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 oul-man in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
oul-man (0) - 1 freq
aul-man (1) - 4 freq
bull-man (2) - 1 freq
wum-man (2) - 1 freq
oilman (2) - 1 freq
dug-man (2) - 2 freq
bukeman (3) - 1 freq
wan-man (3) - 1 freq
o-an (3) - 1 freq
bulwan (3) - 2 freq
out-cam (3) - 1 freq
he-man (3) - 1 freq
moon-man (3) - 1 freq
out-waw (3) - 1 freq
juryman (3) - 1 freq
holl-an (3) - 1 freq
wuamman (3) - 2 freq
yin-man (3) - 2 freq
pullan (3) - 6 freq
umman (3) - 15 freq
guidman (3) - 54 freq
ten-man (3) - 1 freq
orraman (3) - 3 freq
wutnman (3) - 1 freq
oman (3) - 2 freq
oul-man (0) - 1 freq
aul-man (1) - 4 freq
oilman (3) - 1 freq
oilmen (4) - 1 freq
no-man (4) - 2 freq
he-man (4) - 1 freq
yoleman (4) - 1 freq
leman (4) - 3 freq
bull-man (4) - 1 freq
wum-man (4) - 1 freq
dug-man (4) - 2 freq
yin-man (4) - 2 freq
louman (4) - 1 freq
usman (5) - 1 freq
ulan (5) - 1 freq
cumman (5) - 11 freq
coalman (5) - 1 freq
ell-wan (5) - 1 freq
dug-men (5) - 4 freq
pac-man (5) - 1 freq
soul-mate (5) - 1 freq
ony-ean (5) - 7 freq
collman (5) - 1 freq
cuman (5) - 2 freq
wumman (5) - 588 freq
SoundEx code - O455
oilman - 1 freq
oilmen - 1 freq
oul-man - 1 freq
olomanský - 1 freq
ollyemanuel - 9 freq
MetaPhone code - OLMN
oilman - 1 freq
oilmen - 1 freq
oul-man - 1 freq
OUL-MAN
Time to execute Levenshtein function - 0.580817 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 - 0.928372 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 - 0.087311 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 - 0.093626 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 - 0.000829 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.