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 knowes in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
knowes (0) - 23 freq
knows (1) - 146 freq
knowed (1) - 64 freq
know's (1) - 1 freq
knowe (1) - 54 freq
flowes (2) - 2 freq
snow's (2) - 1 freq
yowes (2) - 69 freq
known (2) - 58 freq
know (2) - 1083 freq
'knowe' (2) - 1 freq
snores (2) - 6 freq
knaws (2) - 4 freq
owes (2) - 4 freq
knowin (2) - 45 freq
snowey (2) - 1 freq
'now's (2) - 1 freq
howes (2) - 17 freq
knoweth (2) - 1 freq
knees (2) - 166 freq
snowed (2) - 2 freq
knobs (2) - 5 freq
nows (2) - 1 freq
knowesÂ’ (2) - 1 freq
inrowes (2) - 1 freq
knowes (0) - 23 freq
knows (1) - 146 freq
knaws (2) - 4 freq
knowe (2) - 54 freq
knowed (2) - 64 freq
know's (2) - 1 freq
knives (3) - 18 freq
knees (3) - 166 freq
knobs (3) - 5 freq
knowan (3) - 2 freq
know' (3) - 1 freq
knipes (3) - 3 freq
knawed (3) - 1 freq
nows (3) - 1 freq
knowin (3) - 45 freq
knowte (3) - 1 freq
knifes (3) - 3 freq
knos (3) - 1 freq
know (3) - 1083 freq
known (3) - 58 freq
knots (3) - 11 freq
neows (4) - 1 freq
kanes (4) - 1 freq
kynes (4) - 11 freq
knuts (4) - 1 freq
SoundEx code - K520
knees - 166 freq
kens - 515 freq
knows - 146 freq
knowes - 23 freq
knackie - 10 freq
kynoch - 6 freq
kings - 73 freq
king's - 51 freq
king - 764 freq
keing - 140 freq
knox's - 2 freq
knock - 108 freq
knick - 2 freq
'kings - 1 freq
kenzie - 49 freq
'kenzie - 2 freq
knox - 32 freq
kinks - 12 freq
kames - 7 freq
kink - 8 freq
knack - 12 freq
kynes - 11 freq
keeng - 77 freq
kinch - 19 freq
knocks - 13 freq
ken's - 4 freq
kines - 21 freq
'king - 1 freq
kensho - 1 freq
knoack - 7 freq
käng - 2 freq
kins - 13 freq
knee's - 1 freq
know's - 1 freq
kïng - 26 freq
kings' - 1 freq
kïngs' - 1 freq
kïngs - 3 freq
konk - 1 freq
'kinky - 1 freq
knaws - 4 freq
knas - 1 freq
keeng's - 5 freq
keengs - 5 freq
keeng' - 1 freq
knacky - 3 freq
kums - 5 freq
kïng's - 1 freq
kanga - 36 freq
keings - 9 freq
keing's - 15 freq
knee-high - 3 freq
kimsey - 1 freq
kenny's - 1 freq
'keing - 1 freq
kinnik - 1 freq
knaggie - 5 freq
kyns - 2 freq
kynness - 1 freq
kong - 7 freq
kyng - 3 freq
knuse - 1 freq
kaens - 2 freq
knock's - 1 freq
kinky - 1 freq
kinchie - 5 freq
kynch - 1 freq
kains - 1 freq
knockha - 1 freq
kemes - 1 freq
kingie - 1 freq
knees' - 1 freq
€˜king - 5 freq
kwango - 1 freq
keenness - 1 freq
€œknock - 2 freq
kiang - 1 freq
kneis - 1 freq
kang - 1 freq
kness - 1 freq
knoax - 1 freq
kuniwyg - 1 freq
kennysc - 38 freq
keenks - 2 freq
keencks - 1 freq
kms - 1 freq
kmch - 1 freq
kmze - 1 freq
knqcg - 1 freq
kmc - 2 freq
knowesÂ’ - 1 freq
kxzwmk - 1 freq
knos - 1 freq
kqms - 1 freq
kenÂ’s - 1 freq
kanes - 1 freq
knj - 1 freq
MetaPhone code - NWS
knowes - 23 freq
newess - 1 freq
naeweys - 2 freq
naewise - 1 freq
knowesÂ’ - 1 freq
KNOWES
Time to execute Levenshtein function - 0.207619 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 - 0.333102 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 - 0.028057 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 - 0.036685 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 - 0.000937 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.