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 fangs in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fangs (0) - 16 freq
rangs (1) - 2 freq
langs (1) - 1 freq
tangs (1) - 1 freq
'fangs (1) - 1 freq
fans (1) - 141 freq
sangs (1) - 264 freq
fang (1) - 12 freq
fags (1) - 64 freq
fungs (1) - 1 freq
fange (1) - 1 freq
fings (1) - 10 freq
pangs (1) - 2 freq
fants (1) - 1 freq
fngs (1) - 1 freq
fanks (1) - 9 freq
gangs (1) - 150 freq
fan's (1) - 3 freq
bangs (1) - 13 freq
hangs (1) - 3 freq
fanta (2) - 1 freq
sings (2) - 58 freq
tags (2) - 6 freq
maggs (2) - 1 freq
facts (2) - 46 freq
fangs (0) - 16 freq
fings (1) - 10 freq
fungs (1) - 1 freq
fngs (1) - 1 freq
fants (2) - 1 freq
pangs (2) - 2 freq
fan's (2) - 3 freq
hangs (2) - 3 freq
bangs (2) - 13 freq
fanks (2) - 9 freq
gangs (2) - 150 freq
langs (2) - 1 freq
rangs (2) - 2 freq
fange (2) - 1 freq
'fangs (2) - 1 freq
tangs (2) - 1 freq
fags (2) - 64 freq
sangs (2) - 264 freq
fang (2) - 12 freq
fans (2) - 141 freq
mangos (3) - 1 freq
lungs (3) - 54 freq
fanger (3) - 1 freq
fonns (3) - 1 freq
kangas (3) - 2 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 - FNKS
fangs - 16 freq
'fangs - 1 freq
phoenix - 29 freq
fungs - 1 freq
fanks - 9 freq
finks - 5 freq
fings - 10 freq
fngs - 1 freq
phonics - 1 freq
fingaa's - 1 freq
FANGS
Time to execute Levenshtein function - 0.264358 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 - 0.397617 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 - 0.028586 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 - 0.040094 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 - 0.000885 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.