A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to sumburgh in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
sumburgh (0) - 16 freq
emburgh (2) - 1 freq
humbugs (3) - 5 freq
summur (3) - 1 freq
jedburgh (3) - 2 freq
hburgh (3) - 1 freq
scousburgh (3) - 1 freq
sunburnt (3) - 3 freq
sumbudy (3) - 3 freq
burgh (3) - 18 freq
sumbudee (3) - 5 freq
humbug (3) - 5 freq
roxburgh (3) - 1 freq
lumburt (3) - 1 freq
hamburg (3) - 3 freq
sumbuddy (3) - 8 freq
suburb (3) - 4 freq
newburgh (3) - 1 freq
suburbs (3) - 8 freq
saugh (4) - 8 freq
salzburg (4) - 1 freq
humours (4) - 1 freq
ambush (4) - 5 freq
smourin (4) - 1 freq
sumbidy (4) - 1 freq
sumburgh (0) - 16 freq
emburgh (3) - 1 freq
roxburgh (5) - 1 freq
newburgh (5) - 1 freq
scousburgh (5) - 1 freq
hamburg (5) - 3 freq
burgh (5) - 18 freq
hburgh (5) - 1 freq
jedburgh (5) - 2 freq
sumburghhead (6) - 3 freq
solbergs (6) - 1 freq
tombaugh (6) - 1 freq
smourich (6) - 1 freq
sumbarine (6) - 1 freq
umbrage (6) - 1 freq
edinburgh (6) - 349 freq
edenburgh (6) - 3 freq
sombre (6) - 6 freq
hamburger (6) - 1 freq
stoorburgh (6) - 1 freq
sumbudy (6) - 3 freq
sumbudee (6) - 5 freq
suburb (6) - 4 freq
suburbs (6) - 8 freq
sunburnt (6) - 3 freq
SoundEx code - S516
seen-everythin - 2 freq
snawbird - 1 freq
sniper - 3 freq
sumbarine - 1 freq
sunburnt - 3 freq
snaw-breaker - 4 freq
sombre - 6 freq
sunbricht - 1 freq
simperit - 1 freq
snobbery - 10 freq
scamper - 1 freq
snowfire - 1 freq
sinbrunt - 1 freq
sinburn - 2 freq
seen-iverythin - 1 freq
sniffer - 3 freq
shampooer - 1 freq
scampered - 2 freq
seinyie-brod - 1 freq
snappers - 2 freq
sumburgh - 16 freq
simperin - 1 freq
seen-everything - 1 freq
sniper's - 1 freq
samphire - 1 freq
snaabree - 1 freq
snobworts - 1 freq
scamperin - 2 freq
sinn-pooert - 2 freq
snowboardin - 1 freq
€œscamper - 1 freq
snawbreaker - 1 freq
seanburke - 1 freq
sumfar - 1 freq
snperhero - 2 freq
snperheroes - 1 freq
shaunbyrne - 1 freq
snowpiercer - 2 freq
sumburghairport - 1 freq
sumburghhead - 3 freq
snpers - 2 freq
snpforglasgow - 1 freq
schombergsoc - 1 freq
sheneybird - 3 freq
sinforianis - 1 freq
snowyfarmÂ… - 1 freq
MetaPhone code - SMR
smirr - 39 freq
simmer - 314 freq
smoor - 28 freq
summer - 202 freq
smear - 2 freq
smaa-er - 2 freq
cymru - 5 freq
smore - 7 freq
zimmer - 3 freq
sombre - 6 freq
smaaer - 7 freq
zoomer - 3 freq
samurai - 7 freq
'simmer - 1 freq
samaria - 7 freq
sumer - 1 freq
smirry - 1 freq
summarie - 3 freq
sumburgh - 16 freq
summur - 1 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
summary - 3 freq
sma-er - 1 freq
smaar - 2 freq
suimmer - 1 freq
€˜simmer - 1 freq
€œsmirr - 1 freq
smaÂ’er - 1 freq
xmur - 1 freq
SUMBURGH
Time to execute Levenshtein function - 0.201912 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 - 0.381360 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 - 0.030908 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 - 0.038115 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 - 0.000921 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.