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 fingi in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fingi (0) - 1 freq
fings (1) - 10 freq
fingin (1) - 1 freq
fing (1) - 25 freq
fingir (1) - 55 freq
singiy (2) - 1 freq
finnin (2) - 40 freq
mings (2) - 1 freq
finnd (2) - 125 freq
finin (2) - 3 freq
fines (2) - 7 freq
inti (2) - 218 freq
finns (2) - 1 freq
fingle (2) - 1 freq
findin (2) - 71 freq
pingu (2) - 1 freq
finÂ’ (2) - 1 freq
inbi (2) - 1 freq
kings (2) - 92 freq
hings (2) - 298 freq
king (2) - 827 freq
ping (2) - 12 freq
linzi (2) - 3 freq
finnie (2) - 1 freq
singh (2) - 6 freq
fingi (0) - 1 freq
fing (1) - 25 freq
fang (2) - 12 freq
fange (2) - 1 freq
fingir (2) - 55 freq
fingin (2) - 1 freq
fung (2) - 2 freq
fings (2) - 10 freq
hingy (3) - 6 freq
firg (3) - 1 freq
tinge (3) - 4 freq
bing (3) - 38 freq
fringe (3) - 38 freq
binge (3) - 4 freq
lingo (3) - 9 freq
jing (3) - 11 freq
ginge (3) - 3 freq
hing (3) - 604 freq
ing (3) - 10 freq
figo (3) - 1 freq
wing (3) - 38 freq
inge (3) - 1 freq
fine' (3) - 1 freq
fidge (3) - 9 freq
fink (3) - 72 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 - FNJ
venge - 1 freq
fingi - 1 freq
fndge - 1 freq
fange - 1 freq
FINGI
Time to execute Levenshtein function - 0.191130 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 - 0.360444 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 - 0.033609 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 - 0.051113 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 - 0.000922 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.