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 boffins in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
boffins (0) - 3 freq
boffin (1) - 2 freq
coffins (1) - 6 freq
daffins (2) - 1 freq
coffin (2) - 67 freq
coffins' (2) - 2 freq
baffies (2) - 21 freq
boppins (2) - 1 freq
doffin (2) - 2 freq
boomins (2) - 1 freq
coffin's (2) - 1 freq
baffin (2) - 1 freq
buffin' (2) - 1 freq
offin (2) - 20 freq
soffin (2) - 1 freq
puffins (2) - 5 freq
'boffin' (2) - 1 freq
offies (2) - 1 freq
boufin (2) - 3 freq
bowfin' (2) - 1 freq
offing (2) - 1 freq
bowfin (2) - 28 freq
bowffin (2) - 1 freq
bouffin (2) - 1 freq
skiffins (3) - 2 freq
boffins (0) - 3 freq
coffins (2) - 6 freq
boffin (2) - 2 freq
puffins (3) - 5 freq
bouffin (3) - 1 freq
buffin' (3) - 1 freq
baffin (3) - 1 freq
baffies (3) - 21 freq
daffins (3) - 1 freq
offing (4) - 1 freq
bowfin (4) - 28 freq
affens (4) - 8 freq
buffs (4) - 4 freq
baffles (4) - 1 freq
sauffins (4) - 1 freq
baffie's (4) - 5 freq
offense (4) - 1 freq
bowfin' (4) - 1 freq
buffers (4) - 1 freq
bowffin (4) - 1 freq
boppins (4) - 1 freq
doffin (4) - 2 freq
coffin (4) - 67 freq
boufin (4) - 3 freq
boomins (4) - 1 freq
SoundEx code - B152
behaving - 4 freq
bevvying - 1 freq
bio-weapons - 1 freq
boffins - 3 freq
beeping - 1 freq
bubonic - 1 freq
booboomcculloch - 1 freq
biffemojis - 1 freq
boppins - 1 freq
MetaPhone code - BFNS
boffins - 3 freq
BOFFINS
Time to execute Levenshtein function - 0.235417 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 - 0.430284 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 - 0.035223 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 - 0.038437 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 - 0.001151 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.