705 1707 1717 1719 1760 1762 1823 1825 1827 1860 1889 1890 1891
## 1892 1895 1897 1937 1938 1939 1940 1943 1945 2000 2001 2002 2003 2012 2013
## 2014 2017 2057 2059 2071 2073 2101 2103 2114 2116 2128 2131 2132 2162 2165
## 2192 2194 2220 2221 2222 2223 2226 2228 2290 2298 2300 2317 2319 2332 2333
## 2334 2335 2338 2340 2495 2497 2520 2522 2625 2626 2627 2628 2637 2638 2639
## 2642 2644 2648 2652 2663 2665 2680 2685 2687 2689 2693 2695 2699 2710 2712
## 2715 2717 2739 2740 2741 2742 2745 2747 2776 2785 2786 2787 2788 2791 2793
## 2804 2806 2829 2831 2871 2872 2873 2874 2877 2881 2910 2911 2912 2913 2916
## 2918 2936 2952 2954 2982 2983 2984 2985 2988 2991 3004 3005 3006 3007 3010
## 3012 3017 3019 3034 3036 3047 3049 3059 3060 3061 3062 3065 3067 3071 3073
## 3111 3112 3113 3114 3116 3120 3145 3147 3173 3174 3175 3176 3177 3186 3187
## 3188 3189 3190 3191# DTM
findFreqTerms(DTM, lowfreq = 0.8)## [1] "abed" "abhorred" "abide"
## [4] "abjure" "abound" "abroad"
## [7] "absence" "absent" "absolute"
## [10] "abuse" "accents" "accepts"
## [13] "access" "accompany" "according"
## [16] "account" "accounted" "accursed"
## [19] "accustomed" "acheron" "acquaint"
## [22] "act" "acted" "acting"
## [25] "action" "actions" "acts"
## [28] "actual" "adage" "add"
## [31] "added" "adders" "addition"
## [34] "additional" "addressd" "adhere"
## [37] "adieu" "admired" "advance"
## [40] "advantage" "advice" "advise"
## [43] "advisor" "afeard" "affair"
## [46] "affairs" "affection" "affeerd"
## [49] "affliction" "afoot" "afraid"
## [52] "afternoon" "afterwards" "age"
## [55] "agent" "agents" "agitation"
## [58] "agree" "ague" "aid"
## [61] "aim" "air" "airdrawn"
## [64] "alack" "alarm" "alarum"
## [67] "alarumd" "alarums" "alas"
## [70] "aleppo" "alike" "alive"
## [73] "allegiance" "allhail" "allhailed"
## [76] "allow" "allowable" "allowed"
## [79] "alls" "almost" "alone"
## [82] "aloud" "already" "also"
## [85] "alter" "alteration" "alternatively"
## [88] "although" "always" "amaking"
## [91] "amazed" "amazedly" "amazement"
## [94] "ambition" "amen" "amend"
## [97] "amends" "amiss" "among"
## [100] "analyzed" "angel" "angels"
## [103] "anger" "angerd" "angerly"
## [106] "angry" "angus" "annoyance"
## [109] "anointed" "anon" "another"
## [112] "answer" "ant" "anteroom"
## [115] "antic" "anticipatest" "antidote"
## [118] "antonys" "anyone" "anywhere"
## [121] "apace" "apart" "appal"
## [124] "appals" "apparition" "apparitions"
## [127] "appear" "appears" "appease"
## [130] "appetite" "applaud" "apply"
## [133] "appoint" "approach" "approaches"
## [136] "approve" "arabia" "arbitrate"
## [139] "argument" "aright" "arise"
## [142] "arm" "armd" "armed"
## [145] "armor" "arms" "army"
## [148] "aroint" "arrived" "art"
## [151] "artificial" "ascii" "aside"
## [154] "asis" "ask" "askd"
## [157] "asleep" "assailable" "assassination"
## [160] "assault" "assay" "assistance"
## [163] "assisted" "association" "assurance"
## [166] "asterisk" "attempt" "attend"
## [169] "attendant" "attendants" "attended"
## [172] "attending" "attire" "attorney"
## [175] "audience" "audit" "auger"
## [178] "aught" "augment" "augures"
## [181] "author" "authorized" "avarice"
## [184] "avaricious" "avaunt" "avoid"
## [187] "avoided" "avouch" "avouches"
## [190] "awake" "awaked" "away"
## [193] "aweary" "babe" "babes"
## [196] "baboons" "baby" "back"
## [199] "backs" "backward" "bad"
## [202] "bade" "badged" "baited"
## [205] "bake" "balls" "balm"
## [208] "bane" "banishd" "bank"
## [211] "banners" "banquet" "banquets"
## [214] "banquo" "banquos" "bare"
## [217] "barefaced" "bark" "barren"
## [220] "basis" "bat" "bath"
## [223] "bathe" "batterd" "battle"
## [226] "battlements" "battles" "beall"
## [229] "bear" "beard" "beards"
## [232] "bearing" "bearlike" "bears"
## [235] "beart" "beast" "beat"
## [238] "beaten" "beauteous" "became"
## [241] "become" "bed" "beds"
## [244] "beetle" "beforet" "beg"
## [247] "began" "beggard" "begin"
## [250] "beguile" "begun" "behind"
## [253] "behold" "beldams" "belief"
## [256] "believe" "believed" "bell"
## [259] "bellman" "bellonas" "belt"
## [262] "belzebub" "bend" "beneath"
## [265] "benediction" "benefit" "benison"
## [268] "bent" "beside" "besides"
## [271] "best" "bestowd" "bestows"
## [274] "bestride" "bet" "betimes"
## [277] "betray" "betrays" "better"
## [280] "beware" "beyond" "bid"
## [283] "bidding" "bides" "bids"
## [286] "bility" "bill" "bind"
## [289] "bird" "birds" "birnam"
## [292] "birth" "birthdom" "birthstrangled"
## [295] "black" "blade" "bladed"
## [298] "blame" "blames" "blanchd"
## [301] "blanket" "blaspheme" "blaspheming"
## [304] "blast" "blasted" "bleed"
## [307] "bleeding" "bleeds" "bless"
## [310] "blessed" "blessing" "blessings"
## [313] "blindworms" "blisters" "blood"
## [316] "bloodbolterd" "bloodier" "bloody"
## [319] "bloodyscepterd" "blow" "blown"
## [322] "blows" "blunt" "boasting"
## [325] "bodements" "body" "boil"
## [328] "boiling" "bold" "bond"
## [331] "boneless" "bones" "bonfire"
## [334] "book" "boot" "bore"
## [337] "born" "borne" "borrowd"
## [340] "borrower" "bosom" "bosoms"
## [343] "botches" "bottom" "bough"
## [346] "boughs" "bought" "bound"
## [349] "boundless" "bounteous" "bounty"
## [352] "bove" "bowd" "box"
## [355] "boy" "brag" "braggart"
## [358] "brain" "brains" "brainsickly"
## [361] "brandishd" "brave" "bravely"
## [364] "breach" "break" "breast"
## [367] "breasts" "breath" "breechd"
## [370] "breed" "brewd" "bridegroom"
## [373] "brief" "briefly" "bright"
## [376] "brightest" "brinded" "bring"
## [379] "brings" "broad" "broil"
## [382] "broke" "brother" "brought"
## [385] "brow" "brows" "bruited"
## [388] "bubble" "bubbles" "buckle"
## [391] "buffets" "building" "built"
