A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to sniggern in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
sniggern (0) - 9 freq
sniggert (1) - 5 freq
sniggerin (1) - 6 freq
snigger' (1) - 1 freq
sniggers (1) - 5 freq
staggern (2) - 1 freq
sniggered (2) - 4 freq
biggers (3) - 9 freq
snugged (3) - 1 freq
snitter (3) - 1 freq
shagger (3) - 1 freq
swigged (3) - 1 freq
singer (3) - 41 freq
nigged (3) - 1 freq
bigger (3) - 229 freq
snicheren (3) - 2 freq
sniffer (3) - 3 freq
snickerin (3) - 5 freq
snippen (3) - 2 freq
shigglin (3) - 1 freq
signer (3) - 2 freq
sixern (3) - 3 freq
beigger (3) - 1 freq
trigger (3) - 13 freq
anggert (3) - 1 freq
sniggern (0) - 9 freq
sniggerin (1) - 6 freq
sniggers (2) - 5 freq
snigger' (2) - 1 freq
sniggert (2) - 5 freq
sniggered (3) - 4 freq
staggern (3) - 1 freq
swaggerin (4) - 5 freq
staggerin (4) - 8 freq
staggeren (4) - 1 freq
snoggin (4) - 2 freq
staggert (5) - 4 freq
snicherin (5) - 1 freq
slagger (5) - 2 freq
shaggers (5) - 2 freq
kiggerin (5) - 1 freq
staigger (5) - 1 freq
swaggers (5) - 4 freq
snogged (5) - 2 freq
slugger (5) - 1 freq
swagger (5) - 13 freq
staggers (5) - 4 freq
stagger (5) - 15 freq
smugger (5) - 1 freq
snagged (5) - 1 freq
SoundEx code - S526
snickerin - 5 freq
smacher - 2 freq
singers - 54 freq
singer - 41 freq
singer's - 2 freq
snocherin - 7 freq
smokers' - 4 freq
sincerely - 8 freq
sincere - 13 freq
sneegart - 1 freq
sneegert - 1 freq
sniggerin - 6 freq
sincerity - 3 freq
snochert - 1 freq
snickert - 1 freq
smoker - 2 freq
smasher - 4 freq
sanquhar - 9 freq
semi-circles - 1 freq
smickered - 1 freq
smickert - 1 freq
snicheren - 2 freq
sniggers - 5 freq
smugger - 1 freq
smickerin - 2 freq
sangria - 2 freq
snichered - 2 freq
snicher - 3 freq
skincare - 1 freq
smachrie - 2 freq
sniggered - 4 freq
singers' - 2 freq
smokers - 7 freq
sniggern - 9 freq
sniggert - 5 freq
smoker's - 2 freq
snooker - 16 freq
synchronised - 1 freq
snocher - 6 freq
snochered - 1 freq
smackaroonies - 2 freq
snicker - 1 freq
shae-makker - 1 freq
shae-maakers - 1 freq
smaikrie - 1 freq
sensory-seutid - 1 freq
sneegired - 1 freq
sneegirs - 1 freq
sanger - 1 freq
sheanchara - 1 freq
snicheran - 1 freq
snicherin - 1 freq
snickered - 1 freq
snigger' - 1 freq
snichert - 2 freq
sanchar - 1 freq
smacker - 3 freq
syncretism - 1 freq
snashers - 1 freq
snickerin' - 1 freq
shoemaker-levy - 1 freq
smacherie - 1 freq
synchronise - 1 freq
snookert - 1 freq
sensoryattachmentintervention - 1 freq
sensory - 4 freq
snochrie - 12 freq
singer-sangwriters - 1 freq
sanskrit - 1 freq
semi-circle - 1 freq
somequhaar - 1 freq
smicker - 1 freq
€œsincerely - 1 freq
synchronically - 1 freq
smacherry - 2 freq
sunscreem - 6 freq
smokiered - 16 freq
samcornwell - 1 freq
skinnycortado - 1 freq
sincerest - 1 freq
shingaurds - 1 freq
smoocher - 3 freq
shaunwkearney - 1 freq
sunnygradio - 1 freq
sensored - 1 freq
sonjahern - 1 freq
sinker - 1 freq
samgray - 29 freq
seanmccrory - 1 freq
snookers - 1 freq
sensors - 1 freq
snickers - 1 freq
sammgreer - 14 freq
suncream - 1 freq
MetaPhone code - SNKRN
snickerin - 5 freq
sniggerin - 6 freq
sniggern - 9 freq
snickerin' - 1 freq
SNIGGERN
Time to execute Levenshtein function - 0.296702 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 - 0.394387 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 - 0.027465 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 - 0.037150 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.