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 montgomery in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
montgomery (0) - 27 freq
mongomery (1) - 1 freq
montgomery's (2) - 3 freq
montgomerie (2) - 12 freq
montgomeries (3) - 2 freq
montomerie (3) - 1 freq
mongomery's (3) - 1 freq
montford (4) - 1 freq
controversy (4) - 3 freq
monger (4) - 1 freq
mongers (4) - 1 freq
mortimer (4) - 3 freq
monastery (4) - 12 freq
montgomerie's (4) - 1 freq
montrose (4) - 10 freq
montcoffer (4) - 1 freq
monogamy (4) - 1 freq
containers (5) - 2 freq
mosscovert (5) - 1 freq
motthor (5) - 2 freq
outdoory (5) - 1 freq
in-comers (5) - 1 freq
postmodern (5) - 2 freq
contender (5) - 1 freq
mint-merks (5) - 1 freq
montgomery (0) - 27 freq
montgomerie (2) - 12 freq
mongomery (2) - 1 freq
montgomeries (4) - 2 freq
montomerie (4) - 1 freq
montgomery's (4) - 3 freq
monger (6) - 1 freq
montgomerie's (6) - 1 freq
monogamy (6) - 1 freq
mongomery's (6) - 1 freq
mortimer (6) - 3 freq
monetary (7) - 1 freq
montague (7) - 3 freq
munter (7) - 1 freq
manger (7) - 11 freq
monitgarrie (7) - 1 freq
minter (7) - 1 freq
intimmer (7) - 1 freq
monitor (7) - 13 freq
montenegro (7) - 1 freq
menter (7) - 1 freq
mentler (7) - 1 freq
monastery (7) - 12 freq
minger (7) - 7 freq
manager (7) - 55 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
MONTGOMERY
Time to execute Levenshtein function - 0.187428 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 - 0.376835 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 - 0.027386 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 - 0.036957 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 - 0.000853 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.