## [394] "burial" "buried" "burn"
## [397] "burned" "bury" "business"
## [400] "butcher" "buttress" "buy"
## [403] "cabind" "caesar" "caithness"
## [406] "calendar" "call" "calld"
## [409] "calling" "calls" "callst"
## [412] "came" "camest" "camp"
## [415] "can" "cancel" "candle"
## [418] "candles" "cannons" "canst"
## [421] "capital" "caps" "captains"
## [424] "captivity" "card" "care"
## [427] "careless" "carnegie" "carousing"
## [430] "carried" "carry" "carved"
## [433] "case" "cases" "casing"
## [436] "cast" "castle" "castles"
## [439] "cat" "catalogue" "catch"
## [442] "cauldron" "cause" "causes"
## [445] "caution" "cavern" "cawdor"
## [448] "cawdron" "cdroms" "cease"
## [451] "celebrates" "censures" "central"
## [454] "ceremony" "certain" "cestern"
## [457] "chafes" "chalice" "challenge"
## [460] "chamber" "chamberlains" "chambers"
## [463] "champaign" "champion" "chance"
## [466] "chanced" "chaps" "characters"
## [469] "charge" "charged" "charges"
## [472] "charles" "charm" "charmed"
## [475] "charms" "charnel" "chastise"
## [478] "chawdron" "cheaply" "check"
## [481] "cheeks" "cheer" "cherubin"
## [484] "chestnuts" "chickens" "chid"
## [487] "chief" "chiefest" "child"
## [490] "childhood" "children" "childrens"
## [493] "chimneys" "choke" "choose"
## [496] "choppy" "choughs" "christendom"
## [499] "chuck" "churches" "claim"
## [502] "clamor" "clamord" "clamorous"
## [505] "clatter" "clean" "cleanse"
## [508] "clear" "clearly" "clearness"
## [511] "clears" "cleave" "clept"
## [514] "climb" "cling" "clock"
## [517] "clogs" "cloisterd" "close"
## [520] "closed" "closet" "cloud"
## [523] "cloudy" "clutch" "cmu"
## [526] "cock" "codes" "coign"
## [529] "cold" "colmekill" "colmes"
## [532] "color" "colors" "combined"
## [535] "combustion" "come" "comes"
## [538] "comesisters" "comest" "comfort"
## [541] "comforted" "coming" "command"
## [544] "commanded" "commands" "commencing"
## [547] "commend" "commendations" "commends"
## [550] "comment" "commercial" "commercially"
## [553] "commission" "committed" "common"
## [556] "companions" "company" "compared"
## [559] "compassd" "compelld" "complete"
## [562] "compose" "composition" "compressed"
## [565] "compt" "compunctious" "compuservecom"
## [568] "computer" "computers" "conceive"
## [571] "concern" "conclude" "concluded"
## [574] "conclusion" "concord" "condemn"
## [577] "conditions" "conduct" "conference"
## [580] "confessd" "confessing" "confident"
## [583] "confind" "confineless" "confirm"
## [586] "confirmd" "conflict" "confound"
## [589] "confounds" "confronted" "confused"
## [592] "confusion" "conjure" "consent"
## [595] "consequen" "consequence" "consequences"
## [598] "consequential" "conservative" "consider"
## [601] "considerd" "consort" "conspirers"
## [604] "constancy" "constrained" "construction"
## [607] "contacting" "contain" "contend"
## [610] "contending" "content" "contented"
## [613] "continent" "continually" "continue"
## [616] "contract" "contradict" "contributions"
## [619] "contriver" "convert" "convertible"
## [622] "convey" "convince" "convinces"
## [625] "cool" "coold" "cooperate"
## [628] "cooperation" "copies" "copy"
## [631] "copyright" "copys" "corn"
## [634] "corner" "corporal" "corrupt"
## [637] "cost" "costs" "couldst"
## [640] "council" "counseld" "counselors"
## [643] "countenance" "counterfeit" "country"
## [646] "countryman" "countrys" "courage"
## [649] "couriers" "course" "coursed"
## [652] "court" "cousin" "cousins"
## [655] "coveted" "coward" "cowd"
## [658] "coz" "crack" "cracks"
## [661] "cradle" "crave" "craves"
## [664] "craving" "crazed" "creamfaced"
## [667] "create" "creation" "creeps"
## [670] "crests" "crew" "cribbd"
## [673] "crickets" "cried" "cries"
## [676] "crime" "croaks" "crossd"
## [679] "crow" "crown" "crownd"
## [682] "crowned" "crowns" "cruel"
## [685] "cruelty" "cry" "crying"
## [688] "cumberland" "curbing" "cure"
## [691] "cures" "curs" "curse"
## [694] "cursed" "curses" "curtaind"
## [697] "custom" "cut" "cutthroats"
## [700] "cyme" "dagger" "daggers"
## [703] "dainty" "dam" "damage"
## [706] "damaged" "damages" "dame"
## [709] "dames" "damn" "damnation"
## [712] "damnd" "damned" "dance"
## [715] "danger" "dangerous" "dare"
## [718] "dareful" "dares" "dark"
## [721] "darkness" "dashd" "data"
## [724] "date" "daughters" "dauntless"
## [727] "day" "days" "dead"
## [730] "deadly" "deaf" "deal"
## [733] "dear" "dearest" "death"
## [736] "deaths" "debt" "deceitful"
## [739] "deceive" "december" "decision"
## [742] "dedicate" "dedicated" "deductible"
## [745] "deed" "deeds" "deep"
## [748] "deeper" "deepest" "deeply"
## [751] "deer" "defect" "defective"
## [754] "defense" "deftly" "degrees"
## [757] "deign" "delicate" "delight"
## [760] "delights" "delinquents" "deliver"
## [763] "delivers" "demand" "demerits"
## [766] "demiwolves" "denies" "deny"
## [769] "denyt" "depart" "descended"
## [772] "descends" "described" "desert"
## [775] "deserve" "deserved" "deservers"
## [778] "deserves" "design" "desire"
## [781] "desired" "desires" "desolate"
## [784] "despair" "despise" "destiny"
## [787] "destroy" "destroying" "destruction"
## [790] "detraction" "devil" "devilish"
## [793] "devilporter" "devils" "devotion"
## [796] "devour" "dew" "diamond"
## [799] "didst" "die" "died"
## [802] "dies" "digestion" "diggd"
## [805] "dignities" "dignity" "diminutive"
## [808] "dircompgpoboxcom" "dire" "direction"
## [811] "directly" "director" "directors"
## [814] "direful" "direness" "direst"
## [817] "disasters" "disbursed" "discharge"
## [820] "disclaimer" "disclaimers" "disclaims"
## [823] "discomfort" "discover" "discovery"
## [826] "disdaining" "disease" "diseased"
