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 preevilige in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
preevilige (0) - 1 freq
preevelige (1) - 1 freq
preevilege (1) - 2 freq
preeveilige (1) - 1 freq
prievilage (2) - 1 freq
preivilege (2) - 2 freq
privilege (3) - 15 freq
ceevilise (3) - 1 freq
prestige (4) - 8 freq
prevailin (4) - 2 freq
privileged (4) - 13 freq
ceevilised (4) - 6 freq
priestlie (4) - 1 freq
preeshtlie (4) - 1 freq
sneevilin (4) - 1 freq
peelie (4) - 9 freq
precipice (4) - 3 freq
deevilish (4) - 4 freq
deevilick (4) - 3 freq
priveliged (4) - 1 freq
freenlie (4) - 2 freq
prevele (4) - 1 freq
privileges (4) - 3 freq
revile (4) - 3 freq
preeve (4) - 6 freq
preevilige (0) - 1 freq
preeveilige (1) - 1 freq
preevilege (1) - 2 freq
preevelige (1) - 1 freq
preivilege (2) - 2 freq
prievilage (2) - 1 freq
privilege (3) - 15 freq
priveliged (5) - 1 freq
privilaged (5) - 1 freq
prevele (5) - 1 freq
privileges (5) - 3 freq
privileged (5) - 13 freq
prevailin (5) - 2 freq
revile (6) - 3 freq
prestige (6) - 8 freq
preeve (6) - 6 freq
prejuidge (6) - 1 freq
prevail (6) - 10 freq
proving (6) - 3 freq
prevailed (6) - 6 freq
ceevilise (6) - 1 freq
preclude (7) - 2 freq
prile (7) - 3 freq
reevlan (7) - 2 freq
veelage (7) - 12 freq
SoundEx code - P614
powerful - 20 freq
purple - 98 freq
problem - 258 freq
parabola - 2 freq
'problem - 1 freq
problems - 89 freq
prof'll - 3 freq
proablem - 4 freq
problème - 2 freq
profile - 52 freq
privileged - 13 freq
problem's - 2 freq
prevailed - 6 freq
perplexed - 9 freq
profiles - 8 freq
problim - 10 freq
prevail - 10 freq
privilege - 15 freq
purple's - 2 freq
purple-strippit - 1 freq
preevilige - 1 freq
preevelige - 1 freq
preevilege - 2 freq
preeveilige - 1 freq
pouerful - 3 freq
proably - 1 freq
probly - 40 freq
privileges - 3 freq
parable - 54 freq
parables - 9 freq
pooerful - 10 freq
parable's - 1 freq
propel - 2 freq
prevele - 1 freq
problims - 1 freq
powerfuul - 1 freq
pieirieblakk - 1 freq
purples - 1 freq
purpie-wulk - 1 freq
problematic - 3 freq
problemreddin - 1 freq
€œproblem - 2 freq
prevailin - 2 freq
prob'ly - 1 freq
priveliged - 1 freq
purfled - 1 freq
prevalence - 1 freq
propale - 1 freq
profeel - 5 freq
profeels - 1 freq
preivilege - 2 freq
profligate - 1 freq
purple-pussed - 1 freq
propeller - 1 freq
powerfully - 1 freq
purpley - 1 freq
purple-green - 1 freq
problemo - 1 freq
propellin - 1 freq
propellt - 1 freq
problee - 1 freq
probulary - 2 freq
prevelent - 1 freq
problemo's - 1 freq
prayfully - 6 freq
prayeefully - 1 freq
privilaged - 1 freq
prievilage - 1 freq
profile” - 1 freq
prevalent - 1 freq
powerfull - 1 freq
parboiled - 1 freq
MetaPhone code - PRFLJ
privilege - 15 freq
preevilige - 1 freq
preevelige - 1 freq
preevilege - 2 freq
preeveilige - 1 freq
preivilege - 2 freq
prievilage - 1 freq
PREEVILIGE
Time to execute Levenshtein function - 0.219581 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 - 0.361848 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 - 0.028410 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 - 0.039118 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 - 0.000823 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.