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 sworn in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
sworn (0) - 13 freq
swurn (1) - 1 freq
skorn (1) - 1 freq
shorn (1) - 7 freq
scorn (1) - 18 freq
swoon (1) - 2 freq
worn (1) - 59 freq
swore (1) - 25 freq
sorn (1) - 28 freq
sword (1) - 107 freq
sorr (2) - 1 freq
swoord (2) - 4 freq
score (2) - 94 freq
stoun (2) - 2 freq
porn (2) - 2 freq
sore (2) - 53 freq
'work (2) - 2 freq
acorn (2) - 2 freq
born (2) - 333 freq
swirin (2) - 1 freq
sion (2) - 1 freq
horn (2) - 59 freq
kforn (2) - 1 freq
store (2) - 79 freq
thorn (2) - 9 freq
sworn (0) - 13 freq
swurn (1) - 1 freq
sword (2) - 107 freq
sweirn (2) - 1 freq
sorn (2) - 28 freq
swirin (2) - 1 freq
swore (2) - 25 freq
skorn (2) - 1 freq
shorn (2) - 7 freq
scorn (2) - 18 freq
swoon (2) - 2 freq
worn (2) - 59 freq
sweyn (3) - 1 freq
swire (3) - 1 freq
sooran (3) - 1 freq
shorin (3) - 1 freq
scarn (3) - 2 freq
sweeren (3) - 1 freq
sorny (3) - 2 freq
swaan (3) - 3 freq
starn (3) - 54 freq
sworlin (3) - 1 freq
swona (3) - 1 freq
swyin (3) - 1 freq
swurd (3) - 5 freq
SoundEx code - S650
sharin - 44 freq
shore-win - 1 freq
scran - 84 freq
soarin - 9 freq
srowin - 1 freq
scream - 67 freq
soor-an - 4 freq
siren - 10 freq
screen - 140 freq
scorn - 18 freq
scaurin - 1 freq
squirm - 5 freq
scorin - 6 freq
sharon - 10 freq
serrin - 5 freq
screwin - 7 freq
scarn - 2 freq
scrawny - 11 freq
shorn - 7 freq
scourin - 11 freq
sour-an - 1 freq
sweerin - 12 freq
sharn - 29 freq
shairn - 17 freq
sweirin - 16 freq
scarrin - 1 freq
scrum - 2 freq
swarm - 2 freq
swearin - 16 freq
sorn - 28 freq
searin - 4 freq
shrine - 12 freq
swairm - 3 freq
shooerin - 2 freq
scryin - 1 freq
sweeren - 1 freq
scooren - 2 freq
scurryin - 7 freq
showerin - 1 freq
shirin - 2 freq
shoorin - 1 freq
squarin - 1 freq
sharny - 7 freq
scarin - 2 freq
showroom - 2 freq
sworn - 13 freq
shairny - 2 freq
swirin - 1 freq
'sron - 1 freq
skewerin - 1 freq
score-in - 2 freq
sware-in - 1 freq
sarne - 1 freq
scorem - 1 freq
sairin - 3 freq
syrian - 2 freq
skrime - 1 freq
scream' - 1 freq
sooran - 1 freq
sharan - 4 freq
scoorin - 2 freq
sorun - 1 freq
shorin - 1 freq
skrene - 1 freq
skyran - 3 freq
swaeran - 1 freq
sheeriin - 1 freq
scurrian - 1 freq
shairin - 2 freq
sharin' - 1 freq
skirrin - 2 freq
scram - 1 freq
'sharon - 1 freq
scouran - 1 freq
serene - 2 freq
sharnie - 1 freq
sharn- - 1 freq
souerane - 1 freq
swurn - 1 freq
scrime - 3 freq
screin - 3 freq
skyrin - 1 freq
scraun - 1 freq
sirin - 1 freq
shiran - 3 freq
serum - 4 freq
shrne - 1 freq
skairin - 1 freq
skorne - 1 freq
shearin - 2 freq
scrim - 1 freq
sarnie - 3 freq
€˜scorin - 2 freq
€™s-erran - 2 freq
sorny - 2 freq
saurin - 1 freq
sauron - 1 freq
skorn - 1 freq
sherrene - 1 freq
sweirn - 1 freq
‘shorn’ - 1 freq
srmn - 1 freq
sharron - 3 freq
sharein - 1 freq
MetaPhone code - SWRN
sweerin - 12 freq
sweirin - 16 freq
swearin - 16 freq
sweeren - 1 freq
sworn - 13 freq
swirin - 1 freq
sware-in - 1 freq
swaeran - 1 freq
swurn - 1 freq
sweirn - 1 freq
SWORN
Time to execute Levenshtein function - 0.222126 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 - 0.326270 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 - 0.028722 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 - 0.038685 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 - 0.000957 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.