## [829] "disgrace" "disguising" "disheartens"
## [832] "dishes" "dishonors" "disjoint"
## [835] "disk" "disloyal" "dismal"
## [838] "dismayd" "dismiss" "disorder"
## [841] "dispatch" "dispatchd" "displaced"
## [844] "displayed" "displays" "disposition"
## [847] "dispute" "disseat" "distance"
## [850] "distemperd" "distilld" "distinguishes"
## [853] "distracted" "distresses" "distribute"
## [856] "distributed" "distribution" "ditch"
## [859] "ditchdeliverd" "divers" "divine"
## [862] "division" "doctor" "doff"
## [865] "dog" "dogs" "dollar"
## [868] "dollars" "dolor" "domain"
## [871] "domestic" "donalbain" "donations"
## [874] "done" "donet" "dont"
## [877] "doom" "dooms" "door"
## [880] "doors" "dost" "dot"
## [883] "doth" "double" "doubly"
## [886] "doubt" "doubtful" "doubts"
## [889] "downfalln" "download" "downy"
## [892] "drab" "dragon" "drain"
## [895] "dramatis" "draw" "drawn"
## [898] "dread" "dreadful" "dreams"
## [901] "dreamt" "drenched" "dress"
## [904] "dressd" "drink" "droop"
## [907] "drop" "drops" "drown"
## [910] "drowse" "drowsy" "drug"
## [913] "druggd" "drum" "drunk"
## [916] "dry" "dudgeon" "due"
## [919] "dues" "duff" "dull"
## [922] "duncan" "duncans" "dunnest"
## [925] "dunsinane" "durst" "dusty"
## [928] "duties" "dwarfish" "dwell"
## [931] "dwindle" "dying" "eagles"
## [934] "ear" "earl" "earls"
## [937] "earnest" "ears" "earth"
## [940] "earthbound" "earthly" "easier"
## [943] "east" "easy" "eat"
## [946] "eaten" "ebcdic" "echo"
## [949] "eclipse" "ecstasy" "edge"
## [952] "edited" "editing" "edition"
## [955] "education" "edward" "eer"
## [958] "effect" "effects" "egg"
## [961] "eight" "eighth" "either"
## [964] "elder" "eldest" "electronic"
## [967] "electronically" "else" "elves"
## [970] "embrace" "eminence" "empty"
## [973] "emptying" "enchanting" "encounter"
## [976] "encouraged" "end" "endall"
## [979] "ends" "endure" "enemy"
## [982] "england" "english" "enkindle"
## [985] "enough" "enow" "enrage"
## [988] "enrages" "enter" "entered"
## [991] "enterprise" "enters" "entertainment"
## [994] "entomb" "entrails" "entrance"
## [997] "entreat" "entry" "epicures"
## [1000] "equipment" "equivalent" "equivocate"
## [1003] "equivocates" "equivocation" "equivocator"
## [1006] "ere" "err" "errors"
## [1009] "escapes" "especially" "establish"
## [1012] "estate" "esteem" "esteemst"
## [1015] "estimate" "estimated" "etc"
## [1018] "eternal" "eterne" "etext"
## [1021] "etexts" "even" "evenhanded"
## [1024] "event" "events" "ever"
## [1027] "everlasting" "every" "everyone"
## [1030] "everything" "evil" "evils"
## [1033] "exact" "exasperate" "except"
## [1036] "excite" "exclusion" "exclusions"
## [1039] "execution" "executive" "exeunt"
## [1042] "exiled" "exit" "expectation"
## [1045] "expected" "expedition" "expense"
## [1048] "expenses" "expire" "explanatory"
## [1051] "exploits" "exposure" "express"
## [1054] "extend" "extent" "eye"
## [1057] "eyeballs" "eyes" "face"
## [1060] "faced" "faces" "fact"
## [1063] "faculties" "fail" "faild"
## [1066] "fails" "fain" "faint"
## [1069] "fair" "fairer" "fairest"
## [1072] "fairies" "faith" "faithbreach"
## [1075] "faithful" "falcon" "fall"
## [1078] "falln" "falls" "false"
## [1081] "familiar" "famine" "fan"
## [1084] "fancies" "fantastical" "far"
## [1087] "fare" "farewell" "farmer"
## [1090] "farrow" "farther" "fast"
## [1093] "fatal" "fate" "father"
## [1096] "fatherd" "fatherless" "fathers"
## [1099] "favor" "favors" "fear"
## [1102] "feard" "fearful" "fears"
## [1105] "feast" "feasts" "feat"
## [1108] "fed" "fee" "feed"
## [1111] "feegrief" "feel" "feeling"
## [1114] "fees" "feet" "fell"
## [1117] "fellow" "fellows" "felt"
## [1120] "fenny" "fever" "feverous"
## [1123] "fie" "field" "fiend"
## [1126] "fiendlike" "fiends" "fife"
## [1129] "fifty" "fight" "fighting"
## [1132] "file" "filed" "files"
## [1135] "fill" "fillet" "filling"
## [1138] "filthy" "find" "finding"
## [1141] "finds" "finger" "fire"
## [1144] "fires" "firm" "firmset"
## [1147] "first" "firstlings" "fit"
## [1150] "fitful" "fitness" "fits"
## [1153] "fixd" "flame" "flattering"
## [1156] "flaws" "fleance" "fled"
## [1159] "flesh" "flies" "flight"
## [1162] "flighty" "float" "flourish"
## [1165] "flout" "flower" "flowers"
## [1168] "flown" "flung" "fly"
## [1171] "flying" "foe" "foes"
## [1174] "fog" "foggy" "foisons"
## [1177] "fold" "following" "follows"
## [1180] "folly" "fool" "foolish"
## [1183] "fools" "foot" "forbid"
## [1186] "force" "forced" "forces"
## [1189] "foreign" "forest" "forever"
## [1192] "forge" "forget" "forgive"
## [1195] "forgot" "forgotten" "fork"
## [1198] "form" "former" "forres"
## [1201] "forsworn" "fort" "forth"
## [1204] "fortifies" "fortitude" "fortune"
## [1207] "fought" "foul" "foully"
## [1210] "found" "foundations" "founded"
## [1213] "fountain" "four" "fourth"
## [1216] "frailties" "frame" "franchised"
## [1219] "frankly" "free" "freely"
## [1222] "french" "fresh" "frets"
## [1225] "friend" "friends" "frieze"
## [1228] "fright" "frog" "front"
## [1231] "fruitless" "fry" "full"
## [1234] "fullness" "fume" "function"
## [1237] "furbishd" "furious" "fury"
## [1240] "future" "gain" "gains"
## [1243] "gainst" "gall" "galloping"
## [1246] "gallowglasses" "gap" "garments"
## [1249] "gash" "gashd" "gashes"
## [1252] "gate" "gave" "gaze"
## [1255] "geese" "general" "genius"
## [1258] "gentle" "gentleman" "gentlemen"
## [1261] "gentlewoman" "gently" "gentry"
## [1264] "germaines" "get" "ghost"
## [1267] "ghosts" "giants" "gibbet"
## [1270] "gift" "gild" "gin"
## [1273] "gins" "girl" "give"
## [1276] "given" "gives" "giving"
## [1279] "gladly" "glamis" "glare"
## [1282] "glass" "glimmers" "glory"
## [1285] "gloss" "goal" "goat"
