A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to ma in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ma (0) - 15179 freq
mag (1) - 25 freq
mar (1) - 16 freq
ia (1) - 5 freq
moa (1) - 20 freq
ml (1) - 12 freq
mao (1) - 2 freq
ma' (1) - 5 freq
m' (1) - 1 freq
da (1) - 9788 freq
fa (1) - 751 freq
ra (1) - 12 freq
'ma (1) - 79 freq
may (1) - 449 freq
mia (1) - 8 freq
mas (1) - 7 freq
va (1) - 5 freq
mj (1) - 6 freq
-a (1) - 2 freq
mn (1) - 8 freq
ha (1) - 181 freq
mi (1) - 246 freq
mad (1) - 356 freq
mo (1) - 32 freq
man (1) - 3502 freq
ma (0) - 15179 freq
mia (1) - 8 freq
may (1) - 449 freq
ima (1) - 1 freq
mae (1) - 361 freq
mi (1) - 246 freq
mo (1) - 32 freq
oma (1) - 81 freq
my (1) - 2963 freq
mu (1) - 11 freq
mea (1) - 5 freq
m (1) - 847 freq
moa (1) - 20 freq
me (1) - 12981 freq
mai (1) - 4 freq
mao (1) - 2 freq
maa (1) - 16 freq
em (2) - 354 freq
wa (2) - 148 freq
am (2) - 1545 freq
mah (2) - 379 freq
maaa (2) - 4 freq
yam (2) - 2 freq
muu (2) - 2 freq
mye (2) - 6 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
MA
ma - 15179 freq
my - 2963 freq
me - 12981 freq
meh - 192 freq
masel - 1037 freq
myself - 47 freq
maw - 392 freq
ma - 15179 freq
Time to execute Levenshtein function - 0.324752 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 - 0.360238 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 - 0.028238 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 - 0.038406 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 - 0.000998 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.