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 motir in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
motir (0) - 12 freq
motirs (1) - 2 freq
motie (1) - 1 freq
moir (1) - 1 freq
dotir (1) - 1 freq
motor (1) - 164 freq
moter (1) - 5 freq
motif (1) - 1 freq
votit (2) - 42 freq
meir (2) - 7 freq
ooir (2) - 1 freq
mowi (2) - 1 freq
mover (2) - 1 freq
soir (2) - 1 freq
motòr (2) - 2 freq
malir (2) - 1 freq
matin (2) - 5 freq
monie (2) - 589 freq
ooter (2) - 25 freq
mor (2) - 15 freq
meter (2) - 8 freq
mettir (2) - 2 freq
owir (2) - 7 freq
votin (2) - 45 freq
moder (2) - 2 freq
motir (0) - 12 freq
moter (1) - 5 freq
motor (1) - 164 freq
mtr (2) - 1 freq
meter (2) - 8 freq
metier (2) - 1 freq
matur (2) - 1 freq
matr (2) - 7 freq
mater (2) - 16 freq
dotir (2) - 1 freq
motie (2) - 1 freq
motirs (2) - 2 freq
motif (2) - 1 freq
moir (2) - 1 freq
notar (3) - 2 freq
moters (3) - 1 freq
motes (3) - 3 freq
votar (3) - 1 freq
aftir (3) - 1 freq
eftir (3) - 500 freq
tir (3) - 4 freq
retir (3) - 1 freq
motte (3) - 1 freq
'motor (3) - 6 freq
mutit (3) - 1 freq
SoundEx code - M360
maitter - 383 freq
mither - 1378 freq
metter - 53 freq
matter - 178 freq
matr - 7 freq
mother - 97 freq
mutter - 10 freq
motor - 164 freq
mature - 17 freq
maiter - 71 freq
mid-air - 8 freq
madder - 5 freq
m'dear - 1 freq
'mither - 12 freq
metier - 1 freq
'motor - 6 freq
matter' - 1 freq
miuther - 1 freq
mither' - 4 freq
motorway - 8 freq
moter - 5 freq
meter - 8 freq
motorwiy - 2 freq
mater - 16 freq
metther - 1 freq
metre - 13 freq
'mature - 1 freq
mettér - 5 freq
motir - 12 freq
mithir - 15 freq
mettèr - 7 freq
'mother' - 2 freq
meteor - 1 freq
midder - 64 freq
motthor - 2 freq
maettir - 1 freq
mitherie - 1 freq
mother' - 1 freq
matther - 2 freq
muthur - 1 freq
matur - 1 freq
möder - 1 freq
mettir - 2 freq
€˜midder - 1 freq
€œmither - 3 freq
modere - 1 freq
€˜mother - 2 freq
maeter - 2 freq
€˜mither - 1 freq
maither - 1 freq
moather - 5 freq
mettur - 1 freq
mitre - 2 freq
metro - 3 freq
muther - 26 freq
mithier - 1 freq
motòr - 2 freq
myther - 2 freq
'mither' - 1 freq
mitter - 1 freq
midori - 2 freq
mtr - 1 freq
moadore - 9 freq
moder - 2 freq
'maitter' - 1 freq
MetaPhone code - MTR
maitter - 383 freq
metter - 53 freq
matter - 178 freq
matr - 7 freq
mutter - 10 freq
motor - 164 freq
mature - 17 freq
maiter - 71 freq
mid-air - 8 freq
madder - 5 freq
m'dear - 1 freq
metier - 1 freq
'motor - 6 freq
matter' - 1 freq
moter - 5 freq
meter - 8 freq
mater - 16 freq
metther - 1 freq
metre - 13 freq
'mature - 1 freq
mettér - 5 freq
motir - 12 freq
mettèr - 7 freq
meteor - 1 freq
midder - 64 freq
motthor - 2 freq
maettir - 1 freq
matther - 2 freq
matur - 1 freq
möder - 1 freq
mettir - 2 freq
€˜midder - 1 freq
modere - 1 freq
maeter - 2 freq
mettur - 1 freq
mitre - 2 freq
metro - 3 freq
motòr - 2 freq
mitter - 1 freq
midori - 2 freq
mtr - 1 freq
moadore - 9 freq
moder - 2 freq
'maitter' - 1 freq
MOTIR
Time to execute Levenshtein function - 0.191881 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 - 0.324604 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 - 0.027486 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 - 0.037822 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 - 0.000898 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.