## [1288] "god" "gods" "goes"
## [1291] "goest" "going" "goldbound"
## [1294] "golden" "golgotha" "gone"
## [1297] "good" "goodly" "goodness"
## [1300] "goose" "gore" "gorgon"
## [1303] "gory" "gospeld" "got"
## [1306] "gotst" "gouts" "govern"
## [1309] "grace" "graced" "graces"
## [1312] "gracious" "grafted" "grain"
## [1315] "grandam" "grant" "grapples"
## [1318] "grasp" "gratefully" "grave"
## [1321] "graves" "graymalkin" "grease"
## [1324] "great" "greater" "greatest"
## [1327] "greatness" "green" "greet"
## [1330] "greeting" "greets" "greyhounds"
## [1333] "grief" "griefs" "grieve"
## [1336] "grim" "gripe" "groans"
## [1339] "grooms" "ground" "grove"
## [1342] "grow" "growing" "grown"
## [1345] "grows" "gruel" "guardian"
## [1348] "guess" "guest" "guests"
## [1351] "guide" "guilt" "guise"
## [1354] "gulf" "gums" "gutenberg"
## [1357] "gutenbergcmu" "gutenbergtm" "hackd"
## [1360] "hadst" "hags" "hail"
## [1363] "haild" "hair" "hairs"
## [1366] "half" "halfworld" "hall"
## [1369] "hand" "handle" "hands"
## [1372] "handwhats" "hang" "hanged"
## [1375] "hanging" "hangmans" "hangs"
## [1378] "happier" "happily" "happiness"
## [1381] "happy" "harbinger" "harbingers"
## [1384] "hard" "hardly" "hardy"
## [1387] "hare" "hark" "harm"
## [1390] "harmless" "harms" "harness"
## [1393] "harpd" "harpier" "hart"
## [1396] "hartpoboxcom" "harvest" "hast"
## [1399] "haste" "hat" "hatchd"
## [1402] "hate" "hateful" "hath"
## [1405] "haunt" "hautboys" "hawkd"
## [1408] "hay" "head" "heads"
## [1411] "healing" "health" "heapd"
## [1414] "hear" "heard" "hearers"
## [1417] "hearing" "hearst" "heart"
## [1420] "hearts" "hearty" "heat"
## [1423] "heath" "heatoppressed" "heaven"
## [1426] "heavenly" "heavens" "heaviest"
## [1429] "heavily" "heavy" "hecate"
## [1432] "hecates" "hedgepig" "heels"
## [1435] "held" "hell" "hellbroth"
## [1438] "hellkite" "help" "hemlock"
## [1441] "hence" "henceforth" "herald"
## [1444] "hereafter" "hereapproach" "herein"
## [1447] "hereremain" "heres" "hermits"
## [1450] "hes" "hew" "hid"
## [1453] "hidden" "hide" "hideous"
## [1456] "hie" "high" "highly"
## [1459] "highness" "highplaced" "hill"
## [1462] "hired" "hiss" "hit"
## [1465] "hither" "hoarse" "hold"
## [1468] "holds" "hole" "holily"
## [1471] "holp" "holy" "homage"
## [1474] "home" "homely" "homeward"
## [1477] "honest" "honor" "honord"
## [1480] "honors" "hoodwink" "hope"
## [1483] "hopes" "horrible" "horrid"
## [1486] "horror" "horrors" "horse"
## [1489] "horsed" "horses" "horsesa"
## [1492] "hose" "host" "hostess"
## [1495] "hotter" "hound" "hounds"
## [1498] "hour" "hours" "house"
## [1501] "housekeeper" "houses" "hover"
## [1504] "howeer" "however" "howl"
## [1507] "howld" "howlets" "howls"
## [1510] "human" "humane" "humans"
## [1513] "humble" "humbly" "humh"
## [1516] "hums" "hundred" "hundreds"
## [1519] "hunger" "hunter" "hurlyburlys"
## [1522] "hurt" "hurts" "husband"
## [1525] "husbandry" "husbands" "hush"
## [1528] "hypertext" "hyrcan" "idiot"
## [1531] "ield" "ift" "ignorant"
## [1534] "iii" "ill" "illcomposed"
## [1537] "illness" "illusion" "image"
## [1540] "images" "imaginings" "impedes"
## [1543] "impediments" "imperfect" "imperial"
## [1546] "implications" "implied" "implored"
## [1549] "impostors" "impress" "inaccurate"
## [1552] "inc" "incarnadine" "incensed"
## [1555] "inch" "incidental" "inclined"
## [1558] "included" "includes" "including"
## [1561] "incomplete" "increasing" "indeed"
## [1564] "indemnify" "indemnity" "indicate"
## [1567] "indirect" "indirectly" "indissoluble"
## [1570] "industrious" "infected" "infirm"
## [1573] "infirmity" "infold" "information"
## [1576] "informd" "informs" "infringement"
## [1579] "ing" "ingratitude" "ingredients"
## [1582] "inhabit" "inhabitants" "initiate"
## [1585] "inn" "innocent" "insane"
## [1588] "instance" "instant" "instructions"
## [1591] "instrument" "instruments" "int"
## [1594] "integrity" "intelligence" "intemperance"
## [1597] "intended" "intent" "interdiction"
## [1600] "interest" "interim" "intermission"
## [1603] "internet" "interpret" "intrenchant"
## [1606] "invention" "inventor" "inverness"
## [1609] "invest" "invested" "invisible"
## [1612] "invite" "invites" "ireland"
## [1615] "isles" "issue" "ist"
## [1618] "jealousies" "ject" "jew"
## [1621] "jewel" "jewels" "jocund"
## [1624] "join" "jointly" "journey"
## [1627] "jovial" "joy" "joyful"
## [1630] "joys" "judgement" "judicious"
## [1633] "juggling" "jump" "just"
## [1636] "justice" "jutty" "keen"
## [1639] "keep" "keeps" "kerns"
## [1642] "key" "kill" "killd"
## [1645] "killing" "kind" "kindly"
## [1648] "kindness" "kindst" "king"
## [1651] "kingbecoming" "kingdom" "kingdoms"
## [1654] "kings" "kinsman" "kinsmen"
## [1657] "kiss" "kites" "knees"
## [1660] "knell" "knife" "knit"
## [1663] "knits" "knives" "knock"
## [1666] "knocking" "knocks" "knolld"
## [1669] "knots" "know" "knowings"
## [1672] "knowledge" "known" "knows"
## [1675] "knowst" "knowt" "kramer"
## [1678] "labor" "labord" "labors"
## [1681] "laced" "lack" "ladies"
## [1684] "lady" "laid" "lamb"
## [1687] "lamentings" "lamp" "land"
## [1690] "lands" "lap" "lappd"
## [1693] "large" "largess" "last"
## [1696] "latch" "late" "lated"
## [1699] "later" "laudable" "laugh"
## [1702] "lave" "lavish" "law"
## [1705] "laws" "lay" "laying"
## [1708] "lays" "lead" "leaf"
## [1711] "learn" "learned" "lease"
## [1714] "least" "leave" "leaves"
## [1717] "leavetaking" "leaving" "leavy"
## [1720] "lechery" "led" "lees"
## [1723] "left" "leg" "legal"
## [1726] "legions" "legs" "leisure"
## [1729] "length" "lennox" "lent"
## [1732] "less" "lesser" "lest"
## [1735] "let" "lets" "letter"
## [1738] "letters" "letting" "levy"
## [1741] "lia" "liability" "liar"
