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 mowser in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mowser (0) - 12 freq
mower (1) - 15 freq
mowsers (1) - 1 freq
mouser (1) - 3 freq
mowse (1) - 2 freq
dowser (1) - 1 freq
towser (1) - 6 freq
bowser (1) - 4 freq
mowten (2) - 1 freq
muwer (2) - 1 freq
morsel (2) - 5 freq
dowsed (2) - 1 freq
monger (2) - 1 freq
rowler (2) - 2 freq
gowster (2) - 2 freq
power (2) - 166 freq
loser (2) - 4 freq
sower (2) - 1 freq
dowter (2) - 8 freq
owsed (2) - 9 freq
rower (2) - 2 freq
lowsed (2) - 72 freq
howker (2) - 2 freq
mousey (2) - 6 freq
'ower (2) - 12 freq
mowser (0) - 12 freq
dowser (2) - 1 freq
towser (2) - 6 freq
mowse (2) - 2 freq
bowser (2) - 4 freq
mower (2) - 15 freq
mouser (2) - 3 freq
mowsers (2) - 1 freq
miser (3) - 4 freq
mows (3) - 1 freq
bowsier (3) - 1 freq
muwer (3) - 1 freq
dowse (4) - 2 freq
mowe (4) - 1 freq
browser (4) - 4 freq
mosses (4) - 6 freq
lowses (4) - 6 freq
howder (4) - 1 freq
moter (4) - 5 freq
mowed (4) - 1 freq
moister (4) - 7 freq
dower (4) - 2 freq
downer (4) - 1 freq
monster (4) - 52 freq
cowper (4) - 2 freq
SoundEx code - M260
measure - 27 freq
meesure - 2 freq
makar - 97 freq
major - 108 freq
misery - 31 freq
maker - 17 freq
mascara - 3 freq
meesery - 5 freq
mixer - 5 freq
maugre - 34 freq
mucker - 11 freq
meisure - 20 freq
moger - 1 freq
'major - 1 freq
mcguire - 4 freq
meisur - 17 freq
mockery - 9 freq
meagre - 9 freq
maigre - 1 freq
mauger - 8 freq
machair - 3 freq
mowser - 12 freq
micro - 2 freq
mckerrow - 2 freq
makker - 7 freq
makar' - 1 freq
maisser - 1 freq
majer - 1 freq
mayjer - 1 freq
misure - 8 freq
m'grew - 1 freq
makeower - 1 freq
meissure - 1 freq
micra - 1 freq
masseur - 2 freq
maguire - 26 freq
miser - 4 freq
mazr - 1 freq
mizzour - 3 freq
miesjir - 1 freq
mouser - 3 freq
mizzer - 4 freq
mcr - 1 freq
'micro' - 3 freq
makkar - 3 freq
maaker - 1 freq
maeshur - 1 freq
mcgraw - 1 freq
missure - 1 freq
émigré - 1 freq
maskara - 1 freq
maisure - 1 freq
miserie - 5 freq
megara - 3 freq
macro - 2 freq
maager - 1 freq
'makar - 1 freq
meiserie - 1 freq
macrae - 5 freq
machar - 9 freq
miscarry - 2 freq
misyur - 1 freq
mcrae - 4 freq
mcwhir - 1 freq
macwhir - 1 freq
mcquarry - 2 freq
maisrie - 2 freq
measuir - 1 freq
mizzure - 1 freq
mjr - 23 freq
mccr - 1 freq
mikeyr - 1 freq
moocher - 2 freq
mogre - 1 freq
mcgerry - 1 freq
meysr - 1 freq
mjchr - 1 freq
macari - 1 freq
MetaPhone code - MSR
measure - 27 freq
meesure - 2 freq
misery - 31 freq
meesery - 5 freq
meisure - 20 freq
meisur - 17 freq
mowser - 12 freq
maisser - 1 freq
misure - 8 freq
meissure - 1 freq
masseur - 2 freq
miser - 4 freq
mazr - 1 freq
mizzour - 3 freq
mouser - 3 freq
mizzer - 4 freq
missure - 1 freq
maisure - 1 freq
miserie - 5 freq
meiserie - 1 freq
maisrie - 2 freq
measuir - 1 freq
mizzure - 1 freq
meysr - 1 freq
MOWSER
Time to execute Levenshtein function - 0.228561 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 - 0.377104 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 - 0.032586 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 - 0.039915 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 - 0.000814 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.