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 damned in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
damned (0) - 39 freq
darned (1) - 2 freq
'damned (1) - 1 freq
dammed (1) - 2 freq
damed (1) - 1 freq
dawned (1) - 13 freq
ained (2) - 19 freq
damns (2) - 2 freq
damnt (2) - 15 freq
damnit (2) - 5 freq
dawed (2) - 3 freq
dinned (2) - 4 freq
darged (2) - 1 freq
daled (2) - 5 freq
dimmed (2) - 5 freq
vaned (2) - 1 freq
damien (2) - 2 freq
dumped (2) - 21 freq
dazed (2) - 4 freq
droned (2) - 4 freq
yarned (2) - 2 freq
daubed (2) - 3 freq
damn (2) - 73 freq
gamed (2) - 1 freq
fawned (2) - 1 freq
damned (0) - 39 freq
darned (2) - 2 freq
damndee (2) - 1 freq
damed (2) - 1 freq
dawned (2) - 13 freq
'damned (2) - 1 freq
dammed (2) - 2 freq
maened (3) - 1 freq
drained (3) - 22 freq
dooned (3) - 3 freq
dywned (3) - 1 freq
dined (3) - 5 freq
donned (3) - 2 freq
dwined (3) - 18 freq
demeaned (3) - 1 freq
damnin (3) - 2 freq
maned (3) - 2 freq
damaged (3) - 15 freq
limned (3) - 1 freq
derned (3) - 5 freq
downed (3) - 5 freq
dwyned (3) - 9 freq
demained (3) - 1 freq
domed (3) - 2 freq
dimmed (3) - 5 freq
SoundEx code - D530
don't - 560 freq
doomit - 2 freq
dunt - 92 freq
deen't - 3 freq
denied - 29 freq
damned - 39 freq
daint - 4 freq
deemed - 12 freq
dawned - 13 freq
dammit - 9 freq
dwyned - 9 freq
dwined - 18 freq
dimmed - 5 freq
dandy - 37 freq
'don't - 11 freq
doomed - 21 freq
dundee - 201 freq
din't - 4 freq
dined - 5 freq
damn't - 5 freq
donnt - 1 freq
'damned - 1 freq
dwinit - 4 freq
dawnit - 3 freq
daintie - 1 freq
dentie - 6 freq
deintie - 2 freq
dint - 10 freq
dont - 76 freq
dawn't - 3 freq
dandee - 1 freq
dammed - 2 freq
donned - 2 freq
dooned - 3 freq
downed - 5 freq
damnit - 5 freq
damnt - 15 freq
deemit - 2 freq
dwamed - 1 freq
denwette - 1 freq
daeint - 1 freq
dimwit - 2 freq
dae'nt - 1 freq
deein't - 1 freq
dant - 1 freq
'dundy' - 2 freq
denee'd - 2 freq
da-wind - 1 freq
donati - 3 freq
'dante - 1 freq
dante - 58 freq
dunnet - 1 freq
dainty - 4 freq
duimed - 2 freq
dwaamed - 2 freq
daunt - 3 freq
'dundee - 3 freq
dwaumed - 1 freq
dinned - 4 freq
dwynt - 1 freq
doant - 2 freq
domed - 2 freq
dent - 4 freq
denty - 6 freq
'don't' - 1 freq
damndee - 1 freq
dywned - 1 freq
damiotti - 2 freq
daein't - 1 freq
dounhaud - 1 freq
damt - 2 freq
deinty - 1 freq
dinnit - 1 freq
dunnit - 1 freq
€œdon't - 1 freq
damed - 1 freq
donate - 9 freq
€˜dundee - 1 freq
demit - 2 freq
deein-oot - 1 freq
dam't - 1 freq
daen-oot - 1 freq
dinda - 1 freq
dandie - 1 freq
dmÂ’d - 1 freq
donÂ’t - 14 freq
donut - 1 freq
dondy - 1 freq
dundeh - 1 freq
dinnet - 1 freq
“don’t - 1 freq
danite - 5 freq
dianeda - 1 freq
demmet - 1 freq
‘…denied - 1 freq
dunnett - 6 freq
dnd - 1 freq
MetaPhone code - TMNT
damned - 39 freq
demand - 51 freq
diamant - 2 freq
diamond - 12 freq
towmond - 12 freq
diamante - 2 freq
damn't - 5 freq
'damned - 1 freq
damnit - 5 freq
damnt - 15 freq
dominate - 3 freq
dehmond - 1 freq
damndee - 1 freq
demeaned - 1 freq
demained - 1 freq
demaund - 2 freq
DAMNED
Time to execute Levenshtein function - 0.317895 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 - 0.685472 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 - 0.069291 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 - 0.047563 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 - 0.001102 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.