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 fiancée in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fiancée (0) - 1 freq
fiancé (1) - 1 freq
france (3) - 85 freq
fancie (3) - 17 freq
francie (3) - 2 freq
fince (3) - 5 freq
sincé (3) - 1 freq
finance (3) - 14 freq
facade (4) - 4 freq
finerie (4) - 2 freq
niné (4) - 1 freq
stance (4) - 28 freq
nance (4) - 7 freq
fancier (4) - 3 freq
chance (4) - 548 freq
fangle (4) - 1 freq
fyauchie (4) - 1 freq
fraince (4) - 1 freq
france's (4) - 2 freq
income (4) - 16 freq
franch (4) - 1 freq
sincere (4) - 13 freq
wance (4) - 328 freq
kinchie (4) - 5 freq
iancoll (4) - 1 freq
fiancée (0) - 1 freq
fiancé (1) - 1 freq
sincé (4) - 1 freq
fince (5) - 5 freq
fancie (5) - 17 freq
fancy' (6) - 1 freq
fancy (6) - 281 freq
ciné (6) - 2 freq
finces (6) - 1 freq
finches (6) - 1 freq
fincana (6) - 1 freq
fancifu (6) - 1 freq
fancied (6) - 31 freq
finch (6) - 1 freq
fancyin (6) - 3 freq
fence (6) - 154 freq
fancy's (6) - 1 freq
fancyan (6) - 1 freq
funcie (6) - 1 freq
niné (6) - 1 freq
finance (6) - 14 freq
francie (6) - 2 freq
france (6) - 85 freq
fancies (6) - 27 freq
fancit (6) - 1 freq
SoundEx code - F520
fence - 154 freq
feenish - 106 freq
fancy - 281 freq
faamous - 1 freq
feeneesh - 12 freq
finish - 76 freq
fumes - 12 freq
feinish - 13 freq
faumous - 3 freq
funcy - 90 freq
fank - 25 freq
famous - 105 freq
'fancy - 4 freq
fans - 141 freq
fangs - 16 freq
fins - 37 freq
feenich - 1 freq
founess - 1 freq
fang - 12 freq
feemus - 1 freq
'fangs - 1 freq
'fines - 1 freq
fainness - 3 freq
fyoonach - 1 freq
funs - 7 freq
fines - 7 freq
fenwick - 4 freq
fawmous - 10 freq
fownes - 2 freq
fin's - 1 freq
feenesh - 2 freq
fume's - 4 freq
faansee - 1 freq
fansee - 1 freq
funsee - 1 freq
fauns - 1 freq
fungs - 1 freq
funk - 3 freq
fanks - 9 freq
finks - 5 freq
fink - 72 freq
fing - 25 freq
fings - 10 freq
fingi - 1 freq
fannies - 12 freq
feems - 1 freq
fince - 5 freq
fan's - 3 freq
'funcy - 1 freq
finng - 1 freq
funky - 9 freq
funess - 1 freq
foam's - 1 freq
fauncy - 3 freq
fancie - 17 freq
fïnish - 1 freq
finesse - 2 freq
foons - 7 freq
fanny's - 1 freq
'fancy' - 1 freq
fens - 3 freq
finiesh - 1 freq
fngs - 1 freq
fines' - 1 freq
fionza - 1 freq
faem's - 1 freq
fancy' - 1 freq
fons - 1 freq
finnish - 11 freq
finch - 1 freq
founs - 9 freq
fange - 1 freq
faan's - 1 freq
funns - 1 freq
fung - 2 freq
funcie - 1 freq
fonns - 1 freq
feinis - 2 freq
finnock - 1 freq
femmes - 1 freq
€˜fancy - 2 freq
fínish - 5 freq
fansy - 1 freq
fïng - 1 freq
feyness - 1 freq
fiona's - 1 freq
fyang - 1 freq
fiancé - 1 freq
finns - 1 freq
€œfancy - 1 freq
€™fancy - 1 freq
faun's - 3 freq
fnqy - 1 freq
finÂ’s - 1 freq
fnk - 1 freq
funzo - 1 freq
fÂ’yang - 1 freq
fannys - 1 freq
fmq - 1 freq
fm's - 1 freq
fanniiiieees - 1 freq
fiancée - 1 freq
fnek - 1 freq
fbmgc - 1 freq
fomuhs - 1 freq
fones - 1 freq
MetaPhone code - FNK
fank - 25 freq
fang - 12 freq
funk - 3 freq
fink - 72 freq
fing - 25 freq
finng - 1 freq
funky - 9 freq
phonic - 2 freq
fung - 2 freq
finnock - 1 freq
fïng - 1 freq
fiancé - 1 freq
fnqy - 1 freq
fnk - 1 freq
vonoq - 1 freq
fiancée - 1 freq
fnek - 1 freq
FIANCÉE
Time to execute Levenshtein function - 0.219108 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 - 0.381652 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 - 0.027556 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 - 0.038139 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 - 0.001073 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.