A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to montgomerie in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
montgomerie (0) - 12 freq
montomerie (1) - 1 freq
montgomeries (1) - 2 freq
montgomery (2) - 27 freq
montgomerie's (2) - 1 freq
mongomery (3) - 1 freq
montgomery's (3) - 3 freq
mongomery's (4) - 1 freq
controversie (4) - 2 freq
katymontgomerie (4) - 1 freq
menagerie (4) - 1 freq
monitgarrie (4) - 1 freq
bonhomie (5) - 1 freq
doutsomelike (5) - 1 freq
monetarie (5) - 1 freq
mongers (5) - 1 freq
footerie (5) - 3 freq
pootherie (5) - 1 freq
lingerie (5) - 1 freq
contrairie (5) - 1 freq
trokerie (5) - 1 freq
montford (5) - 1 freq
lotterie (5) - 1 freq
invokerie (5) - 1 freq
gomeril (5) - 15 freq
montgomerie (0) - 12 freq
montgomery (2) - 27 freq
montgomeries (2) - 2 freq
montomerie (2) - 1 freq
mongomery (4) - 1 freq
montgomerie's (4) - 1 freq
montgomery's (5) - 3 freq
monitgarrie (5) - 1 freq
katymontgomerie (6) - 1 freq
menagerie (6) - 1 freq
monetarie (7) - 1 freq
mortimer (7) - 3 freq
monger (7) - 1 freq
mongomery's (7) - 1 freq
finngerie (8) - 1 freq
manager (8) - 55 freq
mysterie (8) - 3 freq
stimmerie (8) - 1 freq
mounthoolie (8) - 1 freq
donegore (8) - 3 freq
monogamy (8) - 1 freq
mongolia (8) - 1 freq
mentor (8) - 2 freq
montague (8) - 3 freq
monitor (8) - 13 freq
SoundEx code - M532
minds - 149 freq
minutes - 188 freq
meenutes - 1 freq
meenits - 244 freq
month's - 9 freq
months - 215 freq
mundie's - 1 freq
meinits - 12 freq
meinit's - 1 freq
meenit's - 14 freq
munts - 10 freq
montgomery - 27 freq
'mind''s - 1 freq
mondays - 4 freq
monmouth's - 2 freq
ments - 1 freq
mundi's - 1 freq
mindset - 7 freq
mindset's - 1 freq
mindsets - 2 freq
mynds - 14 freq
mints - 40 freq
munth's - 4 freq
meeneet's - 9 freq
meeneets - 1 freq
montgomerie - 12 freq
mind's - 14 freq
mendick - 1 freq
meenity's - 3 freq
minute's - 4 freq
mounds - 8 freq
minutes' - 1 freq
mantc - 1 freq
moonds - 5 freq
moneydig - 1 freq
meenitie's - 2 freq
minds' - 1 freq
manto's - 1 freq
mynd's - 1 freq
mauntak - 1 freq
menties - 1 freq
mends - 3 freq
mantis - 2 freq
minnits - 1 freq
montgomery's - 3 freq
monitgarrie - 1 freq
monday's - 3 freq
meenuts - 1 freq
months-lang - 1 freq
monadhs - 1 freq
meenads - 11 freq
meenad's - 2 freq
minties - 10 freq
meent-gin - 1 freq
mintie-jist - 1 freq
montgomeries - 2 freq
mounts - 1 freq
montes - 1 freq
montgomerie's - 1 freq
months' - 1 freq
mondes - 2 freq
meinutes - 2 freq
menodge - 5 freq
manawdge - 2 freq
meentes - 1 freq
monds - 8 freq
mantsje - 1 freq
mentis - 1 freq
mendacity - 1 freq
montcoffer - 1 freq
mintys - 1 freq
mammoths - 3 freq
mynts - 2 freq
monts - 5 freq
mindcontrol - 1 freq
minty’s - 2 freq
meenites - 2 freq
mindcharity - 1 freq
montague - 3 freq
munths - 1 freq
minuteswing - 1 freq
manutdkits - 1 freq
mands - 1 freq
MetaPhone code - MNTKMR
montgomery - 27 freq
montgomerie - 12 freq
MONTGOMERIE
Time to execute Levenshtein function - 0.312576 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 - 0.486105 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 - 0.030134 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 - 0.038249 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 - 0.000888 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.