## [1744] "liars" "library" "license"
## [1747] "licensed" "licenses" "lid"
## [1750] "lie" "liege" "lies"
## [1753] "liest" "life" "lifes"
## [1756] "light" "lighted" "lightning"
## [1759] "like" "lilyliverd" "limbeck"
## [1762] "lime" "limitation" "limited"
## [1765] "line" "linen" "links"
## [1768] "lion" "lionmettled" "lips"
## [1771] "list" "listen" "listening"
## [1774] "little" "live" "lived"
## [1777] "livelong" "liver" "lives"
## [1780] "living" "lizards" "loads"
## [1783] "lochaber" "locks" "lodged"
## [1786] "long" "longer" "look"
## [1789] "lookd" "looks" "loon"
## [1792] "loose" "lord" "lords"
## [1795] "lose" "losest" "lost"
## [1798] "loud" "love" "loved"
## [1801] "loves" "low" "lowe"
## [1804] "lowliness" "loyal" "loyalty"
## [1807] "lust" "luxurious" "macbeth"
## [1810] "macbeths" "macdonwald" "macduff"
## [1813] "macduffs" "machine" "machines"
## [1816] "mad" "madam" "made"
## [1819] "madness" "maggot" "magic"
## [1822] "maids" "mail" "main"
## [1825] "majesty" "make" "makes"
## [1828] "making" "malady" "malcolm"
## [1831] "malcolms" "males" "malevolence"
## [1834] "malice" "malicious" "man"
## [1837] "manhood" "mankind" "manly"
## [1840] "manner" "mans" "mansion"
## [1843] "mansionry" "many" "mar"
## [1846] "marble" "march" "marching"
## [1849] "mark" "markd" "market"
## [1852] "marrowless" "marry" "mars"
## [1855] "marshalst" "martlet" "marvelst"
## [1858] "masking" "master" "masterdom"
## [1861] "masterpiece" "masters" "mated"
## [1864] "material" "materials" "matrons"
## [1867] "matter" "matters" "maw"
## [1870] "maws" "may" "mayst"
## [1873] "mayt" "meal" "mean"
## [1876] "means" "meant" "measure"
## [1879] "measured" "measureless" "meat"
## [1882] "medicine" "medicines" "medium"
## [1885] "meek" "meet" "meeting"
## [1888] "mellon" "melted" "members"
## [1891] "membership" "memorize" "memory"
## [1894] "men" "menchildren" "mend"
## [1897] "mens" "menteith" "merchantability"
## [1900] "merciful" "merciless" "mercy"
## [1903] "mere" "message" "messenger"
## [1906] "messengers" "met" "metaphysical"
## [1909] "methinks" "methods" "methought"
## [1912] "mettle" "mewd" "michael"
## [1915] "middle" "midnight" "midst"
## [1918] "might" "mightst" "mile"
## [1921] "milk" "milks" "million"
## [1924] "mind" "minds" "mine"
## [1927] "mingle" "minion" "minions"
## [1930] "minister" "ministers" "minute"
## [1933] "minutely" "miraculous" "mirth"
## [1936] "mischance" "mischief" "miserable"
## [1939] "miss" "missing" "missives"
## [1942] "mistress" "mistrust" "mock"
## [1945] "mockery" "modern" "modest"
## [1948] "modification" "moment" "momentary"
## [1951] "money" "mongrels" "monkey"
## [1954] "monsters" "monstrous" "month"
## [1957] "monuments" "moon" "moons"
## [1960] "morehaving" "morn" "morning"
## [1963] "morrow" "mortal" "mortality"
## [1966] "mortals" "mortified" "mother"
## [1969] "mothers" "motion" "motives"
## [1972] "mould" "mounchd" "mousing"
## [1975] "mouthhonor" "mouths" "move"
## [1978] "moves" "moving" "much"
## [1981] "multiplying" "multitudinous" "mummy"
## [1984] "murky" "murther" "murtherd"
## [1987] "murtherer" "murtherers" "murthering"
## [1990] "murtherous" "murthers" "muse"
## [1993] "music" "must" "naked"
## [1996] "name" "named" "names"
## [1999] "napkins" "nation" "natural"
## [2002] "nature" "natures" "naught"
## [2005] "nave" "navigation" "nay"
## [2008] "near" "nearer" "nearest"
## [2011] "nearly" "nearst" "necks"
## [2014] "need" "needed" "needful"
## [2017] "needs" "neer" "negligence"
## [2020] "neither" "neptunes" "nerves"
## [2023] "nest" "net" "neutral"
## [2026] "never" "new" "newborn"
## [2029] "newer" "newest" "newly"
## [2032] "news" "newt" "next"
## [2035] "nice" "niggard" "nigh"
## [2038] "night" "nightgown" "nightly"
## [2041] "nights" "nightshriek" "nimbly"
## [2044] "nine" "nipple" "noble"
## [2047] "nobleman" "nobleness" "nobles"
## [2050] "nobly" "nod" "noise"
## [2053] "nominally" "none" "nonpareil"
## [2056] "noon" "northumberland" "norway"
## [2059] "norways" "norweyan" "nose"
## [2062] "nosepainting" "notare" "note"
## [2065] "nothing" "notice" "notion"
## [2068] "nought" "noughts" "nourisher"
## [2071] "now" "number" "numbers"
## [2074] "obedience" "oblivious" "obscure"
## [2077] "observe" "observed" "occasion"
## [2080] "ocean" "ocr" "odds"
## [2083] "oer" "oerbear" "oerfraught"
## [2086] "oerleap" "oerleaps" "oertook"
## [2089] "offend" "offended" "offer"
## [2092] "offerings" "office" "officers"
## [2095] "offices" "official" "often"
## [2098] "oftener" "oftentimes" "old"
## [2101] "olden" "older" "one"
## [2104] "ones" "ons" "ont"
## [2107] "ope" "open" "opend"
## [2110] "opens" "opinions" "opportunity"
## [2113] "oppose" "opposed" "oracles"
## [2116] "order" "ornament" "orphans"
## [2119] "others" "otherwise" "ourself"
## [2122] "outrun" "outside" "outward"
## [2125] "outwardly" "overbold" "overcharged"
## [2128] "overcome" "overcredulous" "overred"
## [2131] "overtake" "overthrown" "owe"
## [2134] "owed" "owl" "pace"
## [2137] "paddock" "page" "paid"
## [2140] "pain" "pains" "painted"
## [2143] "painting" "palace" "palaces"
## [2146] "pale" "palehearted" "pall"
## [2149] "palpable" "paper" "parallel"
## [2152] "pardon" "park" "parley"
## [2155] "parricide" "part" "parted"
## [2158] "particular" "particulars" "partner"
## [2161] "partners" "party" "pass"
## [2164] "passage" "passd" "passion"
## [2167] "past" "patch" "patience"
## [2170] "patient" "patter" "pauser"
## [2173] "pay" "payment" "pays"
## [2176] "peace" "peak" "peal"
## [2179] "pearl" "peep" "peerless"
## [2182] "peers" "pendant" "penthouse"
## [2185] "people" "per" "perceive"
## [2188] "perchance" "perfect" "perfectest"
## [2191] "perform" "performance" "performances"
