README.md
In ropenscilabs/syn: Creates Synonyms From Target Words
syn 
syn is a zero dependency R package that lists synonyms and
antonyms.
There are two main functions:
syn("great") Returns synonyms of “great”ant("great") Returns antonyms of “great”.
syn and ant take one word as input. To return synonyms for many
words, use the plural form: syns, and ants
syns(c("great", "excellent") Returns named list of synonyms of
“great”, and “excellent”ants(c("great", "excellent") Returns named list of antonyms of
“great”, and “excellent”
Example: Synonyms for “cool”
The syn function returns all synonyms for a given word:
Let’s look at synonyms for “cool”:
library(syn)
syn_cool <- syn("cool")
head(syn_cool)
#> [1] "abate" "abnegation" "above all that" "absolute zero"
#> [5] "abstinence" "ace-high"
tail(syn_cool)
#> [1] "withhold" "without nerves" "wizard" "wonderless"
#> [5] "wonderlessness" "zealless"
Wow, there are a lot! How many are there?
length(syn_cool)
#> [1] 618
Wow! There are 618 synonyms for cool. That’s…inclemency, I guess.
You can also provide it a number of words to return with the n_words
argument, which will randomly select the number of words given
syn("awesome", 1)
#> [1] "huge"
syn("awesome", 2)
#> [1] "breathtaking" "grim"
syn("awesome", 5)
#> [1] "galactic" "reverend" "morbid" "honorable" "astounding"
Example: Creating a sentence
OK cool, let’s use these in a sentence, using the glue package. Which
of these better?
glue::glue("This is really cool!")
#> This is really cool!
glue::glue("This is really {syn('cool', 1)}!")
#> This is really withhold!
glue::glue("This is really {syn('cool', 10)}!")
#> This is really serene!
#> This is really relaxed!
#> This is really indifferent!
#> This is really affectless!
#> This is really obtrusive!
#> This is really nippy!
#> This is really repel!
#> This is really temperate!
#> This is really imperturbability!
#> This is really frosty!
Using multiple words with syns
You can generate synonyms for multiple words with the syns function.
This takes a vector of words, returning a named list
syns_good_evil <- syns(c("good", "evil"))
str(syns_good_evil)
#> List of 2
#> $ good: chr [1:667] "able to pay" "absolutely" "acceptable" "accomplished" ...
#> $ evil: chr [1:365] "aberrant" "abnormal" "abominable" "abomination" ...
You can also provide n_words for syns, and it will return a random
selection of the words of that number.
syns(c("good", "evil"),
n_words = 10)
#> $good
#> [1] "Christlike" "unfanciful" "grateful" "positive" "timely"
#> [6] "worth" "gratifying" "wise" "delicate" "upright"
#>
#> $evil
#> [1] "nefariousness" "headache" "somber" "thorn"
#> [5] "inconvenience" "baneful" "sin of omission" "unforgivable"
#> [9] "poison" "underhanded"
Example: Antonyms (under development)
To create antonyms, use ant and ants, which have the same inputs as
syn. However, at this stage, the number of antonyms available for use
by ant is small.
