A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to snirk in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
snirk (0) - 1 freq
snirt (1) - 3 freq
shirk (1) - 2 freq
smirk (1) - 61 freq
spirk (1) - 3 freq
stirk (1) - 6 freq
snook (2) - 2 freq
shizk (2) - 1 freq
virk (2) - 1 freq
sark (2) - 122 freq
stik (2) - 5 freq
stick (2) - 372 freq
snip (2) - 4 freq
snack (2) - 7 freq
sniff (2) - 28 freq
senir (2) - 1 freq
jirk (2) - 1 freq
slink (2) - 1 freq
smirr (2) - 39 freq
smirkt (2) - 1 freq
snaik (2) - 2 freq
shire (2) - 26 freq
snite (2) - 2 freq
sherk (2) - 1 freq
seink (2) - 1 freq
snirk (0) - 1 freq
stirk (2) - 6 freq
smirk (2) - 61 freq
spirk (2) - 3 freq
snirt (2) - 3 freq
shirk (2) - 2 freq
shark (3) - 21 freq
sperk (3) - 3 freq
snorl (3) - 20 freq
sterk (3) - 8 freq
snore (3) - 6 freq
sink (3) - 96 freq
snarl (3) - 9 freq
snirkin (3) - 1 freq
snek (3) - 11 freq
stairk (3) - 4 freq
snare (3) - 13 freq
spark (3) - 35 freq
stark (3) - 32 freq
seink (3) - 1 freq
stork (3) - 3 freq
nark (3) - 1 freq
snirket (3) - 1 freq
snorks (3) - 1 freq
snuck (3) - 2 freq
SoundEx code - S562
simmers - 16 freq
scunnersome - 53 freq
snirket - 1 freq
scunners - 11 freq
smirkin - 11 freq
skunnersum - 3 freq
somersault - 6 freq
summer's - 15 freq
smuirichs - 2 freq
smuirich - 4 freq
smirks - 11 freq
seniors - 1 freq
smirk - 61 freq
sunrise - 14 freq
simmer's - 29 freq
smuirs - 3 freq
smoors - 6 freq
summarise - 1 freq
smirked - 18 freq
smirkt - 1 freq
smirkit - 11 freq
somewhares - 1 freq
summarised - 2 freq
snorks - 1 freq
skunners - 2 freq
smooriken - 1 freq
scenarios - 6 freq
snores - 6 freq
smoorichin - 2 freq
shamrocks - 1 freq
snorklin - 1 freq
simmoersettin - 1 freq
sneers - 1 freq
summers - 13 freq
sinners - 8 freq
simmer-spreckled - 1 freq
shamrock - 3 freq
smarrach - 2 freq
scunnersomely - 1 freq
somewhaurs - 2 freq
snorkles - 4 freq
snorkle - 1 freq
schemers - 3 freq
swimmers - 2 freq
shunners - 7 freq
sïnners - 6 freq
snares - 4 freq
snirkit-up - 1 freq
snorked - 1 freq
smuirichin - 1 freq
somersaults - 3 freq
smirkan - 1 freq
scunner's - 1 freq
smoorich - 3 freq
smoorikin - 7 freq
sunrises - 2 freq
sunrays - 2 freq
sinrise - 1 freq
somewheres - 1 freq
snirkin - 1 freq
sweemers - 1 freq
sumwheres - 1 freq
smuirach - 1 freq
smoorikins - 2 freq
simmers' - 1 freq
smirkle - 9 freq
shinners - 4 freq
smirklin - 1 freq
sonorous - 2 freq
seòmraichean - 1 freq
schmerz - 2 freq
schmerzenloses - 1 freq
smores - 1 freq
samarkand - 1 freq
scunnersum - 1 freq
snorkin - 1 freq
samarkan - 9 freq
samarkand' - 1 freq
smours - 1 freq
sun-worshipper - 1 freq
snorri's - 1 freq
'synergy' - 1 freq
synergy - 3 freq
sumwhaurs - 1 freq
smouriched - 1 freq
smourich - 1 freq
somerset - 1 freq
smirrs - 1 freq
simmerhoose - 1 freq
scunneris - 1 freq
snirk - 1 freq
sommersaults - 1 freq
sanners - 2 freq
semi-right - 1 freq
€˜scunnersome - 1 freq
smoorach - 2 freq
summarises - 1 freq
samericans - 1 freq
simmerÂ’s - 1 freq
smoorikens - 2 freq
“shunners” - 1 freq
scunners' - 1 freq
scammers - 1 freq
smirr's - 1 freq
summercanfeckaff - 1 freq
MetaPhone code - SNRK
snirk - 1 freq
SNIRK
Time to execute Levenshtein function - 0.217889 milliseconds
The Levenshtein distance is the number of characters you have to replace, insert or delete to transform one word into another, its useful for detecting typos and alternative spellings
Time to execute Double Levenshtein function - 0.389932 milliseconds
In a stroke of genius, this runs the Levenshtein function twice, once without vowels and adds the distance together, giving double weight to consonants.
Time to execute SoundEx function - 0.028865 milliseconds
Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling.
Time to execute MetaPhone function - 0.038575 milliseconds
Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation.[1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar.
Time to execute Manually curated function - 0.000906 milliseconds
Manual Curation uses a lookup table / lexicon which has been created by hand which links words to their lemmas, and includes obvious typos and spelling variations. Not all words are covered.