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 uhm in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
uhm (0) - 1 freq
uha (1) - 2 freq
ahm (1) - 201 freq
uh (1) - 8 freq
ihm (1) - 5 freq
fhm (1) - 1 freq
hm (1) - 12 freq
uhi (1) - 1 freq
um (1) - 142 freq
uhj (1) - 2 freq
uim (1) - 1 freq
hmo (2) - 1 freq
uup (2) - 4 freq
'uh (2) - 2 freq
nuh (2) - 4 freq
'hi (2) - 6 freq
rom (2) - 4 freq
aha (2) - 8 freq
ul (2) - 9 freq
jim (2) - 234 freq
ihy (2) - 1 freq
whom (2) - 17 freq
arm (2) - 50 freq
ucht (2) - 1 freq
hmm (2) - 22 freq
uhm (0) - 1 freq
ihm (1) - 5 freq
hm (1) - 12 freq
ahm (1) - 201 freq
hmi (2) - 2 freq
ham (2) - 49 freq
hym (2) - 5 freq
hem (2) - 27 freq
hom (2) - 38 freq
him (2) - 8386 freq
hum (2) - 44 freq
ahem (2) - 12 freq
ahim (2) - 3 freq
uim (2) - 1 freq
uha (2) - 2 freq
fhm (2) - 1 freq
uhj (2) - 2 freq
hmo (2) - 1 freq
um (2) - 142 freq
uhi (2) - 1 freq
uh (2) - 8 freq
hx (3) - 5 freq
tim (3) - 46 freq
wam (3) - 1 freq
vim (3) - 1 freq
SoundEx code - U500
um - 142 freq
uhm - 1 freq
'um - 27 freq
uni - 51 freq
un - 31 freq
ume - 2 freq
umah - 1 freq
unn - 5 freq
uim - 1 freq
une - 4 freq
uuno - 1 freq
uneo - 1 freq
€˜um - 33 freq
uon - 1 freq
uno - 1 freq
unyo - 1 freq
umae - 1 freq
uiwm - 1 freq
uun - 1 freq
MetaPhone code - UM
um - 142 freq
uhm - 1 freq
'um - 27 freq
ume - 2 freq
umah - 1 freq
uim - 1 freq
€˜um - 33 freq
umae - 1 freq
uiwm - 1 freq
UHM
Time to execute Levenshtein function - 0.202228 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 - 0.491463 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 - 0.059453 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 - 0.078398 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 - 0.001102 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.