ant("good")
#> [1] "bad" "evil"
ant("good",1)
#> [1] "bad"
ant("strong")
#> [1] "weak"
ants(c("good", "evil"))
#> $good
#> [1] "bad" "evil"
#>
#> $evil
#> [1] "good"
ants(c("good", "evil"), n_words = 5)
#> $good
#> [1] "bad" "evil"
#>
#> $evil
#> [1] "good"
ants(c("strong", "weak"))
#> $strong
#> [1] "weak"
#>
#> $weak
#> [1] "strong"
Example: Filtering by the number of words in a synonym
Let’s say that you want to filter something down to those synonyms that
only contain one word. You can use the n_words argument, which
calculates the number of words for each
syn_end <- syn("end")
n_words(syn_end)
#> [1] 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 3 3 2 1 1 3 2 2
#> [38] 2 1 1 2 2 3 2 1 1 1 2 2 1 1 2 2 1 1 2 2 1 1 1 2 1 2 2 3 1 1 1 1 1 1 3 1 1
#> [75] 1 1 1 1 1 2 2 1 2 1 1 1 2 2 1 1 1 1 1 2 2 2 3 3 1 1 1 1 1 1 1 1 1 1 2 1 1
#> [112] 1 1 1 3 1 1 1 1 1 1 1 2 3 2 2 1 2 1 2 1 1 1 1 2 1 1 3 1 1 1 2 1 1 1 1 3 1
#> [149] 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 2 3 2 3 1 1 1 2 1 3 1 3 3 2 1 1
#> [186] 1 2 2 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 2 2 2 2 1 1 1 1 1 3 1 1 2 2 1 1
#> [223] 1 1 1 1 1 1 1 3 1 2 2 1 1 1 1 2 3 3 2 3 2 1 1 1 1 1 2 1 2 1 1 1 1 1 3 3 1
#> [260] 1 2 2 1 1 1 1 3 1 1 1 1 1 1 1 3 1 1 1 1 1 3 2 2 2 2 2 2 3 2 2 1 2 1 1 1 1
#> [297] 1 2 1 3 1 1 1 3 1 2 2 1 1 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 3 1 2 1 3 1
#> [334] 3 2 1 1 1 1 1 2 1 1 1 1 1 1 2 1 2 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2
#> [371] 1 1 3 1 1 1 2 2 3 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 3 1 1 1
#> [408] 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 2 1 1 1 1 1 1 1 1 1 3 3 1 3 1 1 1 1 1 1 2 1
#> [445] 1 1 1 1 1 2 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1
#> [482] 1 1 3 1 1 1 1 2 2 1 2 1 1 1 1 2 1 1 1 2 1 2 1 1 1 2 2 2 1 1 2 1 2 1 2 1 1
#> [519] 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 3 3 2 1 1 2 2 1 1 2 1
syn_end_l1 <- syn_end[n_words(syn_end) <= 1]
syn_end_l1
#> [1] "abandon" "abort" "accomplishment" "acme"
#> [5] "afterglow" "afterimage" "aim" "all"
#> [9] "allotment" "allowance" "annihilate" "annihilation"
#> [13] "answer" "apogee" "archer" "arrest"
#> [17] "astrology" "athlete" "attend" "balance"
#> [21] "ballplayer" "bane" "baseballer" "baseman"
#> [25] "batter" "battery" "belay" "bell"
#> [29] "bit" "bite" "borderline" "bound"
#> [33] "boundary" "bourn" "bowman" "budget"
#> [37] "butt" "by-end" "by-purpose" "cancel"
#> [41] "cap" "catastrophe" "catcher" "cease"
#> [45] "ceiling" "center" "cessation" "chaff"
#> [49] "check" "checkmate" "chip" "chloroform"
#> [53] "chunk" "circumscription" "climax" "clip"
#> [57] "clipping" "close" "closing" "closure"
#> [61] "coach" "coda" "collop" "commission"
#> [65] "compass" "competitor" "complete" "completing"
#> [69] "completion" "conclude" "conclusion" "confine"
#> [73] "confines" "constellation" "consummation" "contingent"
#> [77] "cracking" "cricketer" "crown" "crumb"
#> [81] "culminate" "culmination" "cup" "curtains"
#> [85] "cut" "cutoff" "cutting" "deadline"
#> [89] "deadlock" "deal" "death" "deathblow"
#> [93] "debris" "decease" "decipherment" "decoding"
#> [97] "delimitation" "demise" "denouement" "departure"
#> [101] "desist" "desistance" "destination" "destiny"
#> [105] "destroy" "desuetude" "determinant" "determination"
#> [109] "determine" "detritus" "develop" "die"
#> [113] "disappear" "discontinuance" "discontinuation" "discontinue"
