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 soarts in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
soarts (0) - 12 freq
sorts (1) - 71 freq
soart (1) - 47 freq
skarts (1) - 3 freq
starts (1) - 181 freq
sarts (1) - 1 freq
smarts (1) - 1 freq
scarts (1) - 9 freq
soorts (1) - 2 freq
soars (1) - 5 freq
shoarts (1) - 3 freq
spoarts (1) - 3 freq
soor's (2) - 1 freq
saits (2) - 4 freq
swart (2) - 2 freq
loards (2) - 1 freq
shards (2) - 11 freq
spares (2) - 1 freq
boards (2) - 23 freq
parts (2) - 24 freq
smarty (2) - 1 freq
shares (2) - 27 freq
start' (2) - 1 freq
farts (2) - 5 freq
sharks (2) - 9 freq
soarts (0) - 12 freq
sarts (1) - 1 freq
sorts (1) - 71 freq
soorts (1) - 2 freq
soars (2) - 5 freq
soartsae (2) - 1 freq
shoarts (2) - 3 freq
spoarts (2) - 3 freq
scarts (2) - 9 freq
soart (2) - 47 freq
skarts (2) - 3 freq
smarts (2) - 1 freq
starts (2) - 181 freq
sorti (3) - 2 freq
sarks (3) - 17 freq
sorras (3) - 6 freq
salts (3) - 1 freq
staets (3) - 3 freq
smerts (3) - 1 freq
soartit (3) - 1 freq
soort (3) - 2 freq
stats (3) - 6 freq
arts (3) - 34 freq
sants (3) - 1 freq
soarted (3) - 1 freq
SoundEx code - S632
short-cut - 1 freq
skrieds - 1 freq
soarts - 12 freq
seratchin - 2 freq
shairds - 5 freq
skirts - 26 freq
scratcht - 1 freq
scarts - 9 freq
scratchin - 26 freq
shorts - 42 freq
sorts - 71 freq
swuirds - 6 freq
swaird-scaurs - 1 freq
scratch - 53 freq
skirt-suit - 1 freq
shards - 11 freq
scratched - 17 freq
squirts - 1 freq
skarts - 3 freq
scratchy - 49 freq
scratchy's - 7 freq
'scratchy - 4 freq
scratchy'd - 1 freq
skretchin - 1 freq
swords - 36 freq
shortcut - 4 freq
shirts - 21 freq
scraitch - 1 freq
shreds - 8 freq
swordis - 2 freq
scratchcard - 2 freq
scratchcards - 1 freq
screeds - 13 freq
screetched - 1 freq
scraat's - 1 freq
soorts - 2 freq
shirt's - 3 freq
scratchings - 2 freq
swordsman's - 1 freq
shoartcut - 1 freq
screetchin - 1 freq
soartsae - 1 freq
sortsae - 1 freq
sherds - 2 freq
soor-dook - 1 freq
short-sichtit - 1 freq
scratches - 4 freq
scratchan - 4 freq
shortcomes - 1 freq
swordsman - 3 freq
scortish - 1 freq
scratchit - 1 freq
skratchin - 1 freq
scraitchin - 2 freq
skreids - 6 freq
shortage - 6 freq
scratcher - 13 freq
swoords - 2 freq
scairts - 1 freq
skirt's - 1 freq
skywards - 2 freq
schortsum - 1 freq
swordsmen - 1 freq
scart-scart-scartin - 1 freq
skritts - 1 freq
'shoarts' - 1 freq
shoarts - 3 freq
shortsome - 2 freq
shroods - 2 freq
swurds - 2 freq
screids - 5 freq
scraitched - 1 freq
shoreheids - 1 freq
scraitchers - 1 freq
shirtsleeves - 1 freq
short-sichted - 2 freq
skratcher - 1 freq
schort-cums - 1 freq
sour-dook - 1 freq
seawards - 1 freq
shortages - 1 freq
shortcomins - 1 freq
screetch - 1 freq
screed's - 1 freq
skywarts - 1 freq
scratchin' - 2 freq
scourhieds - 1 freq
sarts - 1 freq
shortest - 1 freq
soordook - 1 freq
scratching - 1 freq
sarahduce - 4 freq
shortcake - 1 freq
srteixo - 2 freq
shrouds - 1 freq
‘s-hertogenbosch - 1 freq
scritch - 1 freq
scaredy-cat - 1 freq
MetaPhone code - SRTS
certes - 23 freq
soarts - 12 freq
sorts - 71 freq
certies - 17 freq
soorts - 2 freq
soartsae - 1 freq
sortsae - 1 freq
sarts - 1 freq
sarahduce - 4 freq
cerds - 1 freq
SOARTS
Time to execute Levenshtein function - 0.212475 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 - 0.343283 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 - 0.027220 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 - 0.037001 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 - 0.000885 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.