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 snicher in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
snicher (0) - 3 freq
snichert (1) - 2 freq
snicker (1) - 1 freq
snocher (1) - 6 freq
sicher (1) - 1 freq
nicher (1) - 5 freq
sniffer (2) - 3 freq
snicherin (2) - 1 freq
laicher (2) - 5 freq
snitchers (2) - 1 freq
snickers (2) - 1 freq
snatcher (2) - 1 freq
sicker (2) - 8 freq
richer (2) - 15 freq
siccer (2) - 3 freq
smicker (2) - 1 freq
inither (2) - 7 freq
sticker (2) - 10 freq
shither (2) - 4 freq
snichtert (2) - 1 freq
snochert (2) - 1 freq
snickert (2) - 1 freq
seiched (2) - 1 freq
ficher (2) - 4 freq
slither (2) - 6 freq
snicher (0) - 3 freq
snocher (1) - 6 freq
nicher (2) - 5 freq
sicher (2) - 1 freq
snichert (2) - 2 freq
snicker (2) - 1 freq
snicheren (3) - 2 freq
ncher (3) - 1 freq
snochert (3) - 1 freq
snicheran (3) - 1 freq
snochter (3) - 1 freq
anocher (3) - 1 freq
stacher (3) - 3 freq
snichered (3) - 2 freq
smacher (3) - 2 freq
sanchar (3) - 1 freq
snatcher (3) - 1 freq
snicherin (3) - 1 freq
taicher (4) - 3 freq
venacher (4) - 1 freq
nicer (4) - 6 freq
anchor (4) - 28 freq
knicker (4) - 2 freq
snitter (4) - 1 freq
niche (4) - 7 freq
SoundEx code - S526
snickerin - 5 freq
smacher - 2 freq
singers - 55 freq
singer - 47 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
smokers - 8 freq
sing-greet - 1 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
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 - SNXR
snicher - 3 freq
snocher - 6 freq
sanchar - 1 freq
snatcher - 1 freq
snochrie - 12 freq
SNICHER
Time to execute Levenshtein function - 0.188176 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 - 0.357453 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 - 0.027605 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 - 0.037991 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 - 0.000961 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.