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 mclennan in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mclennan (0) - 10 freq
mclean (2) - 13 freq
mckenna (2) - 12 freq
mclellan (2) - 15 freq
cleanan (2) - 2 freq
lenna (3) - 1 freq
menna (3) - 3 freq
mcewan (3) - 2 freq
glentan (3) - 1 freq
'brennan (3) - 1 freq
mennin (3) - 3 freq
kmckenna (3) - 22 freq
'clean (3) - 2 freq
clingan (3) - 2 freq
lennon (3) - 10 freq
mackenna (3) - 1 freq
clankan (3) - 1 freq
leanan (3) - 4 freq
brennan (3) - 15 freq
meanan (3) - 12 freq
scannan (3) - 1 freq
clearan (3) - 2 freq
cleanin (3) - 48 freq
clean (3) - 349 freq
spennan (3) - 1 freq
mclennan (0) - 10 freq
cleanan (4) - 2 freq
mclellan (4) - 15 freq
mckinnon (4) - 1 freq
mclean (4) - 13 freq
mckenna (4) - 12 freq
maclean (5) - 15 freq
plannan (5) - 2 freq
scannan (5) - 1 freq
cleanin (5) - 48 freq
lennin (5) - 2 freq
plennin (5) - 11 freq
macinnon (5) - 1 freq
mackinnon (5) - 6 freq
ruamaclennan (5) - 1 freq
clankan (5) - 1 freq
clangan (5) - 1 freq
clingan (5) - 2 freq
lennon (5) - 10 freq
mackenna (5) - 1 freq
mennin (5) - 3 freq
cannon (6) - 13 freq
minenin (6) - 2 freq
scrannin (6) - 6 freq
flannin (6) - 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
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
mcglinty - 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
muslims - 2 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 - MKLNN
mclennan - 10 freq
MCLENNAN
Time to execute Levenshtein function - 0.214240 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 - 0.397313 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 - 0.031359 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 - 0.041781 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 - 0.000917 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.