A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to deadly in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
deadly (0) - 18 freq
deedly (1) - 2 freq
'deadly (1) - 1 freq
deidly (1) - 19 freq
dearly (1) - 13 freq
deeply (2) - 37 freq
derkly (2) - 1 freq
ideally (2) - 2 freq
beadle (2) - 9 freq
really (2) - 1231 freq
neatly (2) - 26 freq
dwadle (2) - 1 freq
dwamly (2) - 1 freq
madly (2) - 5 freq
dealt (2) - 33 freq
eardly (2) - 1 freq
mealy (2) - 5 freq
measly (2) - 1 freq
herdly (2) - 18 freq
dally (2) - 1 freq
peavly (2) - 4 freq
nearly (2) - 289 freq
daily (2) - 110 freq
deftly (2) - 1 freq
deedle (2) - 2 freq
deadly (0) - 18 freq
deidly (1) - 19 freq
deedly (1) - 2 freq
deedle (2) - 2 freq
daadle (2) - 1 freq
'deadly (2) - 1 freq
dearly (2) - 13 freq
daday (3) - 74 freq
deads (3) - 1 freq
dead (3) - 273 freq
sadly (3) - 70 freq
readily (3) - 7 freq
ddale (3) - 1 freq
deal (3) - 194 freq
daddy (3) - 140 freq
deedlie (3) - 1 freq
erdly (3) - 1 freq
dudley (3) - 11 freq
daudle (3) - 1 freq
daidle (3) - 2 freq
deday (3) - 5 freq
dually (3) - 3 freq
badly (3) - 30 freq
diddly (3) - 1 freq
needly (3) - 4 freq
SoundEx code - D340
daithlie - 1 freq
doddle - 4 freq
daidle - 2 freq
detail - 43 freq
daudle - 1 freq
dau-dle - 1 freq
deadly - 18 freq
deidly - 19 freq
doodle - 10 freq
'deadly - 1 freq
daithly - 3 freq
dottle - 1 freq
deathly - 2 freq
dwadle - 1 freq
dawdle - 10 freq
deedly - 2 freq
dettol - 1 freq
deidlie - 7 freq
daadle - 1 freq
dad'll - 2 freq
deithly - 1 freq
dat'll - 10 freq
diddle - 14 freq
deedlie - 1 freq
deedle - 2 freq
detdlie - 1 freq
dudley - 11 freq
d'italia - 1 freq
diddly - 1 freq
dat’ll - 2 freq
dettel - 1 freq
MetaPhone code - TTL
doddle - 4 freq
totally - 121 freq
toatlly - 1 freq
total - 98 freq
daidle - 2 freq
detail - 43 freq
daudle - 1 freq
dau-dle - 1 freq
title - 65 freq
deadly - 18 freq
deidly - 19 freq
teetle - 10 freq
doodle - 10 freq
'deadly - 1 freq
dtll - 1 freq
tattle - 3 freq
dottle - 1 freq
toodle - 2 freq
toddle - 3 freq
tidal - 9 freq
dawdle - 10 freq
deedly - 2 freq
tottle - 1 freq
dettol - 1 freq
deidlie - 7 freq
tetley - 1 freq
daadle - 1 freq
tootle - 1 freq
dad'll - 2 freq
dat'll - 10 freq
title' - 1 freq
tiddely - 11 freq
'tiddely - 2 freq
diddle - 14 freq
tod'll - 1 freq
'total - 1 freq
deedlie - 1 freq
deedle - 2 freq
dudley - 11 freq
teitil - 6 freq
tiddle - 1 freq
d'italia - 1 freq
tidily - 1 freq
totallie - 1 freq
tiddly - 1 freq
totalee - 1 freq
taitl - 1 freq
diddly - 1 freq
dat’ll - 2 freq
totalleo - 1 freq
toodleoo - 1 freq
dettel - 1 freq
DEADLY
die - 122 freq
died - 158 freq
dee - 1212 freq
dee'd - 94 freq
deid - 954 freq
deadly - 18 freq
deidly - 19 freq
hauf-deid - 8 freq
deidlie - 7 freq
deidkist - 2 freq
lang-deid - 3 freq
deid-centre - 1 freq
half-deid - 1 freq
deadline - 4 freq
deadpan - 3 freq
ston-dead - 1 freq
braindead - 1 freq
Time to execute Levenshtein function - 0.194222 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 - 0.326795 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 - 0.027585 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 - 0.038081 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 - 0.001008 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.