#> [117] "disentanglement" "dispatch" "dissolution" "dividend"
#> [121] "dole" "dollop" "doom" "dying"
#> [125] "end" "endgame" "ending" "ensue"
#> [129] "eventuate" "execute" "exit" "expiration"
#> [133] "expire" "explanation" "exterminate" "extinction"
#> [137] "extinguishment" "extreme" "extremity" "fare"
#> [141] "fatality" "fate" "filings" "finale"
#> [145] "finality" "finalize" "finding" "finding-out"
#> [149] "finis" "finish" "finishing" "floor"
#> [153] "follow" "footballer" "foredoom" "fortune"
#> [157] "fossil" "fragment" "Friday" "frontier"
#> [161] "future" "game" "games-player" "gamester"
#> [165] "go" "goal" "gob" "gobbet"
#> [169] "going" "grave" "guard" "gun"
#> [173] "half" "halt" "halver" "hedge"
#> [177] "helping" "hold" "holdover" "hunk"
#> [181] "husks" "immolate" "inevitability" "infielder"
#> [185] "interest" "interface" "interpretation" "issue"
#> [189] "jock" "jumper" "kill" "kismet"
#> [193] "knell" "leaving" "leavings" "leftovers"
#> [197] "limen" "limit" "limitation" "line"
#> [201] "lineman" "liquidate" "lockout" "lot"
#> [205] "lump" "lynch" "march" "mark"
#> [209] "martyr" "martyrize" "maturation" "maturity"
#> [213] "maximum" "measure" "meed" "mess"
#> [217] "mete" "modicum" "moiety" "moira"
#> [221] "morsel" "nip" "object" "objective"
#> [225] "offscourings" "orts" "outcome" "outfield"
#> [229] "outfielder" "paring" "parings" "part"
#> [233] "particle" "parting" "pass" "passing"
#> [237] "payoff" "peak" "percentage" "perfect"
#> [241] "perfection" "period" "perish" "perishing"
#> [245] "perorate" "piece" "pinnacle" "planets"
#> [249] "player" "poison" "poloist" "portion"
#> [253] "prey" "proportion" "prove" "pugilist"
#> [257] "purge" "pursuit" "quantum" "quarry"
#> [261] "quarterback" "quietus" "quintain" "quit"
#> [265] "quota" "racer" "rags" "rake-off"
#> [269] "rasher" "ration" "reason" "refrain"
#> [273] "refuse" "release" "relics" "relinquish"
#> [277] "remainder" "remains" "remnant" "renounce"
#> [281] "residue" "residuum" "resolution" "resolve"
#> [285] "resolving" "rest" "result" "reward"
#> [289] "riddling" "ripeness" "roach" "rubbish"
#> [293] "ruins" "rump" "sacrifice" "sawdust"
#> [297] "scoop" "scourings" "scrap" "scraps"
#> [301] "scratch" "scrub" "segment" "shadow"
#> [305] "shard" "share" "shaving" "shavings"
#> [309] "shiver" "shred" "skater" "slaughter"
#> [313] "slay" "sleep" "slice" "sliver"
#> [317] "smithereen" "snack" "snatch" "snip"
#> [321] "snippet" "solution" "solving" "splinter"
#> [325] "sport" "sportsman" "stake" "stalemate"
#> [329] "stand" "standoff" "standstill" "stars"
#> [333] "start" "starve" "stay" "stitch"
#> [337] "stock" "stop" "stoppage" "straw"
#> [341] "strike" "stubble" "stump" "succumb"
#> [345] "summit" "survival" "sweepings" "tackle"
#> [349] "tailback" "target" "tatter" "teleology"
#> [353] "term" "terminal" "terminate" "termination"
#> [357] "terminus" "threshold" "tip" "to"
#> [361] "top" "toxophilite" "trace" "ultimate"
#> [365] "unfold" "unraveling" "unriddling" "unscrambling"
#> [369] "unspinning" "untangling" "untwisting" "unweaving"
#> [373] "upshot" "utmost" "uttermost" "vanish"
#> [377] "vestige" "walkout" "waste" "weird"
#> [381] "windup" "wingback" "working" "working-out"
#> [385] "wrestler"
Code of Conduct
Please note that the syn project is released with a Contributor Code of
Conduct. By contributing
to this project, you agree to abide by its terms.
ropenscilabs/syn documentation built on Feb. 3, 2024, 4:32 a.m.
