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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 “wept” 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.

195 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
wept9563505(None) 
kept106232951kept
lept66440881lept
sept65844361sept
swept105720601swept
weet75254151weet
weft105435011weft
welt75547861welt
went76051871went
wert79749821wert
west75748081west
wet65966621we_t
adept81219642adept
apt57352542_apt
beat66168302beat
beet66457542beet
belt65754032belt
bent67759912bent
best66355322best
bet58376672be_t
bewept13410322bewept
celt65646712celt
cent67451012cent
cep75736332cep_
cepe84926652cepe
ceps86125952ceps
clept95725772clept
crept95125892crept
debt77139022debt
deet57356582deet
deft85540222deft
delt57855272delt
dent57158412dent
depot85727922depot
depth114311852depth
dipt77339332dipt
dwelt94316522dwelt
eat36989052_eat
eft66038822_eft
et26964192_e_t
feat76458222feat
feet75352212feet
felt75146932felt
fest74949442fest
fet66471632fe_t
gelt56448012gelt
gent56954392gent
gest56149132gest
get47467462ge_t
heat77061422heat
heft106736292heft
hent76656382hent
hep86644142hep_
hest75950772hest
het67674312he_t
inept73622152inept
jest116738502jest
jet106754822je_t
keet85347352keet
kelt85343202kelt
kempt134318462kempt
kent86846972kent
kep96437212kep_
kepi105315642kepi
keps106027312keps
leapt75027472leapt
leet45957902leet
left76340482left
lent46360532lent
lepta75714392lepta
lest46956322lest
let36481472le_t
meat66359602meat
meet65350552meet
melt65752892melt
met56072432me_t
neat46356782neat
nest45548732nest
net36670292ne_t
nett46643232nett
newt76933742newt
next116631082next
opt57545542_opt
peat65967932peat
pelt67651082pelt
pent66559072pent
pep76447082pep_
pepo87622152pepo
peps85134512peps
pert66759322pert
pest65555292pest
pet56477302pe_t
rapt67245312rapt
reft75141272reft
rent46661242rent
rep55847802rep_
repo66027542repo
repot75132622repot
repp85418742repp
reps65937952reps
rest46459842rest
ret35982832re_t
seat47575562seat
sect67443622sect
sent46963012sent
septa75518082septa
septs75420602septs
set36681252se_t
sett45949052sett
sext117338092sext
slept75728102slept
sweat85628402sweat
sweet85330522sweet
teat45963632teat
tempt95124842tempt
tent46159862tent
tepa66021682tepa
test48651622test
tet39274992te_t
text116033932text
tweet84823982tweet
unwept11389812unwept
vent76049052vent
vert77249372vert
vest75743602vest
vet65958522ve_t
vext146927762vext
waft106139002waft
wait75553692wait
want76156172want
wap86553372wap_
waps96642082waps
wart77866082wart
wast75655852wast
wat67378922w_at
watt75545412watt
we57043452we__
weak117126302weak
weal75838682weal
wean75734352wean
wear75836722wear
web85735562we_b
webs96622122webs
wecht13415442wecht
wed75843632we_d
weds86628942weds
wee66760812we_e
weed85637512weed
week116428152week
weel75834082weel
ween75835462ween
weep95131652weep
weeps104120562weeps
weepy134212592weepy
weer75535092weer
wees76249122wees
weest85026772weest
weets85427722weets
wefts116715492wefts
weir76019922weir
weka117013872weka
weld84727732weld
well75832042well
welts85225192welts
wen66249602we_n
wend85330452wend
wens76337932wens
were76238332were
wests85727002wests
wets75940292wets
what105434072what
wheat114924572wheat
whet105133782whet
whipt135317422whipt
whit104834172whit
wilt76246302wilt
wipe94830292wipe
wist78049302wist
wit66563782w_it
wont75842502wont
wop87145132wop_
wops96634152wops
wort76654752wort
wost76544362wost
wot610467482w_ot
wrapt105123182wrapt
wrest84925432wrest
writ75537912writ
yep86638962yep_
yeps95924402yeps
yet66960692ye_t
yett76434492yett
zep147129142zep_
zeps156019342zeps
zest136035702zest

Search took 3 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 Filter178691298720.313570897.8
2DLD Change Limit298721951.76316943.8
3Display Results1951950.0464239.1
 (SQL Overall)1786911952.12284208.8
 
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