## [2194] "performd" "perfumes" "perilous"
## [2197] "permission" "pernicious" "perseverance"
## [2200] "person" "personae" "personal"
## [2203] "persuades" "pertains" "perturbation"
## [2206] "pesterd" "petty" "physic"
## [2209] "physical" "physician" "physics"
## [2212] "pictures" "piece" "pieces"
## [2215] "pies" "pillows" "pilots"
## [2218] "pine" "pious" "pit"
## [2221] "pitfall" "pitied" "pitiful"
## [2224] "pity" "place" "placed"
## [2227] "places" "plague" "plain"
## [2230] "plant" "planted" "play"
## [2233] "playdst" "player" "plead"
## [2236] "pleasant" "please" "pleaset"
## [2239] "pleasure" "pleasures" "pledge"
## [2242] "plenteous" "plenty" "plight"
## [2245] "pluck" "pluckd" "plucks"
## [2248] "point" "points" "poison"
## [2251] "poisond" "pole" "poor"
## [2254] "poorly" "portable" "porter"
## [2257] "ports" "possess" "possets"
## [2260] "possibility" "post" "posted"
## [2263] "posterity" "posters" "pot"
## [2266] "potent" "pour" "pourd"
## [2269] "power" "powerful" "powers"
## [2272] "practice" "praises" "prate"
## [2275] "prattler" "pray" "prayers"
## [2278] "precious" "predecessors" "prediction"
## [2281] "predominance" "predominant" "preliminary"
## [2284] "preparation" "prepared" "prepares"
## [2287] "presence" "present" "presentation"
## [2290] "presented" "presently" "preserve"
## [2293] "pretend" "pretense" "pretty"
## [2296] "preys" "prick" "pricking"
## [2299] "pride" "primrose" "prince"
## [2302] "print" "prisoner" "pristine"
## [2305] "prithee" "pro" "probation"
## [2308] "proceed" "proceeding" "processing"
## [2311] "processors" "procreant" "produce"
## [2314] "producing" "productivity" "prof"
## [2317] "profess" "professes" "professions"
## [2320] "profit" "profound" "program"
## [2323] "prohibited" "project" "projected"
## [2326] "projects" "prologues" "promise"
## [2329] "promised" "promonet" "pronounce"
## [2332] "pronounced" "proof" "proofread"
## [2335] "proper" "prophecy" "prophesying"
## [2338] "prophetic" "prophetlike" "proportion"
## [2341] "proprietary" "prospect" "prosperous"
## [2344] "protected" "protest" "proud"
## [2347] "prove" "proved" "provide"
## [2350] "provided" "provisions" "provoke"
## [2353] "provoker" "provokes" "prowess"
## [2356] "public" "pull" "pullt"
## [2359] "punctuation" "punitive" "pure"
## [2362] "purgative" "purge" "purged"
## [2365] "purpose" "purposes" "purveyor"
## [2368] "push" "put" "puts"
## [2371] "pyramids" "quarrel" "quarrels"
## [2374] "quarry" "quarter" "quarters"
## [2377] "queen" "quell" "quenchd"
## [2380] "question" "quickly" "quiet"
## [2383] "quit" "quite" "quoth"
## [2386] "rabbles" "race" "rage"
## [2389] "rain" "raise" "ran"
## [2392] "rancors" "rank" "ranks"
## [2395] "rapt" "rarer" "rat"
## [2398] "rather" "ratify" "raveld"
## [2401] "raven" "ravin" "ravind"
## [2404] "ravishing" "rawness" "raze"
## [2407] "reached" "read" "readable"
## [2410] "reader" "readers" "readily"
## [2413] "readiness" "reading" "reads"
## [2416] "ready" "reason" "reasons"
## [2419] "rebel" "rebellions" "rebellious"
## [2422] "rebels" "rebuked" "receipt"
## [2425] "receiv" "receive" "received"
## [2428] "reckless" "reckon" "recoil"
## [2431] "recommends" "recompense" "reconcile"
## [2434] "reconciled" "recorded" "red"
## [2437] "redoubled" "redress" "reeking"
## [2440] "reenter" "referred" "reflection"
## [2443] "refrain" "refund" "regard"
## [2446] "registerd" "reign" "reigns"
## [2449] "rejoicing" "relate" "relation"
## [2452] "relations" "release" "releases"
## [2455] "relish" "remains" "remedies"
## [2458] "remedy" "remember" "remembrance"
## [2461] "remembrancer" "remorse" "remove"
## [2464] "rend" "renderd" "renown"
## [2467] "repeatst" "repent" "repentance"
## [2470] "repetition" "replacement" "report"
## [2473] "reported" "reports" "repose"
## [2476] "reputation" "request" "require"
## [2479] "requited" "resembled" "reserved"
## [2482] "resolute" "resolution" "resolve"
## [2485] "resolved" "resounds" "respect"
## [2488] "rest" "restless" "restrain"
## [2491] "resulting" "retire" "retires"
## [2494] "retreat" "return" "returnd"
## [2497] "returning" "returns" "revenge"
## [2500] "revenges" "revolt" "revolts"
## [2503] "rhinoceros" "rhubarb" "ribs"
## [2506] "rich" "rid" "riddles"
## [2509] "ride" "rides" "right"
## [2512] "rightly" "rights" "ring"
## [2515] "rings" "ripe" "rippd"
## [2518] "rise" "rises" "roar"
## [2521] "roast" "robe" "robes"
## [2524] "rock" "roman" "ronyon"
## [2527] "roofd" "rooks" "rooky"
## [2530] "room" "root" "rooted"
## [2533] "ross" "rough" "roughest"
## [2536] "round" "rouse" "royal"
## [2539] "royalty" "rubs" "ruby"
## [2542] "rue" "rugged" "ruins"
## [2545] "rule" "rumor" "rumpfed"
## [2548] "run" "rung" "runs"
## [2551] "rush" "russian" "sacred"
## [2554] "sacrilegious" "sad" "safe"
## [2557] "safely" "safer" "safest"
## [2560] "safeties" "safety" "sag"
## [2563] "said" "sail" "sailors"
## [2566] "saint" "sainted" "sake"
## [2569] "saltsea" "salutation" "saluted"
## [2572] "sanctity" "satisfied" "satisfy"
## [2575] "sauce" "saucy" "savage"
## [2578] "savagely" "save" "saw"
## [2581] "say" "saying" "sayst"
## [2584] "scale" "scales" "scannd"
## [2587] "scanning" "scape" "scaped"
## [2590] "scarce" "scarcely" "scarf"
## [2593] "scene" "sceptre" "sceptres"
## [2596] "school" "scone" "score"
## [2599] "scorn" "scorpions" "scotchd"
## [2602] "scotland" "scottish" "scour"
## [2605] "scream" "screams" "screens"
## [2608] "screw" "scruples" "sea"
## [2611] "seal" "sear" "searched"
## [2614] "seas" "season" "seat"
## [2617] "seated" "second" "secret"
## [2620] "secrets" "secretst" "security"
## [2623] "see" "seed" "seeds"
## [2626] "seek" "seeking" "seeling"
## [2629] "seem" "seemd" "seemeth"
