A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to seemly in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
seemly (0) - 1 freq
seely (1) - 4 freq
seekly (1) - 1 freq
seerly (1) - 13 freq
needly (2) - 4 freq
seemt (2) - 109 freq
neerly (2) - 1 freq
seemon (2) - 17 freq
seem'd (2) - 1 freq
seemes (2) - 1 freq
skeetly (2) - 1 freq
stealy (2) - 2 freq
skeily (2) - 1 freq
seem (2) - 392 freq
deeply (2) - 36 freq
deedly (2) - 2 freq
unseemly (2) - 2 freq
haemly (2) - 1 freq
shelly (2) - 2 freq
peebly (2) - 2 freq
seel (2) - 1 freq
steely (2) - 3 freq
jeemy (2) - 3 freq
seeminly (2) - 17 freq
seem't (2) - 24 freq
seemly (0) - 1 freq
seekly (2) - 1 freq
seerly (2) - 13 freq
seely (2) - 4 freq
smelly (3) - 32 freq
femly (3) - 3 freq
seemlar (3) - 9 freq
skely (3) - 1 freq
seeminly (3) - 17 freq
sleely (3) - 1 freq
seemin (3) - 14 freq
faemly (3) - 1 freq
seemed (3) - 564 freq
seemd (3) - 4 freq
selly (3) - 1 freq
semply (3) - 2 freq
seems (3) - 517 freq
solemly (3) - 2 freq
steely (3) - 3 freq
seemit (3) - 20 freq
skeely (3) - 22 freq
stealy (3) - 2 freq
unseemly (3) - 2 freq
seemes (3) - 1 freq
seel (3) - 1 freq
SoundEx code - S540
smile - 450 freq
snell - 78 freq
smell - 263 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 - 12 freq
'smile - 1 freq
smuil - 1 freq
small - 73 freq
sun'll - 2 freq
smellie - 1 freq
smeyl - 1 freq
smyle - 2 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
simile - 2 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 - 450 freq
smell - 263 freq
samuel - 22 freq
'samuel - 3 freq
smool - 4 freq
symbol - 28 freq
smaill - 1 freq
'smell - 2 freq
smiley - 12 freq
'smile - 1 freq
smuil - 1 freq
small - 73 freq
smellie - 1 freq
smeyl - 1 freq
smyle - 2 freq
smelly - 32 freq
sawmill - 9 freq
some'll - 1 freq
smelle - 1 freq
sum'll - 1 freq
samuel' - 1 freq
simile - 2 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
SEEMLY
Time to execute Levenshtein function - 0.256714 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 - 0.393741 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 - 0.028713 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 - 0.038622 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.