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 fyang in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fyang (0) - 1 freq
flang (1) - 36 freq
fang (1) - 12 freq
gyang (1) - 177 freq
yang (1) - 3 freq
'gang (2) - 8 freq
dying (2) - 15 freq
fran (2) - 1 freq
franc (2) - 6 freq
rang (2) - 83 freq
faan (2) - 70 freq
mang (2) - 17 freq
frag (2) - 1 freq
thang (2) - 3 freq
fank (2) - 25 freq
hang (2) - 48 freq
fking (2) - 7 freq
dyan (2) - 2 freq
huang (2) - 2 freq
lyand (2) - 1 freq
gying (2) - 38 freq
tang (2) - 50 freq
fand (2) - 176 freq
fuan (2) - 2 freq
yung (2) - 72 freq
fyang (0) - 1 freq
fang (1) - 12 freq
fing (2) - 25 freq
fung (2) - 2 freq
fange (2) - 1 freq
yang (2) - 3 freq
flang (2) - 36 freq
gyang (2) - 177 freq
soang (3) - 1 freq
alang (3) - 1171 freq
ang (3) - 8 freq
loyang (3) - 3 freq
kang (3) - 1 freq
jang (3) - 3 freq
tying (3) - 1 freq
flag (3) - 70 freq
gyaang (3) - 1 freq
ouyang (3) - 1 freq
farg (3) - 1 freq
fiann (3) - 1 freq
kyng (3) - 3 freq
laang (3) - 3 freq
nyanga (3) - 2 freq
ying (3) - 46 freq
pang (3) - 3 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 - FYNK
fyang - 1 freq
fÂ’yang - 1 freq
vying - 1 freq
FYANG
Time to execute Levenshtein function - 0.590340 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 - 0.888029 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 - 0.092008 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 - 0.104658 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 - 0.000970 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.