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 mooslim in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mooslim (0) - 1 freq
tooslie (2) - 1 freq
muslim (2) - 9 freq
moonlit (2) - 5 freq
moosie (2) - 45 freq
moo'll (3) - 1 freq
googlin (3) - 7 freq
roostin (3) - 5 freq
booglie (3) - 1 freq
poolin (3) - 2 freq
moosh (3) - 2 freq
mosie (3) - 1 freq
moorie (3) - 5 freq
toosled (3) - 2 freq
hoosin (3) - 19 freq
jooglin (3) - 10 freq
rooskie (3) - 1 freq
slim (3) - 17 freq
hooseie (3) - 1 freq
pooskin (3) - 1 freq
tooslet (3) - 1 freq
moysie (3) - 1 freq
yoosin (3) - 1 freq
sooklin (3) - 1 freq
hooshin (3) - 1 freq
mooslim (0) - 1 freq
muslim (2) - 9 freq
maislie (4) - 1 freq
slim (4) - 17 freq
couslem (4) - 1 freq
muslin (4) - 2 freq
muslims (4) - 3 freq
moosie (4) - 45 freq
tooslie (4) - 1 freq
moonlit (4) - 5 freq
musles (5) - 1 freq
moulin (5) - 1 freq
mollie (5) - 16 freq
mousie (5) - 3 freq
mosaic (5) - 5 freq
mosely (5) - 2 freq
moosies (5) - 22 freq
moose-o (5) - 5 freq
moosey (5) - 2 freq
muisaem (5) - 1 freq
slime (5) - 6 freq
misled (5) - 3 freq
mausoleum (5) - 4 freq
moshin (5) - 1 freq
moosy (5) - 1 freq
SoundEx code - M245
maclean - 15 freq
masel-na - 1 freq
mcclymont - 3 freq
mcclymont''s - 2 freq
mizzlin - 2 freq
mauchline - 4 freq
masculine - 3 freq
michelin - 4 freq
magglin - 1 freq
mcwilliam - 2 freq
mcwilliam's - 1 freq
mauchlin - 13 freq
mcclung - 2 freq
mccallum - 10 freq
mccallum's - 1 freq
mausoleum - 4 freq
mjollnir - 4 freq
maclean's - 4 freq
muslims - 3 freq
mcglinty - 3 freq
mclean's - 1 freq
michaelangelo - 1 freq
muslim - 9 freq
mooslim - 1 freq
megalomaniacs - 2 freq
maclintyre-kemp - 1 freq
maclintock - 1 freq
muckleness - 4 freq
mclean - 13 freq
magellanics - 1 freq
michelangelo - 2 freq
macleans - 1 freq
makalienski - 1 freq
michaelmas - 7 freq
mossland - 1 freq
muslin - 2 freq
mashlum-bannocks - 1 freq
mashlum-bannock - 1 freq
maclntoshes - 1 freq
miscellany - 1 freq
maccallum - 2 freq
micklemast - 1 freq
mcglynn - 2 freq
macallan - 3 freq
michaelmes - 1 freq
muckle-maist - 1 freq
miscellaneous - 1 freq
mclennan - 10 freq
mcallum - 1 freq
masculinity - 1 freq
mcaloon - 2 freq
macaloon - 1 freq
muscleman - 1 freq
miscellanies - 1 freq
macglinchy - 2 freq
macglinchies - 1 freq
maclunkey - 1 freq
michellemul - 1 freq
michellemaclen - 1 freq
michealmartintd - 1 freq
m'quillan's - 1 freq
maclambda - 1 freq
michaelmonan - 1 freq
mccollum - 1 freq
michellemone - 2 freq
msjlindsay - 2 freq
macaulayandco - 1 freq
michellemguckin - 1 freq
michaelomeara - 1 freq
mccallion - 1 freq
mclean’s - 1 freq
msccollins - 1 freq
macghilleand - 2 freq
michaelinverhoe - 1 freq
MetaPhone code - MSLM
mausoleum - 4 freq
muslim - 9 freq
mooslim - 1 freq
MOOSLIM
Time to execute Levenshtein function - 0.278219 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 - 0.546558 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 - 0.038689 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 - 0.054798 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 - 0.001196 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.