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syn
syn is a zero dependency R package that lists synonyms and
antonyms.
There are two main functions:
syn("great")Returns synonyms of “great”ant("great")Returns antonyms of “great”.
syn and ant take one word as input. To return synonyms for many
words, use the plural form: syns, and ants
syns(c("great", "excellent")Returns named list of synonyms of “great”, and “excellent”ants(c("great", "excellent")Returns named list of antonyms of “great”, and “excellent”
Example: Synonyms for “cool”
The syn function returns all synonyms for a given word:
Let’s look at synonyms for “cool”:
library(syn)
syn_cool <- syn("cool")
head(syn_cool)
#> [1] "abate" "abnegation" "above all that" "absolute zero"
#> [5] "abstinence" "ace-high"
tail(syn_cool)
#> [1] "withhold" "without nerves" "wizard" "wonderless"
#> [5] "wonderlessness" "zealless"
Wow, there are a lot! How many are there?
length(syn_cool)
#> [1] 618
Wow! There are 618 synonyms for cool. That’s…inclemency, I guess.
You can also provide it a number of words to return with the n_words
argument, which will randomly select the number of words given
syn("awesome", 1)
#> [1] "huge"
syn("awesome", 2)
#> [1] "breathtaking" "grim"
syn("awesome", 5)
#> [1] "galactic" "reverend" "morbid" "honorable" "astounding"
Example: Creating a sentence
OK cool, let’s use these in a sentence, using the glue package. Which
of these better?
glue::glue("This is really cool!")
#> This is really cool!
glue::glue("This is really {syn('cool', 1)}!")
#> This is really withhold!
glue::glue("This is really {syn('cool', 10)}!")
#> This is really serene!
#> This is really relaxed!
#> This is really indifferent!
#> This is really affectless!
#> This is really obtrusive!
#> This is really nippy!
#> This is really repel!
#> This is really temperate!
#> This is really imperturbability!
#> This is really frosty!
Using multiple words with syns
You can generate synonyms for multiple words with the syns function.
This takes a vector of words, returning a named list
syns_good_evil <- syns(c("good", "evil"))
str(syns_good_evil)
#> List of 2
#> $ good: chr [1:667] "able to pay" "absolutely" "acceptable" "accomplished" ...
#> $ evil: chr [1:365] "aberrant" "abnormal" "abominable" "abomination" ...
You can also provide n_words for syns, and it will return a random
selection of the words of that number.
syns(c("good", "evil"),
n_words = 10)
#> $good
#> [1] "Christlike" "unfanciful" "grateful" "positive" "timely"
#> [6] "worth" "gratifying" "wise" "delicate" "upright"
#>
#> $evil
#> [1] "nefariousness" "headache" "somber" "thorn"
#> [5] "inconvenience" "baneful" "sin of omission" "unforgivable"
#> [9] "poison" "underhanded"
Example: Antonyms (under development)
To create antonyms, use ant and ants, which have the same inputs as
syn. However, at this stage, the number of antonyms available for use
by ant is small.
