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 hmm in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hmm (0) - 22 freq
hamm (1) - 1 freq
amm (1) - 1 freq
ymm (1) - 1 freq
hms (1) - 8 freq
hm (1) - 13 freq
hmp (1) - 1 freq
hmv (1) - 2 freq
hmi (1) - 2 freq
htm (1) - 17 freq
hmo (1) - 1 freq
emm (1) - 6 freq
himm (1) - 1 freq
omm (1) - 1 freq
hom (1) - 38 freq
hlmm (1) - 1 freq
ahmm (1) - 1 freq
kmm (1) - 1 freq
mm (1) - 19 freq
hym (1) - 5 freq
'mm (1) - 1 freq
hemm (1) - 12 freq
ham (1) - 49 freq
hmt (1) - 1 freq
him (1) - 8459 freq
hmm (0) - 22 freq
ahmm (1) - 1 freq
himm (1) - 1 freq
hemm (1) - 12 freq
hamm (1) - 1 freq
him (2) - 8459 freq
hmt (2) - 1 freq
ham (2) - 49 freq
'mm (2) - 1 freq
hum (2) - 45 freq
mmm (2) - 21 freq
hammy (2) - 7 freq
hemme (2) - 2 freq
hemmi (2) - 1 freq
haimm (2) - 1 freq
hummy (2) - 1 freq
hym (2) - 5 freq
hem (2) - 27 freq
hmmm (2) - 7 freq
'hmm (2) - 1 freq
hm (2) - 13 freq
hms (2) - 8 freq
hmi (2) - 2 freq
ymm (2) - 1 freq
amm (2) - 1 freq
SoundEx code - H500
him - 8459 freq
haun - 931 freq
hame - 2346 freq
hen - 415 freq
haein - 661 freq
hinnie - 24 freq
hyne - 56 freq
hon - 11 freq
'him - 3 freq
hinna - 86 freq
haan - 95 freq
hmm - 22 freq
haen - 156 freq
hyne-awa - 5 freq
haena - 49 freq
hem - 27 freq
hame' - 6 freq
him-how - 1 freq
how'm - 4 freq
-how'm - 1 freq
hain - 63 freq
hum - 45 freq
han - 393 freq
hayin - 5 freq
hm - 13 freq
hawn - 33 freq
'hmm - 1 freq
home - 280 freq
hume - 10 freq
hime - 17 freq
'hum - 2 freq
hinny - 24 freq
ha''in - 1 freq
hymn - 17 freq
'hame - 2 freq
hinnae - 50 freq
hoyon - 1 freq
haim - 39 freq
'ham - 3 freq
heem - 17 freq
him' - 15 freq
han' - 24 freq
ham - 49 freq
haean - 12 freq
hannah - 10 freq
heaney - 4 freq
hin - 36 freq
hoyin - 5 freq
'hen' - 2 freq
hane - 4 freq
hun - 9 freq
haenae - 18 freq
hee'm - 1 freq
'home - 1 freq
hannie - 3 freq
hine - 26 freq
honey - 413 freq
haein' - 6 freq
henna - 7 freq
hayen - 13 freq
hein - 2 freq
heim - 2 freq
heen - 4 freq
hen' - 2 freq
haun' - 2 freq
hyyyyyyyyyaaaaaaawwwn - 1 freq
ha'en - 5 freq
'hmmm - 2 freq
haime - 26 freq
'hen - 4 freq
ha'in - 9 freq
hiein - 1 freq
hennae - 1 freq
hae'in - 6 freq
hawin - 2 freq
heehawin - 1 freq
hunny - 3 freq
hïm - 575 freq
heyin - 1 freq
hyowin - 2 freq
hmmmm - 4 freq
honou' - 1 freq
hae'n - 2 freq
hym - 5 freq
hom - 38 freq
hoween - 1 freq
home' - 2 freq
hann - 23 freq
hummy - 1 freq
hae-in - 1 freq
haem - 53 freq
hemme - 2 freq
'home' - 1 freq
hæm - 2 freq
howan - 1 freq
hewn - 2 freq
hawaiian - 1 freq
hoam - 4 freq
hahn - 2 freq
heine - 3 freq
hyena - 4 freq
hyneawa - 2 freq
'haein - 1 freq
homo - 3 freq
'hame' - 3 freq
haenna - 3 freq
€˜haem - 1 freq
höm - 1 freq
houane - 5 freq
€˜hmm - 3 freq
haimm - 1 freq
hemmi - 1 freq
hanna - 11 freq
hannaa - 1 freq
hinney - 6 freq
hium - 1 freq
hyne-awaw - 1 freq
hayme - 1 freq
hine-awa - 1 freq
hame- - 1 freq
henny - 10 freq
€œhenny - 3 freq
hmi - 2 freq
himm - 1 freq
hammy - 7 freq
him--- - 1 freq
howein - 1 freq
€˜hmi - 1 freq
haun- - 1 freq
hennie - 6 freq
€œhemm - 1 freq
hemm - 12 freq
hima - 4 freq
€œhmm - 1 freq
€œhoney - 1 freq
€˜hame - 1 freq
€œhomo - 1 freq
ha'ein - 1 freq
€™hm - 1 freq
hny - 1 freq
haÂ’en - 1 freq
hn - 3 freq
heni - 2 freq
hwn - 1 freq
hanoi - 1 freq
haain - 1 freq
hina - 2 freq
hameÂ’ - 1 freq
hmmm - 7 freq
hanÂ’ - 2 freq
haÂ’in - 2 freq
heain' - 1 freq
hinn - 1 freq
hmo - 1 freq
hen” - 1 freq
hauna - 5 freq
hame” - 2 freq
“hame - 1 freq
‘hen’ - 2 freq
hunni - 5 freq
hamm - 1 freq
hyme - 6 freq
“home - 1 freq
“hyme - 1 freq
hyme” - 1 freq
hawn' - 2 freq
hanny - 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
HMM
Time to execute Levenshtein function - 0.196433 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 - 0.326576 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 - 0.027949 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 - 0.036979 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 - 0.000901 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.