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 homes in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
homes (0) - 10 freq
hoes (1) - 2 freq
holes (1) - 71 freq
hokes (1) - 1 freq
hames (1) - 49 freq
homs (1) - 1 freq
comes (1) - 926 freq
pomes (1) - 1 freq
hoses (1) - 1 freq
himes (1) - 4 freq
holmes (1) - 16 freq
home' (1) - 2 freq
homer (1) - 1 freq
howes (1) - 18 freq
'homes (1) - 1 freq
hopes (1) - 37 freq
home (1) - 273 freq
domes (1) - 2 freq
omen (2) - 5 freq
hams (2) - 10 freq
sores (2) - 3 freq
hoids (2) - 2 freq
cokes (2) - 2 freq
hovers (2) - 3 freq
modes (2) - 2 freq
homes (0) - 10 freq
homs (1) - 1 freq
himes (1) - 4 freq
hames (1) - 49 freq
domes (2) - 2 freq
hopes (2) - 37 freq
home (2) - 273 freq
hams (2) - 10 freq
hums (2) - 3 freq
hms (2) - 8 freq
haimes (2) - 3 freq
hems (2) - 8 freq
howes (2) - 18 freq
'homes (2) - 1 freq
hokes (2) - 1 freq
pomes (2) - 1 freq
comes (2) - 926 freq
holes (2) - 71 freq
hoses (2) - 1 freq
homer (2) - 1 freq
home' (2) - 2 freq
holmes (2) - 16 freq
hoes (2) - 2 freq
hawes (3) - 2 freq
times (3) - 911 freq
SoundEx code - H520
hauns - 507 freq
hames - 49 freq
hans - 205 freq
hings - 269 freq
hing - 567 freq
hung - 158 freq
hinng - 1 freq
haans - 26 freq
hens - 85 freq
himes - 4 freq
hamish - 44 freq
hink - 410 freq
hink- - 3 freq
hing's - 3 freq
hings-ah - 2 freq
hang - 48 freq
hen's - 9 freq
hanky - 16 freq
huns - 10 freq
hawns - 18 freq
'hnnnnnng - 1 freq
'hnnnnnnng - 1 freq
'hnnnnnnnnnnnnnng - 1 freq
'hang - 1 freq
hunk - 5 freq
hanks - 2 freq
hence - 33 freq
hymns - 19 freq
hankie - 15 freq
hinge - 5 freq
hunkie - 20 freq
hms - 8 freq
honk - 1 freq
hinks - 19 freq
hams - 10 freq
hame's - 6 freq
hannies - 3 freq
hens' - 4 freq
hinch - 2 freq
han's - 12 freq
hannah's - 1 freq
'hink - 5 freq
heng - 4 freq
haums - 1 freq
hammock - 4 freq
haan's - 8 freq
hawing - 1 freq
hingy - 7 freq
hung' - 1 freq
homes - 10 freq
heinz - 2 freq
hons - 1 freq
heinz's - 1 freq
hangs - 3 freq
haimes - 3 freq
hems - 8 freq
honey's - 17 freq
hunky - 2 freq
hainch - 2 freq
hings- - 1 freq
hnks - 1 freq
haines - 1 freq
hummocks - 1 freq
hummocky - 1 freq
honks - 1 freq
'hing - 8 freq
haun's - 4 freq
huns' - 1 freq
him's - 1 freq
henhoose - 7 freq
hennie's - 1 freq
hyon's - 1 freq
'homes - 1 freq
haims - 4 freq
hen-hoose - 13 freq
h'much - 1 freq
henhouse - 1 freq
hums - 3 freq
hinny's - 1 freq
hank - 7 freq
hinnies - 6 freq
homs - 1 freq
haens - 2 freq
henoose - 1 freq
honza - 1 freq
hains - 5 freq
homage - 5 freq
'hings - 5 freq
hinney's - 1 freq
hunch - 3 freq
hanns - 23 freq
hong - 5 freq
hance - 2 freq
hunkie- - 1 freq
'hen-hoose' - 1 freq
hennis - 1 freq
€˜homage - 1 freq
hingie - 1 freq
hing' - 1 freq
haeing - 4 freq
€™hink - 3 freq
€™hing - 2 freq
€™hings - 1 freq
€˜hink - 5 freq
hnc - 1 freq
hyenas - 6 freq
huang - 2 freq
huangsha - 1 freq
henk - 3 freq
€˜hings - 2 freq
€˜hing - 5 freq
€˜hence - 1 freq
''hink - 1 freq
ha'ing - 1 freq
‘hings - 1 freq
‘hink - 1 freq
Â’hings - 1 freq
'hings' - 2 freq
hume's - 3 freq
homewise - 1 freq
hunnies - 1 freq
hunnys - 1 freq
humza - 2 freq
MetaPhone code - HMS
hames - 49 freq
himes - 4 freq
hams - 10 freq
hame's - 6 freq
haums - 1 freq
homes - 10 freq
haimes - 3 freq
hems - 8 freq
him's - 1 freq
'homes - 1 freq
haims - 4 freq
hums - 3 freq
homs - 1 freq
hume's - 3 freq
humza - 2 freq
HOMES
hame - 2334 freq
home - 273 freq
hames - 49 freq
homes - 10 freq
haime - 26 freq
Time to execute Levenshtein function - 0.462693 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 - 0.638351 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 - 0.067124 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 - 0.036295 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 - 0.000874 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.