A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to sawmiil in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
sawmiil (0) - 1 freq
sawmill (1) - 9 freq
cawmill (2) - 2 freq
saw-mill (2) - 1 freq
sammil (2) - 1 freq
swirl (3) - 16 freq
sempil (3) - 8 freq
newmill (3) - 1 freq
hawaii (3) - 5 freq
sanfiel (3) - 1 freq
fammil (3) - 1 freq
awfil (3) - 4 freq
saemin (3) - 1 freq
saidill (3) - 1 freq
aweill (3) - 6 freq
sweil (3) - 1 freq
samin (3) - 4 freq
sawnie (3) - 5 freq
samain (3) - 1 freq
simpil (3) - 1 freq
sawins (3) - 1 freq
saicl (3) - 1 freq
hamil (3) - 2 freq
sammi (3) - 1 freq
sawin (3) - 11 freq
sawmiil (0) - 1 freq
sawmill (2) - 9 freq
sammil (3) - 1 freq
smuil (4) - 1 freq
sweil (4) - 1 freq
samuel (4) - 22 freq
swill (4) - 2 freq
cawmill (4) - 2 freq
saw-mill (4) - 1 freq
swirl (4) - 16 freq
simile (5) - 3 freq
smyl (5) - 1 freq
issymil (5) - 3 freq
swim (5) - 50 freq
swurl (5) - 4 freq
swaal (5) - 2 freq
swim- (5) - 1 freq
swirly (5) - 2 freq
sowel (5) - 87 freq
sowl (5) - 128 freq
swiem (5) - 1 freq
swivel (5) - 5 freq
swall (5) - 21 freq
smeyl (5) - 1 freq
sewel (5) - 1 freq
SoundEx code - S540
smile - 458 freq
snell - 81 freq
smell - 271 freq
snail - 33 freq
'senile - 1 freq
samuel - 22 freq
'samuel - 3 freq
smool - 4 freq
smaill - 1 freq
shammle - 1 freq
'smell - 2 freq
smiley - 11 freq
'smile - 1 freq
smuil - 1 freq
small - 75 freq
sun'll - 2 freq
smellie - 1 freq
smeyl - 1 freq
smyle - 2 freq
simile - 3 freq
smelly - 32 freq
sawmill - 9 freq
some'll - 1 freq
smelle - 1 freq
sum'll - 1 freq
shinnel - 2 freq
shimley - 1 freq
samuel' - 1 freq
sammil - 1 freq
somely - 1 freq
smyll - 2 freq
smæl - 1 freq
smael - 3 freq
'semmelie - 1 freq
semmelie - 8 freq
smale - 1 freq
smyl - 1 freq
'small' - 2 freq
sawmiil - 1 freq
somewhyle - 1 freq
sinnle - 1 freq
saw-mill - 1 freq
snaile - 1 freq
snellee - 1 freq
shemale - 1 freq
senile - 1 freq
seemly - 1 freq
snl - 2 freq
synily - 1 freq
sgoinneil - 1 freq
smyoll - 1 freq
sconnelly - 7 freq
MetaPhone code - SML
smile - 458 freq
smell - 271 freq
samuel - 22 freq
'samuel - 3 freq
smool - 4 freq
symbol - 28 freq
smaill - 1 freq
'smell - 2 freq
smiley - 11 freq
'smile - 1 freq
smuil - 1 freq
small - 75 freq
smellie - 1 freq
smeyl - 1 freq
smyle - 2 freq
simile - 3 freq
smelly - 32 freq
sawmill - 9 freq
some'll - 1 freq
smelle - 1 freq
sum'll - 1 freq
samuel' - 1 freq
sammil - 1 freq
somely - 1 freq
smyll - 2 freq
smæl - 1 freq
smael - 3 freq
'semmelie - 1 freq
semmelie - 8 freq
cymbal - 3 freq
smale - 1 freq
smyl - 1 freq
'small' - 2 freq
semblay - 1 freq
sawmiil - 1 freq
somewhyle - 1 freq
seembol - 1 freq
saw-mill - 1 freq
seemly - 1 freq
SAWMIIL
Time to execute Levenshtein function - 0.390727 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 - 0.559316 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 - 0.033431 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 - 0.038314 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 - 0.000891 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.