## [2632] "seems" "seen" "seest"
## [2635] "seize" "selected" "self"
## [2638] "selfabuse" "selfcomparisons" "selfsame"
## [2641] "sell" "send" "sending"
## [2644] "sennet" "sennights" "sense"
## [2647] "senses" "sensible" "sent"
## [2650] "sentinel" "separated" "sergeant"
## [2653] "serious" "serpent" "servant"
## [2656] "servants" "serve" "served"
## [2659] "service" "set" "sets"
## [2662] "setting" "settled" "seven"
## [2665] "seventh" "several" "seward"
## [2668] "sewards" "sewer" "seyton"
## [2671] "seytoni" "shade" "shadow"
## [2674] "shadows" "shaft" "shageard"
## [2677] "shake" "shakes" "shakespeare"
## [2680] "shaking" "shall" "shalt"
## [2683] "shame" "shape" "shardborne"
## [2686] "share" "shares" "shareware"
## [2689] "shark" "sharp" "sheathe"
## [2692] "shed" "shell" "shield"
## [2695] "shift" "shine" "shipmans"
## [2698] "shipwrecking" "shoal" "shook"
## [2701] "short" "shot" "shoughs"
## [2704] "shouldst" "show" "showd"
## [2707] "shows" "shriekd" "shrieks"
## [2710] "shut" "sick" "sicken"
## [2713] "sickly" "sides" "siege"
## [2716] "sieve" "sigh" "sighs"
## [2719] "sight" "sightless" "sights"
## [2722] "sign" "signifying" "signs"
## [2725] "silenced" "silent" "silver"
## [2728] "sin" "since" "sinels"
## [2731] "sinful" "sing" "single"
## [2734] "sinks" "sir" "sirrah"
## [2737] "sister" "sisters" "sit"
## [2740] "site" "sits" "siward"
## [2743] "sizes" "skin" "skinny"
## [2746] "skipping" "skirr" "sky"
## [2749] "slab" "slain" "slaughter"
## [2752] "slaughterd" "slaughterous" "slave"
## [2755] "slaves" "sleave" "sleek"
## [2758] "sleep" "sleepers" "sleeping"
## [2761] "sleeps" "sleepy" "sleights"
## [2764] "slept" "slippd" "slips"
## [2767] "sliverd" "slope" "slow"
## [2770] "slumbery" "smack" "smacking"
## [2773] "small" "smear" "smell"
## [2776] "smells" "smile" "smiles"
## [2779] "smiling" "smoke" "smoked"
## [2782] "smotherd" "snake" "snares"
## [2785] "snores" "snow" "society"
## [2788] "software" "sold" "soldier"
## [2791] "soldiers" "soldiership" "sole"
## [2794] "solely" "solemn" "soliciting"
## [2797] "solicits" "something" "sometime"
## [2800] "son" "song" "sons"
## [2803] "soon" "sooner" "sooth"
## [2806] "sore" "sorely" "sorriest"
## [2809] "sorrow" "sorrows" "sorry"
## [2812] "sorts" "sought" "soul"
## [2815] "souls" "sound" "soundly"
## [2818] "sounds" "source" "south"
## [2821] "sovereign" "sovereignty" "sows"
## [2824] "space" "spacious" "spaniels"
## [2827] "sparrows" "speak" "speaker"
## [2830] "speakers" "speaking" "speaks"
## [2833] "speakst" "special" "speculation"
## [2836] "speculative" "speech" "speeches"
## [2839] "speed" "spells" "spend"
## [2842] "spent" "spirit" "spirits"
## [2845] "spite" "spiteful" "spoils"
## [2848] "spoke" "spoken" "spongy"
## [2851] "spot" "spring" "sprites"
## [2854] "spur" "spurn" "spurs"
## [2857] "spy" "stableness" "stabs"
## [2860] "staff" "stage" "stake"
## [2863] "stalls" "stamp" "stanchless"
## [2866] "stand" "stands" "stared"
## [2869] "stars" "start" "starting"
## [2872] "starts" "state" "stated"
## [2875] "statement" "states" "station"
## [2878] "statute" "staves" "stay"
## [2881] "stayd" "stays" "stead"
## [2884] "stealing" "steals" "stealthy"
## [2887] "steel" "steepd" "step"
## [2890] "steppd" "steps" "sternst"
## [2893] "stick" "sticking" "stickingplace"
## [2896] "sticks" "still" "sting"
## [2899] "stir" "stirring" "stole"
## [2902] "stoln" "stone" "stones"
## [2905] "stood" "stool" "stools"
## [2908] "stop" "stoppd" "stopped"
## [2911] "storehouse" "storms" "story"
## [2914] "stout" "straight" "strange"
## [2917] "strangely" "strangelyvisited" "strangers"
## [2920] "strangles" "streaks" "streams"
## [2923] "strength" "stretch" "strict"
## [2926] "strides" "striding" "strike"
## [2929] "stroke" "strokes" "strong"
## [2932] "strongly" "struck" "struts"
## [2935] "stuck" "studied" "stuff"
## [2938] "stuffd" "subject" "subornd"
## [2941] "substances" "subtle" "succeed"
## [2944] "succeeding" "success" "suck"
## [2947] "sudden" "suffer" "suffering"
## [2950] "suggestion" "suits" "summer"
## [2953] "summers" "summerseeming" "summons"
## [2956] "sun" "sundry" "supernatural"
## [2959] "suppd" "supper" "supplied"
## [2962] "supplies" "surcease" "sure"
## [2965] "surfeited" "surgeons" "surgery"
## [2968] "surmise" "surprise" "surprised"
## [2971] "surveying" "suspicion" "swallow"
## [2974] "swarm" "sway" "swear"
## [2977] "swearers" "swears" "sweat"
## [2980] "sweaten" "sweep" "sweet"
## [2983] "sweeten" "sweeter" "sweetly"
## [2986] "swelling" "swells" "swelterd"
## [2989] "sweno" "swift" "swiftest"
## [2992] "swimmers" "swine" "swinish"
## [2995] "swoln" "swoop" "sword"
## [2998] "swords" "sworn" "syllable"
## [3001] "table" "tables" "tail"
## [3004] "tailor" "taint" "taints"
## [3007] "take" "takes" "taket"
## [3010] "takingoff" "tale" "talk"
## [3013] "talkst" "taper" "tarquins"
## [3016] "tarrying" "tartars" "taste"
## [3019] "taught" "tax" "teach"
## [3022] "tear" "tears" "tedious"
## [3025] "teems" "teeth" "tel"
## [3028] "tell" "tells" "temper"
## [3031] "temperance" "temperate" "tempesttossd"
## [3034] "temple" "templehaunting" "ten"
## [3037] "tend" "tender" "tending"
## [3040] "terms" "terrible" "text"
## [3043] "texts" "thane" "thanes"
## [3046] "thank" "thanks" "thats"
## [3049] "thee" "theft" "themei"
## [3052] "thence" "thereby" "therefore"
## [3055] "therein" "theres" "thereto"
## [3058] "therewithal" "thick" "thickcoming"
## [3061] "thickens" "thief" "thine"
## [3064] "thing" "things" "think"
## [3067] "thinkst" "third" "thirst"
## [3070] "thirtyone" "thither" "thou"
## [3073] "thoudst" "though" "thought"
## [3076] "thoughts" "thouldst" "thoult"
## [3079] "thourt" "thousand" "thousands"
