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 meh in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
meh (0) - 192 freq
mey (1) - 87 freq
mew (1) - 2 freq
peh (1) - 2 freq
met (1) - 413 freq
mec (1) - 1 freq
me- (1) - 1 freq
mh (1) - 3 freq
eeh (1) - 1 freq
weh (1) - 27 freq
mehr (1) - 1 freq
mbh (1) - 1 freq
mem (1) - 3 freq
heh (1) - 41 freq
med (1) - 184 freq
'eh (1) - 21 freq
'meh (1) - 1 freq
mwh (1) - 1 freq
meo (1) - 1 freq
me' (1) - 17 freq
me (1) - 12981 freq
teh (1) - 1 freq
ieh (1) - 1 freq
mph (1) - 2 freq
mep (1) - 13 freq
meh (0) - 192 freq
mh (1) - 3 freq
mueh (1) - 1 freq
mah (1) - 379 freq
eh (2) - 1202 freq
leh (2) - 3 freq
deh (2) - 5 freq
mth (2) - 1 freq
jeh (2) - 1 freq
mel (2) - 4 freq
mes (2) - 3 freq
meg (2) - 133 freq
mesh (2) - 11 freq
mee (2) - 23 freq
umah (2) - 1 freq
maha (2) - 3 freq
meeeh (2) - 3 freq
mhu (2) - 1 freq
mef (2) - 2 freq
mer (2) - 7 freq
mea (2) - 5 freq
mek (2) - 1 freq
men (2) - 1141 freq
mei (2) - 86 freq
yeh (2) - 7 freq
SoundEx code - M000
ma - 15179 freq
me - 12981 freq
may - 449 freq
mou - 178 freq
my - 2963 freq
maw - 392 freq
'ma - 79 freq
me' - 17 freq
moo - 175 freq
mi - 246 freq
me-ah - 1 freq
m- - 8 freq
m - 847 freq
mah - 379 freq
mo - 32 freq
'my - 41 freq
'm - 18 freq
''m - 8 freq
'me - 15 freq
mu - 11 freq
mea - 5 freq
mn - 8 freq
mmm - 21 freq
moo' - 1 freq
mawhi - 1 freq
mey - 87 freq
'moo' - 1 freq
'mah - 2 freq
'may - 2 freq
mm - 19 freq
meeeee - 1 freq
'mmm - 1 freq
'm'a - 1 freq
mae - 361 freq
mei - 86 freq
mma - 3 freq
mie - 3 freq
mee - 23 freq
maa - 16 freq
'mm - 1 freq
ma' - 5 freq
'maw - 2 freq
moi - 2 freq
moe - 2 freq
mia - 8 freq
mmmm - 7 freq
meh - 192 freq
'meh - 1 freq
maaa - 4 freq
m'ma - 2 freq
mai - 4 freq
maya - 2 freq
mew - 2 freq
mön - 10 freq
mow - 4 freq
mayo - 3 freq
®ma - 1 freq
mooo - 2 freq
mmm-mmm-mmm-m'mmm-my - 2 freq
miaow - 1 freq
'mo - 3 freq
mueh - 1 freq
™mo - 2 freq
ˆm - 2 freq
›m - 2 freq
mowe - 1 freq
mi' - 1 freq
'me' - 1 freq
may' - 1 freq
€™m - 1287 freq
€˜maw - 1 freq
meow - 3 freq
€œma - 17 freq
€œmi - 1 freq
€˜my - 8 freq
ðém - 1 freq
€œmy - 20 freq
€˜ma - 8 freq
mawe - 6 freq
€œmey - 1 freq
€˜m - 4 freq
€œmmmm - 1 freq
€œme - 10 freq
mae- - 2 freq
€˜me - 7 freq
meo - 1 freq
meeeh - 3 freq
mw - 2 freq
€™ma - 4 freq
€œmmmmm - 2 freq
my- - 1 freq
€œmooooo - 1 freq
maha - 3 freq
€™me - 3 freq
€œm - 1 freq
€œmeh - 1 freq
moa - 20 freq
me- - 1 freq
àm - 1 freq
m'n - 3 freq
m' - 1 freq
mowi - 1 freq
mooie - 3 freq
myo - 1 freq
mye - 6 freq
mui - 1 freq
mhu - 1 freq
mao - 2 freq
mh - 3 freq
mhw - 1 freq
'maw' - 1 freq
'ma' - 1 freq
meeeeeeeeee - 1 freq
