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 doungang in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
doungang (0) - 1 freq
doungate (2) - 1 freq
doungaun (2) - 2 freq
countan (3) - 1 freq
pounding (3) - 1 freq
longing (3) - 1 freq
dougal (3) - 2 freq
counting (3) - 4 freq
dounfaw (3) - 5 freq
duncing (3) - 3 freq
dunning (3) - 1 freq
foungin (3) - 1 freq
ootgang (3) - 4 freq
dougmcg (3) - 5 freq
dounhaud (3) - 1 freq
doubling (3) - 1 freq
dinging (3) - 1 freq
downing (3) - 2 freq
duncan (3) - 99 freq
foregang (3) - 1 freq
bouncing (3) - 5 freq
ingang (3) - 21 freq
dodgan (3) - 1 freq
youngins (3) - 1 freq
dodging (3) - 2 freq
doungang (0) - 1 freq
dinging (3) - 1 freq
doungaun (3) - 2 freq
dongting (4) - 2 freq
daunting (4) - 1 freq
dungen (4) - 1 freq
ingang (4) - 21 freq
dodging (4) - 2 freq
dunning (4) - 1 freq
dingan (4) - 2 freq
longing (4) - 1 freq
duncing (4) - 3 freq
doungate (4) - 1 freq
dungeons (5) - 5 freq
tonguing (5) - 1 freq
hingng (5) - 1 freq
minging (5) - 5 freq
dauncan (5) - 1 freq
banging (5) - 10 freq
dangin (5) - 1 freq
cowgang (5) - 1 freq
bounding (5) - 1 freq
sounding (5) - 1 freq
donating (5) - 2 freq
darging (5) - 1 freq
SoundEx code - D525
dauncin - 28 freq
dancin - 138 freq
donsieness - 1 freq
dingin - 59 freq
doun-come - 1 freq
'dancing - 1 freq
dancing - 31 freq
dangin - 1 freq
dungeon - 7 freq
dinkin-up - 1 freq
dungeons - 5 freq
duncan - 99 freq
diansangu - 1 freq
duncin - 23 freq
dungannon - 1 freq
dancean - 3 freq
dennison - 10 freq
danceen - 4 freq
dunjin - 1 freq
dansin - 14 freq
danson - 1 freq
donkey-engine - 1 freq
dancan - 8 freq
dunkin - 2 freq
din-skinnt - 1 freq
denizens - 1 freq
dunnichen - 1 freq
dancin's - 1 freq
dingyin - 1 freq
duncansby - 1 freq
dingan - 2 freq
dunchin - 5 freq
danssin - 2 freq
dansan - 10 freq
dinsome - 3 freq
duncans - 1 freq
dancin' - 4 freq
dauncan - 1 freq
dung-midden - 1 freq
doungang - 1 freq
douncome - 2 freq
dungen - 1 freq
duncan's - 1 freq
demission - 2 freq
doungaun - 2 freq
dimínishin - 1 freq
daunce-mask - 1 freq
demissioun - 1 freq
damagin - 3 freq
dinghiein - 1 freq
damaging - 1 freq
denizen - 1 freq
dancin-cunning - 1 freq
demesne - 1 freq
damascene - 1 freq
densemen - 1 freq
dinsmore - 2 freq
dingiein - 2 freq
dingin-doon - 1 freq
dumgoyne - 1 freq
dooncome - 1 freq
dinging - 1 freq
duncing - 3 freq
duncancltaylor - 5 freq
dancingshoes - 1 freq
donsmadman - 1 freq
duncanhotchkiss - 2 freq
dwangin' - 1 freq
duncanwchisholm - 4 freq
duncanwilliam - 1 freq
damson - 1 freq
dancingabc - 1 freq
dongmakgol - 1 freq
dunnjons - 5 freq
dauncin' - 1 freq
dinsmoor - 1 freq
dmxwmpruo - 1 freq
MetaPhone code - TNKNK
doungang - 1 freq
tonguing - 1 freq
tinking - 1 freq
DOUNGANG
Time to execute Levenshtein function - 0.196033 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 - 0.365315 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 - 0.027385 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 - 0.036911 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 - 0.000916 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.