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 senior in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
senior (0) - 40 freq
sentor (1) - 1 freq
senir (1) - 1 freq
seniors (1) - 2 freq
tenior (1) - 1 freq
tenor (2) - 4 freq
reniour (2) - 2 freq
sector (2) - 101 freq
sexier (2) - 1 freq
censor (2) - 3 freq
sender (2) - 2 freq
senile (2) - 1 freq
ken-or (2) - 1 freq
mentor (2) - 2 freq
senin' (2) - 1 freq
sensors (2) - 1 freq
denier (2) - 1 freq
sensory (2) - 4 freq
senator (2) - 2 freq
junior (2) - 30 freq
sentir (2) - 1 freq
señor (2) - 1 freq
vendor (2) - 1 freq
union (3) - 192 freq
sanity (3) - 5 freq
senior (0) - 40 freq
senir (1) - 1 freq
sentor (2) - 1 freq
tenior (2) - 1 freq
seniors (2) - 2 freq
seener (3) - 14 freq
seanair (3) - 1 freq
sentir (3) - 1 freq
senario (3) - 1 freq
senator (3) - 2 freq
junior (3) - 30 freq
suner (3) - 3 freq
siner (3) - 1 freq
sonar (3) - 1 freq
sensory (3) - 4 freq
sneer (3) - 9 freq
snaar (3) - 1 freq
snore (3) - 6 freq
senile (3) - 1 freq
sexier (3) - 1 freq
tenor (3) - 4 freq
denier (3) - 1 freq
sender (3) - 2 freq
reniour (3) - 2 freq
snib (4) - 5 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 - SNR
sooner - 29 freq
suiner - 27 freq
sonar - 1 freq
senior - 40 freq
scenario - 6 freq
cinner - 1 freq
sneer - 9 freq
sinner - 10 freq
senir - 1 freq
seener - 14 freq
siner - 1 freq
snare - 13 freq
scenery - 16 freq
sinnerie - 1 freq
sïnner - 1 freq
cenrre - 1 freq
snaar - 1 freq
snorry - 1 freq
snore - 6 freq
suner - 3 freq
xnair - 1 freq
senario - 1 freq
seanair - 1 freq
snooerry - 1 freq
SENIOR
Time to execute Levenshtein function - 0.184409 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 - 0.336759 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 - 0.027958 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 - 0.037044 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 - 0.000939 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.