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 “healthy” in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
“healthy” (0) - 1 freq
unhealthy (4) - 9 freq
healthy' (4) - 1 freq
healthy (4) - 64 freq
“zat” (5) - 1 freq
“geets” (5) - 1 freq
'health (5) - 1 freq
healthers (5) - 1 freq
wealthy (5) - 11 freq
“weans” (5) - 2 freq
healthier (5) - 5 freq
healthily (5) - 1 freq
heaithy (5) - 1 freq
beatha” (5) - 1 freq
healthfu' (5) - 1 freq
“deaf” (5) - 1 freq
“away” (5) - 1 freq
health (5) - 133 freq
breathy (6) - 2 freq
sheathed (6) - 1 freq
wealtht (6) - 18 freq
“aye” (6) - 1 freq
“panic” (6) - 1 freq
heather (6) - 106 freq
“dee” (6) - 1 freq
“healthy” (0) - 1 freq
“geets” (8) - 1 freq
healthy (8) - 64 freq
“zat” (8) - 1 freq
unhealthy (8) - 9 freq
healthy' (8) - 1 freq
health (9) - 133 freq
“away” (9) - 1 freq
“pauls” (9) - 1 freq
“coortin” (9) - 1 freq
“deaf” (9) - 1 freq
“whiles” (9) - 1 freq
“honds” (9) - 1 freq
“doiter” (9) - 1 freq
healthfu' (9) - 1 freq
healthers (9) - 1 freq
healthier (9) - 5 freq
healthily (9) - 1 freq
“weans” (9) - 2 freq
beatha” (9) - 1 freq
'health (9) - 1 freq
“keeper” (10) - 1 freq
“bairns” (10) - 1 freq
“garden” (10) - 1 freq
“awww” (10) - 1 freq
SoundEx code - H430
hoolet - 106 freq
held - 509 freq
holiday - 152 freq
hoaliday - 16 freq
haaled - 21 freq
health - 133 freq
howled - 15 freq
healthy - 64 freq
'hollywood - 1 freq
hold - 65 freq
halt - 28 freq
heeld - 2 freq
hauled - 21 freq
houlet - 9 freq
heelt - 3 freq
'health - 1 freq
haalt - 2 freq
hilda - 23 freq
healed - 10 freq
hauld - 17 freq
haliday - 1 freq
hilt - 2 freq
houlit - 3 freq
hell'd - 1 freq
hollywood - 19 freq
haild - 2 freq
hallowed - 4 freq
halth - 10 freq
heilit - 1 freq
haul't - 1 freq
hault - 18 freq
hult - 1 freq
helth - 1 freq
hailed - 14 freq
halled - 2 freq
holed - 7 freq
hailit - 1 freq
hallowit - 1 freq
haeled - 2 freq
hoult - 7 freq
howlt - 1 freq
helt - 5 freq
haulit - 3 freq
hailt - 6 freq
healt - 11 freq
'holiday' - 1 freq
hilthy - 1 freq
hallaed - 1 freq
höld - 2 freq
haelt - 3 freq
howld - 17 freq
heiled - 1 freq
holiday' - 1 freq
'hoolet - 2 freq
hailth - 2 freq
hüld - 2 freq
healthy' - 1 freq
heeled - 1 freq
hallooed - 1 freq
heild - 48 freq
hält - 1 freq
haelthie - 1 freq
hollowed - 4 freq
haled - 1 freq
holieday - 1 freq
hallowday - 1 freq
hailthie - 1 freq
hullheid - 1 freq
holywood - 1 freq
€œhold - 3 freq
halloday - 1 freq
holit - 1 freq
hollaeed - 1 freq
hoalidy - 2 freq
hooled - 1 freq
hillhead - 2 freq
heuld - 1 freq
holy-day - 1 freq
“healthy” - 1 freq
halliday - 1 freq
holaeday - 2 freq
hillheid - 2 freq
hoo-let - 1 freq
'hoolet' - 3 freq
holt - 1 freq
MetaPhone code - HL0
health - 133 freq
healthy - 64 freq
'health - 1 freq
halth - 10 freq
helth - 1 freq
hilthy - 1 freq
hailth - 2 freq
healthy' - 1 freq
haelthie - 1 freq
hailthie - 1 freq
“healthy” - 1 freq
“HEALTHY”
Time to execute Levenshtein function - 0.283689 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 - 0.476144 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 - 0.030389 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 - 0.039040 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 - 0.001131 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.