mmmmm - 1 freq
meÂ’ - 1 freq
maw” - 1 freq
mwh - 1 freq
mmw - 1 freq
“me - 1 freq
muu - 2 freq
'mae - 1 freq
‘my - 1 freq
'may' - 1 freq
meeee - 1 freq
MetaPhone code - M
ma - 15179 freq
me - 12981 freq
may - 449 freq
mou - 178 freq
my - 2963 freq
maw - 392 freq
'ma - 79 freq
me' - 17 freq
moo - 175 freq
mi - 246 freq
hmm - 22 freq
me-ah - 1 freq
m- - 8 freq
m - 847 freq
mbe - 5 freq
hm - 13 freq
mah - 379 freq
'hmm - 1 freq
mo - 32 freq
'my - 41 freq
'm - 18 freq
''m - 8 freq
'me - 15 freq
mu - 11 freq
mea - 5 freq
mmm - 21 freq
moo' - 1 freq
mey - 87 freq
'moo' - 1 freq
'mah - 2 freq
'may - 2 freq
mm - 19 freq
meeeee - 1 freq
'mmm - 1 freq
'm'a - 1 freq
mae - 361 freq
mei - 86 freq
mma - 3 freq
mie - 3 freq
mee - 23 freq
maa - 16 freq
'mm - 1 freq
ma' - 5 freq
'hmmm - 2 freq
'maw - 2 freq
moi - 2 freq
moe - 2 freq
mia - 8 freq
mmmm - 7 freq
meh - 192 freq
ym - 2 freq
'meh - 1 freq
maaa - 4 freq
hïm - 575 freq
mai - 4 freq
hmmmm - 4 freq
hym - 5 freq
wyme - 5 freq
mew - 2 freq
wymie - 1 freq
mow - 4 freq
®ma - 1 freq
hæm - 2 freq
mooo - 2 freq
miaow - 1 freq
'mo - 3 freq
mueh - 1 freq
™mo - 2 freq
ˆm - 2 freq
›m - 2 freq
y'm - 1 freq
mi' - 1 freq
'me' - 1 freq
may' - 1 freq
€™m - 1287 freq
€˜maw - 1 freq
höm - 1 freq
€˜hmm - 3 freq
meow - 3 freq
€œma - 17 freq
€œmi - 1 freq
€˜my - 8 freq
ðém - 1 freq
€œmy - 20 freq
€˜ma - 8 freq
€œmey - 1 freq
€˜m - 4 freq
€œmmmm - 1 freq
€œme - 10 freq
mae- - 2 freq
€˜me - 7 freq
meo - 1 freq
meeeh - 3 freq
mw - 2 freq
hmi - 2 freq
€™ma - 4 freq
€œmmmmm - 2 freq
€˜hmi - 1 freq
my- - 1 freq
€œmooooo - 1 freq
€™me - 3 freq
€œm - 1 freq
€œhmm - 1 freq
€œmeh - 1 freq
moa - 20 freq
me- - 1 freq
àm - 1 freq
m' - 1 freq
€™hm - 1 freq
hmbbw - 1 freq
mb - 5 freq
mooie - 3 freq
wm- - 1 freq
mui - 1 freq
mao - 2 freq
ymm - 1 freq
mh - 3 freq
mby - 1 freq
mhw - 1 freq
hmmm - 7 freq
'maw' - 1 freq
'ma' - 1 freq
meeeeeeeeee - 1 freq
mmmmm - 1 freq
meÂ’ - 1 freq
maw” - 1 freq
hmo - 1 freq
wm - 12 freq
mwh - 1 freq
mmw - 1 freq
“me - 1 freq
muu - 2 freq
'mae - 1 freq
mbu - 1 freq
wmu - 1 freq
wme - 1 freq
‘my - 1 freq
mbh - 1 freq
'may' - 1 freq
meeee - 1 freq
hyme - 6 freq
“hyme - 1 freq
hyme” - 1 freq
MEH
ma - 15179 freq
my - 2963 freq
me - 12981 freq
meh - 192 freq
masel - 1037 freq
myself - 47 freq
Time to execute Levenshtein function - 0.175530 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 - 0.326135 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 - 0.027274 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 - 0.037239 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 - 0.000900 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.