A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to scunnèr in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
scunnèr (0) - 1 freq
scunnèrt (1) - 1 freq
scunner (2) - 97 freq
hunnèr (2) - 24 freq
unnèr (2) - 27 freq
scunnért (2) - 5 freq
wunnèr (2) - 1 freq
scunn (3) - 1 freq
plunnér (3) - 1 freq
shunner (3) - 2 freq
scunder (3) - 1 freq
hunnèrs (3) - 8 freq
skunner (3) - 3 freq
scattèr (3) - 1 freq
wunnér (3) - 2 freq
dennèr (3) - 4 freq
scunnert (3) - 79 freq
hunnér (3) - 3 freq
scunnerd (3) - 5 freq
hinnèr (3) - 1 freq
scunners (3) - 12 freq
stannèrt (3) - 7 freq
scootèr (3) - 1 freq
wunnèrt (3) - 2 freq
scanner (3) - 1 freq
scunnèr (0) - 1 freq
scunnèrt (2) - 1 freq
scunnért (4) - 5 freq
unnèr (4) - 27 freq
wunnèr (4) - 1 freq
hunnèr (4) - 24 freq
scunner (4) - 97 freq
dennèr (5) - 4 freq
scattèr (5) - 1 freq
scootèr (5) - 1 freq
hinnèr (5) - 1 freq
stannèrt (5) - 7 freq
scanner (5) - 1 freq
scunners (6) - 12 freq
coontèr (6) - 1 freq
squannèrin (6) - 1 freq
cunnar (6) - 1 freq
unnér (6) - 5 freq
stunner (6) - 9 freq
wunnèrt (6) - 2 freq
scunder (6) - 1 freq
shunner (6) - 2 freq
scunnerd (6) - 5 freq
scunn (6) - 1 freq
hunnèrs (6) - 8 freq
SoundEx code - S560
smirr - 39 freq
scunner - 97 freq
simmer - 314 freq
somewhaur - 72 freq
smoor - 28 freq
sumwhaur - 6 freq
somewhere - 74 freq
sooner - 29 freq
summer - 202 freq
skimmer - 7 freq
suiner - 27 freq
smear - 2 freq
sonar - 1 freq
senior - 40 freq
scenario - 6 freq
shuiner - 6 freq
smaa-er - 2 freq
skunner - 3 freq
smore - 7 freq
sneer - 9 freq
shimmer - 4 freq
sinner - 10 freq
sumwhere - 6 freq
senir - 1 freq
seener - 14 freq
smaaer - 7 freq
somewhar - 7 freq
somewherr - 2 freq
shaner - 3 freq
siner - 1 freq
samurai - 7 freq
snare - 13 freq
sumwhar - 1 freq
scenery - 16 freq
somewhur - 4 freq
sweemer - 1 freq
somwhaur - 1 freq
swimmer - 3 freq
'simmer - 1 freq
sinnerie - 1 freq
scunnèr - 1 freq
samaria - 7 freq
sïnner - 1 freq
smawer - 9 freq
shiner - 3 freq
sumer - 1 freq
smirry - 1 freq
'somewhaur - 1 freq
shöner - 2 freq
shoner - 1 freq
summarie - 3 freq
skinnier - 1 freq
shuner - 1 freq
snaar - 1 freq
snorry - 1 freq
summur - 1 freq
snore - 6 freq
simmir - 1 freq
smuir - 4 freq
smora - 1 freq
sma'er - 2 freq
smur - 3 freq
summer' - 1 freq
smoar - 1 freq
summ'ry - 1 freq
smaer - 3 freq
suner - 3 freq
somewhaar - 5 freq
summary - 3 freq
sma-er - 1 freq
schooner - 2 freq
smaar - 2 freq
suimmer - 1 freq
sheener - 1 freq
sumwher - 1 freq
scanner - 1 freq
€˜simmer - 1 freq
sumwhair - 1 freq
skinner - 1 freq
€œscunner - 1 freq
€˜scunner - 1 freq
€œsmirr - 1 freq
shunner - 2 freq
smaÂ’er - 1 freq
shinner - 1 freq
'skunnyr' - 1 freq
sconir - 1 freq
senario - 1 freq
seanair - 1 freq
snooerry - 1 freq
shanner - 1 freq
MetaPhone code - SKNR
scunner - 97 freq
skunner - 3 freq
scunnèr - 1 freq
skinnier - 1 freq
seigneur - 1 freq
sickener - 1 freq
scanner - 1 freq
skinner - 1 freq
€œscunner - 1 freq
€˜scunner - 1 freq
signer - 2 freq
'skunnyr' - 1 freq
sconir - 1 freq
séigneur - 1 freq
SCUNNÈR
Time to execute Levenshtein function - 0.361568 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 - 0.691625 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 - 0.048721 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 - 0.061587 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 - 0.001118 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.