ant("good")
#> [1] "bad" "evil"
ant("good",1)
#> [1] "bad"
ant("strong")
#> [1] "weak"
ants(c("good", "evil"))
#> $good
#> [1] "bad" "evil"
#>
#> $evil
#> [1] "good"
ants(c("good", "evil"), n_words = 5)
#> $good
#> [1] "bad" "evil"
#>
#> $evil
#> [1] "good"
ants(c("strong", "weak"))
#> $strong
#> [1] "weak"
#>
#> $weak
#> [1] "strong"
Example: Filtering by the number of words in a synonym
Let’s say that you want to filter something down to those synonyms that
only contain one word. You can use the n_words argument, which
calculates the number of words for each
syn_end <- syn("end")
n_words(syn_end)
#> [1] 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 3 3 2 1 1 3 2 2
#> [38] 2 1 1 2 2 3 2 1 1 1 2 2 1 1 2 2 1 1 2 2 1 1 1 2 1 2 2 3 1 1 1 1 1 1 3 1 1
#> [75] 1 1 1 1 1 2 2 1 2 1 1 1 2 2 1 1 1 1 1 2 2 2 3 3 1 1 1 1 1 1 1 1 1 1 2 1 1
#> [112] 1 1 1 3 1 1 1 1 1 1 1 2 3 2 2 1 2 1 2 1 1 1 1 2 1 1 3 1 1 1 2 1 1 1 1 3 1
#> [149] 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 2 3 2 3 1 1 1 2 1 3 1 3 3 2 1 1
#> [186] 1 2 2 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 2 2 2 2 1 1 1 1 1 3 1 1 2 2 1 1
#> [223] 1 1 1 1 1 1 1 3 1 2 2 1 1 1 1 2 3 3 2 3 2 1 1 1 1 1 2 1 2 1 1 1 1 1 3 3 1
#> [260] 1 2 2 1 1 1 1 3 1 1 1 1 1 1 1 3 1 1 1 1 1 3 2 2 2 2 2 2 3 2 2 1 2 1 1 1 1
#> [297] 1 2 1 3 1 1 1 3 1 2 2 1 1 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 3 1 2 1 3 1
#> [334] 3 2 1 1 1 1 1 2 1 1 1 1 1 1 2 1 2 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2
#> [371] 1 1 3 1 1 1 2 2 3 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 3 1 1 1
#> [408] 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 2 1 1 1 1 1 1 1 1 1 3 3 1 3 1 1 1 1 1 1 2 1
#> [445] 1 1 1 1 1 2 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1
#> [482] 1 1 3 1 1 1 1 2 2 1 2 1 1 1 1 2 1 1 1 2 1 2 1 1 1 2 2 2 1 1 2 1 2 1 2 1 1
#> [519] 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 3 3 2 1 1 2 2 1 1 2 1
syn_end_l1 <- syn_end[n_words(syn_end) <= 1]
syn_end_l1
#> [1] "abandon" "abort" "accomplishment" "acme"
#> [5] "afterglow" "afterimage" "aim" "all"
#> [9] "allotment" "allowance" "annihilate" "annihilation"
#> [13] "answer" "apogee" "archer" "arrest"
#> [17] "astrology" "athlete" "attend" "balance"
#> [21] "ballplayer" "bane" "baseballer" "baseman"
#> [25] "batter" "battery" "belay" "bell"
#> [29] "bit" "bite" "borderline" "bound"
#> [33] "boundary" "bourn" "bowman" "budget"
#> [37] "butt" "by-end" "by-purpose" "cancel"
#> [41] "cap" "catastrophe" "catcher" "cease"
#> [45] "ceiling" "center" "cessation" "chaff"
#> [49] "check" "checkmate" "chip" "chloroform"
#> [53] "chunk" "circumscription" "climax" "clip"
#> [57] "clipping" "close" "closing" "closure"
#> [61] "coach" "coda" "collop" "commission"
#> [65] "compass" "competitor" "complete" "completing"
#> [69] "completion" "conclude" "conclusion" "confine"
#> [73] "confines" "constellation" "consummation" "contingent"
#> [77] "cracking" "cricketer" "crown" "crumb"
#> [81] "culminate" "culmination" "cup" "curtains"
#> [85] "cut" "cutoff" "cutting" "deadline"
#> [89] "deadlock" "deal" "death" "deathblow"
#> [93] "debris" "decease" "decipherment" "decoding"
#> [97] "delimitation" "demise" "denouement" "departure"
#> [101] "desist" "desistance" "destination" "destiny"
#> [105] "destroy" "desuetude" "determinant" "determination"
#> [109] "determine" "detritus" "develop" "die"
