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 boabby in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
boabby (0) - 23 freq
hoabby (1) - 1 freq
bobby (1) - 45 freq
boaby (1) - 5 freq
loabby (1) - 24 freq
babby (1) - 25 freq
boay (2) - 199 freq
boabbin (2) - 1 freq
boady (2) - 84 freq
boanny (2) - 4 freq
lobby (2) - 79 freq
tabby (2) - 15 freq
jobby (2) - 10 freq
boab (2) - 53 freq
bombay (2) - 5 freq
boabin (2) - 1 freq
habby (2) - 2 freq
baby (2) - 117 freq
boaty (2) - 7 freq
bibby (2) - 3 freq
abby (2) - 16 freq
boab's (2) - 3 freq
boabie (2) - 2 freq
loaby (2) - 3 freq
hobby (2) - 14 freq
boabby (0) - 23 freq
babby (1) - 25 freq
bobby (1) - 45 freq
bibby (2) - 3 freq
loabby (2) - 24 freq
hoabby (2) - 1 freq
boaby (2) - 5 freq
hobby (3) - 14 freq
boabie (3) - 2 freq
abby (3) - 16 freq
robby (3) - 5 freq
babbie (3) - 34 freq
nobby (3) - 1 freq
bubba (3) - 1 freq
bobbie (3) - 15 freq
boabs (3) - 1 freq
booby (3) - 9 freq
gabby (3) - 1 freq
fabby (3) - 68 freq
boabbin (3) - 1 freq
jobby (3) - 10 freq
tabby (3) - 15 freq
lobby (3) - 79 freq
bombay (3) - 5 freq
boab (3) - 53 freq
SoundEx code - B100
bob - 213 freq
bowff - 1 freq
bobby - 45 freq
boab - 53 freq
baby - 117 freq
babe - 11 freq
babbie - 34 freq
bevie - 2 freq
boof - 3 freq
boeuf - 1 freq
beef - 79 freq
bobbie - 15 freq
bib - 8 freq
babby - 25 freq
bawbee - 23 freq
babie - 1 freq
bowf - 9 freq
boabby - 23 freq
befaw - 3 freq
beefie - 1 freq
bevvy - 18 freq
befa - 2 freq
baba - 2 freq
baffy - 3 freq
bye-bye - 1 freq
behave - 37 freq
befaa - 6 freq
bappie - 1 freq
bap - 16 freq
baff - 3 freq
bihaive - 1 freq
byfe - 1 freq
bab - 13 freq
baffie - 62 freq
beehive - 1 freq
buff - 15 freq
beef' - 1 freq
behauf - 17 freq
beeb' - 1 freq
bewvy - 2 freq
baabie - 21 freq
bubba - 1 freq
boaby - 5 freq
bafhe - 2 freq
baffe - 2 freq
bafhie - 2 freq
boob - 5 freq
bibby - 3 freq
bevy - 5 freq
bauf - 1 freq
baby' - 1 freq
booby - 9 freq
bobo - 9 freq
behaiv - 1 freq
baby-e - 1 freq
bebe - 3 freq
bevvie - 2 freq
bouff - 1 freq
behouf - 1 freq
'bib - 1 freq
beif - 2 freq
bappy - 27 freq
behufe - 1 freq
beep - 9 freq
'babe' - 1 freq
beve - 1 freq
beb - 1 freq
bawbee- - 2 freq
bapu - 14 freq
€œbapu - 1 freq
baw-bee - 1 freq
baef - 6 freq
boabie - 2 freq
boba - 2 freq
biffy - 1 freq
bev - 1 freq
baf - 1 freq
bebo - 1 freq
bhheypya - 1 freq
bhp - 1 freq
biffo - 2 freq
beeb - 1 freq
baif - 4 freq
bpub - 1 freq
bwv - 1 freq
befio - 1 freq
byf - 1 freq
bufw - 1 freq
bov - 1 freq
bovvy - 2 freq
MetaPhone code - BB
bob - 213 freq
bobby - 45 freq
boab - 53 freq
baby - 117 freq
babe - 11 freq
babbie - 34 freq
bobbie - 15 freq
bib - 8 freq
babby - 25 freq
bawbee - 23 freq
babie - 1 freq
boabby - 23 freq
baba - 2 freq
bab - 13 freq
beeb' - 1 freq
baabie - 21 freq
bubba - 1 freq
boaby - 5 freq
boob - 5 freq
bibby - 3 freq
baby' - 1 freq
booby - 9 freq
bobo - 9 freq
baby-e - 1 freq
bebe - 3 freq
'bib - 1 freq
'babe' - 1 freq
beb - 1 freq
bawbee- - 2 freq
baw-bee - 1 freq
boabie - 2 freq
boba - 2 freq
bebo - 1 freq
beeb - 1 freq
BOABBY
Time to execute Levenshtein function - 0.179357 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 - 0.328946 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 - 0.027559 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 - 0.036401 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 - 0.000821 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.