A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

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

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

Similar words to smell in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
smell (0) - 263 freq
snell (1) - 78 freq
smyll (1) - 2 freq
stell (1) - 31 freq
smelly (1) - 32 freq
small (1) - 73 freq
shell (1) - 40 freq
'smell (1) - 2 freq
smeyl (1) - 1 freq
swell (1) - 17 freq
smelt (1) - 43 freq
smells (1) - 50 freq
smellt (1) - 3 freq
spell (1) - 158 freq
mell (1) - 23 freq
smelle (1) - 1 freq
sell (1) - 164 freq
steel (2) - 102 freq
unsmell (2) - 1 freq
shelt (2) - 28 freq
sheil (2) - 15 freq
mall (2) - 4 freq
shill (2) - 4 freq
shella (2) - 3 freq
sweil (2) - 1 freq
smell (0) - 263 freq
smelle (1) - 1 freq
smelly (1) - 32 freq
small (1) - 73 freq
smyll (1) - 2 freq
mell (2) - 23 freq
sell (2) - 164 freq
smellie (2) - 1 freq
smellt (2) - 3 freq
smaill (2) - 1 freq
smyoll (2) - 1 freq
spell (2) - 158 freq
'smell (2) - 2 freq
smells (2) - 50 freq
stell (2) - 31 freq
shell (2) - 40 freq
snell (2) - 78 freq
smeyl (2) - 1 freq
smelt (2) - 43 freq
swell (2) - 17 freq
smelled (3) - 11 freq
scull (3) - 1 freq
smellin (3) - 14 freq
srella (3) - 1 freq
mull (3) - 33 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
SMELL
Time to execute Levenshtein function - 0.200261 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 - 0.370957 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 - 0.027026 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 - 0.036792 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 - 0.000869 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.