#> [113] "disappear" "discontinuance" "discontinuation" "discontinue"
#> [117] "disentanglement" "dispatch" "dissolution" "dividend"
#> [121] "dole" "dollop" "doom" "dying"
#> [125] "end" "endgame" "ending" "ensue"
#> [129] "eventuate" "execute" "exit" "expiration"
#> [133] "expire" "explanation" "exterminate" "extinction"
#> [137] "extinguishment" "extreme" "extremity" "fare"
#> [141] "fatality" "fate" "filings" "finale"
#> [145] "finality" "finalize" "finding" "finding-out"
#> [149] "finis" "finish" "finishing" "floor"
#> [153] "follow" "footballer" "foredoom" "fortune"
#> [157] "fossil" "fragment" "Friday" "frontier"
#> [161] "future" "game" "games-player" "gamester"
#> [165] "go" "goal" "gob" "gobbet"
#> [169] "going" "grave" "guard" "gun"
#> [173] "half" "halt" "halver" "hedge"
#> [177] "helping" "hold" "holdover" "hunk"
#> [181] "husks" "immolate" "inevitability" "infielder"
#> [185] "interest" "interface" "interpretation" "issue"
#> [189] "jock" "jumper" "kill" "kismet"
#> [193] "knell" "leaving" "leavings" "leftovers"
#> [197] "limen" "limit" "limitation" "line"
#> [201] "lineman" "liquidate" "lockout" "lot"
#> [205] "lump" "lynch" "march" "mark"
#> [209] "martyr" "martyrize" "maturation" "maturity"
#> [213] "maximum" "measure" "meed" "mess"
#> [217] "mete" "modicum" "moiety" "moira"
#> [221] "morsel" "nip" "object" "objective"
#> [225] "offscourings" "orts" "outcome" "outfield"
#> [229] "outfielder" "paring" "parings" "part"
#> [233] "particle" "parting" "pass" "passing"
#> [237] "payoff" "peak" "percentage" "perfect"
#> [241] "perfection" "period" "perish" "perishing"
#> [245] "perorate" "piece" "pinnacle" "planets"
#> [249] "player" "poison" "poloist" "portion"
#> [253] "prey" "proportion" "prove" "pugilist"
#> [257] "purge" "pursuit" "quantum" "quarry"
#> [261] "quarterback" "quietus" "quintain" "quit"
#> [265] "quota" "racer" "rags" "rake-off"
#> [269] "rasher" "ration" "reason" "refrain"
#> [273] "refuse" "release" "relics" "relinquish"
#> [277] "remainder" "remains" "remnant" "renounce"
#> [281] "residue" "residuum" "resolution" "resolve"
#> [285] "resolving" "rest" "result" "reward"
#> [289] "riddling" "ripeness" "roach" "rubbish"
#> [293] "ruins" "rump" "sacrifice" "sawdust"
#> [297] "scoop" "scourings" "scrap" "scraps"
#> [301] "scratch" "scrub" "segment" "shadow"
#> [305] "shard" "share" "shaving" "shavings"
#> [309] "shiver" "shred" "skater" "slaughter"
#> [313] "slay" "sleep" "slice" "sliver"
#> [317] "smithereen" "snack" "snatch" "snip"
#> [321] "snippet" "solution" "solving" "splinter"
#> [325] "sport" "sportsman" "stake" "stalemate"
#> [329] "stand" "standoff" "standstill" "stars"
#> [333] "start" "starve" "stay" "stitch"
#> [337] "stock" "stop" "stoppage" "straw"
#> [341] "strike" "stubble" "stump" "succumb"
#> [345] "summit" "survival" "sweepings" "tackle"
#> [349] "tailback" "target" "tatter" "teleology"
#> [353] "term" "terminal" "terminate" "termination"
#> [357] "terminus" "threshold" "tip" "to"
#> [361] "top" "toxophilite" "trace" "ultimate"
#> [365] "unfold" "unraveling" "unriddling" "unscrambling"
#> [369] "unspinning" "untangling" "untwisting" "unweaving"
#> [373] "upshot" "utmost" "uttermost" "vanish"
#> [377] "vestige" "walkout" "waste" "weird"
#> [381] "windup" "wingback" "working" "working-out"
#> [385] "wrestler"
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