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 bemeanit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bemeanit (0) - 1 freq
bemeanin (1) - 2 freq
bemeanan (2) - 1 freq
bemeaning (2) - 1 freq
demeanin (2) - 3 freq
smeakit (3) - 1 freq
beheidit (3) - 6 freq
beenie (3) - 5 freq
benefit (3) - 73 freq
revealit (3) - 2 freq
meanin (3) - 201 freq
repeatit (3) - 52 freq
bekeit (3) - 1 freq
begeckit (3) - 1 freq
remnant (3) - 7 freq
emerant (3) - 9 freq
remeidit (3) - 1 freq
dementit (3) - 22 freq
bemoaning (3) - 1 freq
bemoan (3) - 1 freq
meinit (3) - 28 freq
defeatit (3) - 5 freq
belevit (3) - 1 freq
demean (3) - 1 freq
meenit (3) - 529 freq
bemeanit (0) - 1 freq
bemeanin (2) - 2 freq
beaminit (3) - 1 freq
bemeanan (3) - 1 freq
bemeaning (4) - 1 freq
remeent (4) - 2 freq
meinit (4) - 28 freq
remainit (4) - 1 freq
meenit (4) - 529 freq
meant (4) - 461 freq
remant (4) - 1 freq
cement (4) - 27 freq
menit (4) - 2 freq
bemoan (4) - 1 freq
bejant (4) - 4 freq
demeanin (4) - 3 freq
ment (5) - 18 freq
brent (5) - 17 freq
blent (5) - 6 freq
laminit (5) - 1 freq
belmont (5) - 6 freq
foment (5) - 2 freq
briant (5) - 1 freq
damnit (5) - 5 freq
meenite (5) - 1 freq
SoundEx code - B553
beaminit - 1 freq
ben-end - 3 freq
bannantyne's - 1 freq
bemeanit - 1 freq
bi-monthly - 1 freq
beaumont-hamel - 3 freq
benandonner - 3 freq
bananadaquiri - 1 freq
MetaPhone code - BMNT
beaminit - 1 freq
bemeanit - 1 freq
BEMEANIT
Time to execute Levenshtein function - 0.206788 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 - 0.413189 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 - 0.031620 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 - 0.042114 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 - 0.001081 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.