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 donsmadman in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
donsmadman (0) - 1 freq
roadman (4) - 3 freq
on-mannan (4) - 1 freq
rossmadden (4) - 1 freq
donsbarca (4) - 12 freq
madman (4) - 7 freq
consarn (5) - 6 freq
orraman (5) - 3 freq
dreaman (5) - 2 freq
seaman (5) - 4 freq
donside (5) - 4 freq
houseman (5) - 2 freq
consumin (5) - 3 freq
donaldson (5) - 20 freq
on-gaan (5) - 1 freq
deadpan (5) - 3 freq
roadmap (5) - 2 freq
dosan (5) - 1 freq
naaman (5) - 2 freq
indiaman (5) - 1 freq
roadmen (5) - 1 freq
doonloadin (5) - 1 freq
road-man (5) - 1 freq
dalaman (5) - 1 freq
breadman (5) - 1 freq
donsmadman (0) - 1 freq
madman (7) - 7 freq
densemen (7) - 1 freq
rossmadden (7) - 1 freq
manmademoon (8) - 1 freq
dansan (8) - 10 freq
indiaman (8) - 1 freq
doonloadin (8) - 1 freq
smarmin (8) - 1 freq
andaman (8) - 1 freq
someman (8) - 1 freq
dunstan (8) - 1 freq
kinsman (8) - 5 freq
toonsman (8) - 1 freq
drumduan (8) - 1 freq
donsdaiiy (8) - 6 freq
madmen (8) - 1 freq
donsbarca (8) - 12 freq
on-mannan (8) - 1 freq
roadman (8) - 3 freq
disarmin (8) - 1 freq
donside (8) - 4 freq
donaldson (8) - 20 freq
consumin (8) - 3 freq
dinsdale (9) - 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 - TNSMTMN
donsmadman - 1 freq
DONSMADMAN
Time to execute Levenshtein function - 0.231291 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 - 0.384304 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 - 0.028018 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 - 0.037705 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 - 0.000880 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.