## [3082] "thralls" "threat" "threaten"
## [3085] "three" "threescore" "thrice"
## [3088] "thriftless" "throat" "throbs"
## [3091] "throne" "throw" "thrusts"
## [3094] "thumb" "thumbs" "thunder"
## [3097] "thunders" "thus" "thy"
## [3100] "thyself" "tial" "tidings"
## [3103] "tie" "tied" "tiger"
## [3106] "tigers" "til" "tilde"
## [3109] "till" "time" "timely"
## [3112] "times" "tis" "title"
## [3115] "titles" "toad" "today"
## [3118] "toe" "together" "toil"
## [3121] "told" "tomorrow" "tongue"
## [3124] "tongues" "tonight" "took"
## [3127] "tooth" "top" "topfull"
## [3130] "topple" "torch" "torches"
## [3133] "torture" "tot" "touch"
## [3136] "touchd" "toward" "towards"
## [3139] "towering" "toys" "trace"
## [3142] "trade" "trademark" "traffic"
## [3145] "tragedy" "trains" "traitor"
## [3148] "traitors" "trammel" "transcription"
## [3151] "transport" "transported" "transpose"
## [3154] "traveler" "traveling" "treacherous"
## [3157] "treachery" "tread" "treason"
## [3160] "treasonous" "treasons" "treasure"
## [3163] "treatise" "treble" "tree"
## [3166] "trees" "tremble" "trembling"
## [3169] "trenched" "trifle" "trifled"
## [3172] "trifles" "trillion" "troops"
## [3175] "trouble" "troubled" "troubles"
## [3178] "true" "truest" "truly"
## [3181] "trumpet" "trumpets" "trumpettongued"
## [3184] "trust" "trusted" "truth"
## [3187] "truths" "try" "tuesday"
## [3190] "tuggd" "tumble" "tune"
## [3193] "turk" "turn" "turnd"
## [3196] "turning" "turns" "twain"
## [3199] "twas" "twelve" "twenty"
## [3202] "twere" "twice" "twixt"
## [3205] "two" "twofold" "twould"
## [3208] "txt" "tyranny" "tyrant"
## [3211] "tyrants" "ulcerous" "unaccompanied"
## [3214] "unattended" "unbatterd" "unbecoming"
## [3217] "unbend" "uncle" "undaunted"
## [3220] "undeeded" "underline" "understand"
## [3223] "understood" "underwrit" "undivulged"
## [3226] "undone" "unfelt" "unfix"
## [3229] "unfold" "unfortunate" "unguarded"
## [3232] "unity" "universal" "university"
## [3235] "unjust" "unkindness" "unknown"
## [3238] "unless" "unlike" "unlineal"
## [3241] "unlock" "unmake" "unmannd"
## [3244] "unmannerly" "unnatural" "unprepared"
## [3247] "unprovokes" "unreal" "unrough"
## [3250] "unruly" "unsafe" "unsanctified"
## [3253] "unseamd" "unsex" "unshrinking"
## [3256] "unspeak" "unsure" "untie"
## [3259] "untimely" "untitled" "unto"
## [3262] "unusual" "unwelcome" "unwiped"
## [3265] "upbraid" "uplifted" "upon"
## [3268] "upont" "upping" "uproar"
## [3271] "upward" "urine" "use"
## [3274] "used" "users" "using"
## [3277] "usually" "usurpers" "utterance"
## [3280] "valiant" "valor" "valors"
## [3283] "value" "valued" "vanilla"
## [3286] "vanish" "vanishd" "vanished"
## [3289] "vanquishd" "vantage" "vaporous"
## [3292] "vault" "vaulting" "venom"
## [3295] "venture" "verities" "verity"
## [3298] "version" "vessel" "vessels"
## [3301] "vice" "vices" "victory"
## [3304] "viewing" "vii" "viii"
## [3307] "vile" "villain" "villainies"
## [3310] "violent" "virtue" "virtues"
## [3313] "virtuous" "virus" "vision"
## [3316] "visit" "visitings" "vizards"
## [3319] "voice" "voices" "volume"
## [3322] "volunteers" "voluptuousness" "vouchd"
## [3325] "vulnerable" "vulture" "wade"
## [3328] "wail" "wait" "waiting"
## [3331] "wake" "wakes" "walk"
## [3334] "walkd" "walked" "walking"
## [3337] "wall" "walls" "want"
## [3340] "wanton" "wants" "war"
## [3343] "warder" "warders" "warlike"
## [3346] "warrant" "warranted" "warranties"
## [3349] "warranty" "wash" "washing"
## [3352] "wassail" "wast" "wasteful"
## [3355] "watch" "watched" "watchers"
## [3358] "watchful" "watching" "water"
## [3361] "waterrugs" "waves" "way"
## [3364] "ways" "wayward" "weak"
## [3367] "weal" "wealth" "weapons"
## [3370] "wear" "wears" "weary"
## [3373] "web" "weeds" "week"
## [3376] "weep" "weeps" "weighd"
## [3379] "weighs" "weighty" "weird"
## [3382] "welcome" "weld" "well"
## [3385] "went" "weret" "west"
## [3388] "western" "whateer" "whatever"
## [3391] "whats" "whence" "whereabout"
## [3394] "whereby" "wherefore" "wherein"
## [3397] "whereon" "wheres" "whereto"
## [3400] "wherever" "wherewith" "whether"
## [3403] "whetstone" "wheyface" "whiles"
## [3406] "whilst" "whined" "whisperings"
## [3409] "whispers" "white" "whither"
## [3412] "whoever" "whole" "wholesome"
## [3415] "whore" "whos" "whose"
## [3418] "wicked" "widows" "wife"
## [3421] "wild" "will" "william"
## [3424] "willing" "wilt" "win"
## [3427] "wind" "winds" "wine"
## [3430] "wing" "wink" "winters"
## [3433] "wiped" "wisdom" "wise"
## [3436] "wisely" "wish" "wishest"
## [3439] "wit" "witch" "witchcraft"
## [3442] "witches" "witchs" "withal"
## [3445] "witherd" "within" "without"
## [3448] "witness" "witnessd" "wives"
## [3451] "woe" "woeful" "wolf"
## [3454] "woman" "womanly" "womans"
## [3457] "womb" "women" "won"
## [3460] "wonder" "wonders" "wood"
## [3463] "wooingly" "wool" "word"
## [3466] "words" "work" "works"
## [3469] "world" "worlds" "worm"
## [3472] "worms" "worn" "worse"
## [3475] "worst" "worth" "worthiest"
## [3478] "worthy" "wouldst" "wound"
## [3481] "wounds" "wrack" "wrath"
## [3484] "wrathful" "wreck" "wreckd"
## [3487] "wren" "wrenchd" "wretched"
## [3490] "write" "writes" "written"
## [3493] "wrongly" "wrongs" "wrought"
## [3496] "xxxxxxxxx" "yawning" "year"
## [3499] "yelld" "yellow" "yes"
## [3502] "yesterday" "yesterdays" "yesty"
## [3505] "yet" "yew" "yield"
## [3508] "yoke" "yould" "youll"
## [3511] "young" "younger" "youth"
## [3514] "youths" "zip"DTM %>% as.matrix() %>%
apply(MARGIN = 2, sum) %>%
sort(decreasing = TRUE) %>%
head(9)## macbeth macduff scene enter lady exeunt banquo
## 270.44988 153.76644 152.63294 121.37315 116.31969 114.55579 102.37784
## shall thou
## 93.89130 93.55111