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 fawkes in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fawkes (0) - 7 freq
hawkes (1) - 2 freq
fakes (1) - 2 freq
faves (2) - 3 freq
takes (2) - 137 freq
gawked (2) - 6 freq
mawk's (2) - 1 freq
lakes (2) - 2 freq
fakers (2) - 1 freq
hawker (2) - 1 freq
cakes (2) - 54 freq
faw's (2) - 1 freq
sawes (2) - 1 freq
parkes (2) - 2 freq
fawkert (2) - 2 freq
faes (2) - 35 freq
aawyes (2) - 1 freq
gawks (2) - 6 freq
facees (2) - 1 freq
fanks (2) - 9 freq
faroes (2) - 7 freq
flakes (2) - 20 freq
farces (2) - 1 freq
fables (2) - 10 freq
faxes (2) - 1 freq
fawkes (0) - 7 freq
fowks (2) - 97 freq
fowkies (2) - 21 freq
fakes (2) - 2 freq
hawkes (2) - 2 freq
faws (3) - 60 freq
faiks (3) - 1 freq
gawks (3) - 6 freq
flakes (3) - 20 freq
fanks (3) - 9 freq
fykes (3) - 2 freq
pawkies (3) - 2 freq
wakes (3) - 14 freq
hawks (3) - 2 freq
facks (3) - 15 freq
fawse (3) - 3 freq
faw's (3) - 1 freq
fowk's (3) - 49 freq
fownes (3) - 2 freq
faks (3) - 4 freq
mawks (3) - 1 freq
fasces (4) - 1 freq
waks (4) - 8 freq
fates (4) - 4 freq
fowk' (4) - 2 freq
SoundEx code - F220
faces - 230 freq
fuchsia - 1 freq
fishes - 17 freq
fashious - 20 freq
fixes - 3 freq
'focus - 1 freq
focus - 115 freq
fawkes - 7 freq
foggies' - 1 freq
fucksake - 1 freq
foxes - 9 freq
fogeys - 1 freq
fowkies - 21 freq
fowkie's - 5 freq
fissoag's - 1 freq
facees - 1 freq
fush's - 1 freq
fizzog - 27 freq
fcuk - 2 freq
faxes - 1 freq
fakes - 2 freq
fizzogs - 6 freq
fechs - 1 freq
fuscus - 2 freq
fishies - 4 freq
face's - 1 freq
fissog - 1 freq
feechies - 1 freq
faissis - 1 freq
fæsis - 1 freq
fykes - 2 freq
fashes - 5 freq
foxes' - 1 freq
feshes - 1 freq
facies - 1 freq
fishies' - 1 freq
fasces - 1 freq
fowkweys - 1 freq
fashous - 1 freq
feekies - 2 freq
foggies - 2 freq
fesses - 1 freq
fizog - 6 freq
fogies - 1 freq
fisses - 1 freq
faachs - 1 freq
fashiuss - 1 freq
fuses - 1 freq
fugazi - 1 freq
fzyji - 1 freq
fisog - 1 freq
fgwzkgjk - 1 freq
fwsuji - 1 freq
fuksek - 1 freq
MetaPhone code - FKS
fox - 73 freq
fowk's - 49 freq
faiks - 1 freq
fowks - 97 freq
fuck's - 10 freq
fags - 64 freq
'fuck's - 1 freq
'focus - 1 freq
focus - 115 freq
'fegs - 4 freq
fegs - 40 freq
fawkes - 7 freq
fx - 4 freq
fix - 70 freq
foggies' - 1 freq
fogs - 4 freq
fowks' - 9 freq
faks - 4 freq
figs - 16 freq
veyg's - 1 freq
vicous - 1 freq
fowkies - 21 freq
fowkie's - 5 freq
viccy - 5 freq
vacuous - 2 freq
faux - 4 freq
fucks - 11 freq
vegas - 1 freq
veggies - 9 freq
facks - 15 freq
fakes - 2 freq
fïgs - 3 freq
vex - 6 freq
fok's - 1 freq
fc's - 1 freq
fax - 9 freq
fokk's - 4 freq
focks' - 3 freq
fokks - 1 freq
fykes - 2 freq
vaig's - 1 freq
foxy - 6 freq
fecks - 3 freq
facs - 1 freq
€˜fox - 1 freq
feekies - 2 freq
foggies - 2 freq
fowks- - 1 freq
vieux - 2 freq
focks - 7 freq
foax - 1 freq
feggs - 1 freq
fux - 1 freq
fowkÂ’s - 2 freq
phx - 1 freq
wghx - 1 freq
vx - 5 freq
fugazi - 1 freq
vix - 1 freq
fogsw - 1 freq
phwx - 1 freq
vexh - 1 freq
fqs - 1 freq
vgos - 1 freq
vics - 1 freq
vqs - 1 freq
phxu - 1 freq
vcz - 1 freq
wvix - 1 freq
fgs - 31 freq
feegs - 1 freq
ghqce - 1 freq
FAWKES
Time to execute Levenshtein function - 0.355804 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 - 0.423140 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 - 0.028072 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 - 0.037515 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 - 0.000935 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.