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Dictionary Search Results using Damerau-Levenshtein distance in T-SQL

Here are the results of your fuzzy-string dictionary search for “wren” with Change Limit: [1] [2]

(Found more than 100 similar words, so Change Limit cannot be increased.)
to automatically search another random word after seconds.

194 similar words found! Changes to Transform each Found Word to your word are shown as:
 remove a letter ~ replace a letter ~ swap two letters ~ _add a letter from your word
(Use the links in the Changes column to see more Transformation details.)

Found WordScrabble ScoreSearched PreviouslyFound PreviouslyChangesTo Transform to your Word
wren7822168(None) 
bren65629561bren
ween75835461ween
wen66249601w_en
when105723041when
wrens85016241wrens
amen66733152amen
are37874572are_
area45843392area
arena55323812arena
arene55329412arene
ares45871022ares
arpen74418042arpen
been65335782been
ben56554922_ben
bran65740382bran
bred75130972bred
bree67241262bree
brens75823362brens
brent75734132brent
brew95023562brew
brin67038192brin
cred76530882cred
crew96122672crew
den47554342_den
dree56638322dree
dreg66821652dreg
drek96321082drek
drew86221672drew
en28052392__en
ere36352772ere_
ern35738352er_n
erne46727422erne
even75222272even
eyen76223662eyen
fen66851352_fen
fern76129322fern
free75940182free
frena85915272frena
fret75845042fret
gaen57329602gaen
gen45950512_gen
gien56330022gien
glen56027202glen
gran56335012gran
gree56641562gree
green65522142green
grew85620262grew
grey85624042grey
grin55733722grin
haen76229452haen
hen67555272_hen
hern76134892hern
ire36943172ire_
ired55131872ired
ires45639282ires
iron46728462iron
keen84830402keen
ken76343982_ken
kern85326212kern
lien45339802lien
men59252842_men
mien65028352mien
omen66828182omen
open66427002open
ore36661832ore_
ores46056682ores
oven76624142oven
owsen84210192owsen
oxen116218592oxen
peen65938082peen
pen56558842_pen
pree67044732pree
preen75925052preen
prep86427672prep
prex135722972prex
prey96228482prey
prez156126312prez
ran38266612_ran
re26153742_re_
reb55844962_reb
rec55645462_rec
red46755802_red
ree37974072_ree
ref66053292_ref
reg46146492_reg
rei35647252_rei
rein46040892_rein
rem56150042_rem
rend56136572_rend
rent46661242_rent
rep55847802_rep
res35565042_res
ret35982832_ret
rev65336622_rev
rex105740992_rex
rin36663182_rin
run36244982_run
seen46943122seen
sen36058522_sen
siren54525822siren
syren85216742syren
teen45938202teen
ten35856112_ten
tern46134802tern
then78429692then
tree47745812tree
treen55622752treen
tref77030992tref
trek86222312trek
trend64817452trend
tres46542902tres
tret46653532tret
trey77228792trey
tween84413742tween
urea46528052urea
urn35731462ur_n
wae67556952wae_
waes76048602waes
wain75840192wain
waken124818472waken
wan66761932w_an
wane76344712wane
warden104515512warden
ware76254722ware_
wared96339872wared
wares88250582wares
warn75239322warn
warren95012852warren
waxen154911812waxen
we57043452w_e_
wean75734352wean
web85735562w_eb
wed75843622w_ed
wee66760812w_ee
weed85637512weed
week116428152week
weel75834082weel
weens85224052weens
weeny115316162weeny
weep95131652weep
weer75535092weer
wees76249122wees
weet75254152weet
wend85330452w_end
wens76337932w_ens
went76051872w_ent
were76238332were
wert79749822wert
wet65966622w_et
whee105429592whee
wheen115016052wheen
whens114618762whens
whet105133782whet
whew137618782whew
whey135018712whey
whin105225692whin
widen94717972widen
win66456292w_in
wine74953422wine
wire75839812wire_
wired95327642wired
wirer85124952wirer
wires86034912wires
wizen175813862wizen
woe66651242woe_
woes76440662woes
woken124614972woken
women104619252women
won66252062w_on
wore77144672wore_
worn75631752worn
worsen95513872worsen
woven115215172woven
wrang94716112wrang
wrap96821972wrap
wreak125513272wreak
wreck144611042wreck
wrench14439352wrench
wrest84925432wrest
wried95518562wried
wrier84521752wrier
wries85827742wries
wring95920712wring
writ75537912writ
wrong94712322wrong
wrung9549802wrung
wry96524702wr_y
wryer11489302wryer
wye96331972wye_
wyes105727502wyes
wyn95921442w_yn
wynn105811292wynn
yen66847382_yen

Search took 2 seconds overall (including website activity, plus SQL activity in the following phases):

  1. Length Filter: Limit the application of DLD to words with length difference of no more than the Change Limit.
  2. DLD Change Limit: Apply DLD to each remaining word, limiting each comparison according to the Change Limit.
  3. Display Results: Return the results, with similar words marked up to highlight differences.
SeqSearch PhaseWords CheckedWords MatchedSecondsWords Per Sec
1Length Filter178691298720.0762351197.4
2DLD Change Limit298721940.98630296.1
3Display Results1941940.0434511.6
 (SQL Overall)1786911941.105161711.3
 
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