A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to noo-bit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
noo-bit (0) - 1 freq
noo-but (1) - 2 freq
nou-but (2) - 1 freq
noobut (2) - 1 freq
coopit (3) - 3 freq
bootit (3) - 2 freq
hookit (3) - 1 freq
nebbit (3) - 5 freq
oozit (3) - 2 freq
hole-bit (3) - 1 freq
jookit (3) - 3 freq
neebit (3) - 2 freq
foondit (3) - 41 freq
foostit (3) - 1 freq
noost (3) - 4 freq
lootit (3) - 1 freq
hoo-let (3) - 1 freq
hobbit (3) - 2 freq
doonsit (3) - 1 freq
doomit (3) - 2 freq
lookit (3) - 338 freq
nooat (3) - 1 freq
bookit (3) - 3 freq
noarbie (3) - 2 freq
nit-wit (3) - 1 freq
noo-bit (0) - 1 freq
noo-but (1) - 2 freq
nou-but (2) - 1 freq
noobut (3) - 1 freq
on-it (4) - 2 freq
-bit (4) - 1 freq
nabbit (4) - 2 freq
wee-bit (4) - 6 freq
neebit (4) - 2 freq
neibit (4) - 3 freq
nesbit (4) - 1 freq
yin-but (4) - 2 freq
nebbit (4) - 5 freq
doo-cot (5) - 1 freq
hoobeit (5) - 6 freq
gobbit (5) - 1 freq
can-but (5) - 4 freq
inhibit (5) - 2 freq
jobbit (5) - 5 freq
notit (5) - 13 freq
fobbit (5) - 1 freq
noo- (5) - 1 freq
you-yit (5) - 1 freq
sobbit (5) - 3 freq
robbit (5) - 2 freq
SoundEx code - N130
naebody - 643 freq
naebodie - 77 freq
naebdy - 93 freq
noo-bit - 1 freq
nipped - 22 freq
nippit - 43 freq
'naebody - 23 freq
nobody - 48 freq
naeb'dy - 18 freq
nou-but - 1 freq
nippt - 5 freq
nifty - 3 freq
naeboady - 25 freq
nae-baud - 1 freq
nabbit - 2 freq
nobudy - 1 freq
niftie - 1 freq
nebbed - 2 freq
naybidee - 1 freq
neep'd - 1 freq
nippet - 10 freq
naybudy - 2 freq
naybudee - 5 freq
naebidy - 14 freq
neep-heid - 2 freq
naebuddie - 26 freq
noobut - 1 freq
naeboadie - 11 freq
noo-but - 2 freq
nevet - 1 freq
nabbed - 8 freq
ïnvite - 3 freq
neibit - 3 freq
neebit - 2 freq
nipp'd - 1 freq
naebiddy - 32 freq
naebuddy - 3 freq
nebbit - 5 freq
nept - 1 freq
n'avait - 1 freq
€œnaebuddie - 1 freq
€™nappit - 1 freq
naebuddiie - 1 freq
€œnaebody - 7 freq
nobuddy - 1 freq
nab'dy - 1 freq
€œnobody - 2 freq
'naebody' - 1 freq
naebudy - 2 freq
naeboddie - 2 freq
nebdy - 1 freq
naeb'die - 1 freq
neebody - 1 freq
npd - 1 freq
naebd - 1 freq
neebouhood - 1 freq
neabdy - 1 freq
nvt - 1 freq
MetaPhone code - NBT
naebody - 643 freq
naebodie - 77 freq
naebdy - 93 freq
noo-bit - 1 freq
'naebody - 23 freq
nobody - 48 freq
naeb'dy - 18 freq
nou-but - 1 freq
naeboady - 25 freq
nae-baud - 1 freq
nabbit - 2 freq
nobudy - 1 freq
knobbit - 1 freq
nebbed - 2 freq
naybidee - 1 freq
naybudy - 2 freq
naybudee - 5 freq
naebidy - 14 freq
naebuddie - 26 freq
noobut - 1 freq
naeboadie - 11 freq
noo-but - 2 freq
nabbed - 8 freq
neibit - 3 freq
neebit - 2 freq
naebiddy - 32 freq
naebuddy - 3 freq
nebbit - 5 freq
€œnaebuddie - 1 freq
naebuddiie - 1 freq
€œnaebody - 7 freq
nobuddy - 1 freq
nab'dy - 1 freq
€œnobody - 2 freq
'naebody' - 1 freq
naebudy - 2 freq
naeboddie - 2 freq
nebdy - 1 freq
naeb'die - 1 freq
neebody - 1 freq
naebd - 1 freq
neabdy - 1 freq
NOO-BIT
Time to execute Levenshtein function - 0.177167 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 - 0.334171 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 - 0.028094 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 - 0.038955 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 - 0.000936 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.