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 maisser in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
maisser (0) - 1 freq
maister (1) - 216 freq
mainser (1) - 2 freq
maissers (1) - 1 freq
maisie (2) - 242 freq
raiser (2) - 2 freq
maisies (2) - 1 freq
massed (2) - 2 freq
maise (2) - 2 freq
haister (2) - 2 freq
kisser (2) - 5 freq
faister (2) - 16 freq
maistery (2) - 1 freq
maisson (2) - 4 freq
maimber (2) - 14 freq
maisiel (2) - 1 freq
maislee (2) - 12 freq
nasser (2) - 1 freq
masseur (2) - 2 freq
mairker (2) - 1 freq
mainer (2) - 9 freq
'maister (2) - 2 freq
maiter (2) - 67 freq
mayster (2) - 1 freq
yaiser (2) - 3 freq
maisser (0) - 1 freq
masseur (2) - 2 freq
maissers (2) - 1 freq
maister (2) - 216 freq
mainser (2) - 2 freq
missed (3) - 192 freq
moister (3) - 7 freq
missel (3) - 1 freq
sasser (3) - 11 freq
masse (3) - 1 freq
wasser (3) - 1 freq
missen (3) - 3 freq
massel (3) - 40 freq
mister (3) - 83 freq
missure (3) - 1 freq
meissure (3) - 1 freq
masses (3) - 12 freq
master (3) - 19 freq
massey (3) - 2 freq
mayster (3) - 1 freq
misses (3) - 16 freq
miser (3) - 4 freq
maisson (3) - 4 freq
maisies (3) - 1 freq
nasser (3) - 1 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
MAISSER
Time to execute Levenshtein function - 0.186400 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 - 0.401964 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 - 0.026972 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 - 0.040096 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 - 0.000789 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.