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 woman in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
woman (0) - 100 freq
wyman (1) - 1 freq
wogan (1) - 1 freq
womans (1) - 5 freq
wuman (1) - 40 freq
weman (1) - 1 freq
oman (1) - 2 freq
womman (1) - 1 freq
women (1) - 77 freq
worman (1) - 1 freq
roman (1) - 76 freq
coman (1) - 41 freq
wimin (2) - 1 freq
so-an (2) - 2 freq
wona (2) - 1 freq
warman (2) - 2 freq
wumman (2) - 588 freq
wooaa (2) - 4 freq
coman' (2) - 1 freq
jonan (2) - 2 freq
hoban (2) - 5 freq
tman (2) - 1 freq
dosan (2) - 1 freq
doan (2) - 9 freq
'coman (2) - 1 freq
woman (0) - 100 freq
women (1) - 77 freq
wuman (1) - 40 freq
weman (1) - 1 freq
wyman (1) - 1 freq
weeman (2) - 9 freq
wumen (2) - 7 freq
wemen (2) - 16 freq
weiman (2) - 1 freq
wimen (2) - 1 freq
wumin (2) - 5 freq
wimin (2) - 1 freq
coman (2) - 41 freq
womman (2) - 1 freq
oman (2) - 2 freq
womans (2) - 5 freq
wogan (2) - 1 freq
roman (2) - 76 freq
worman (2) - 1 freq
booman (3) - 2 freq
whan (3) - 2757 freq
womanly (3) - 2 freq
comin (3) - 1066 freq
somane (3) - 1 freq
omen (3) - 5 freq
SoundEx code - W550
wimmen - 39 freq
woman - 100 freq
wumman - 588 freq
weemin - 178 freq
wunnin - 10 freq
winnin - 90 freq
wummin - 233 freq
wuman - 40 freq
women - 77 freq
wemen - 16 freq
whinin - 8 freq
winnen - 1 freq
weimen - 12 freq
weemen - 176 freq
wanin - 2 freq
winnowin - 3 freq
wumann - 1 freq
wemeen - 1 freq
wummen - 36 freq
wumen - 7 freq
wamman - 1 freq
weemen' - 1 freq
wimmin - 31 freq
wumman' - 3 freq
wummin' - 1 freq
weeman - 9 freq
wuamman - 2 freq
wanun - 1 freq
weiman - 1 freq
womman - 1 freq
wan-man - 1 freq
weman - 1 freq
winnan - 1 freq
weimun - 1 freq
weimin - 1 freq
'woman' - 1 freq
whinneyin - 1 freq
wiemen - 1 freq
wyman - 1 freq
waamin - 1 freq
wumin - 5 freq
€œweemen - 2 freq
wum-man - 1 freq
wummim - 1 freq
wimen - 1 freq
wimin - 1 freq
‘women - 3 freq
women' - 1 freq
weewummin - 1 freq
MetaPhone code - WMN
wimmen - 39 freq
woman - 100 freq
wumman - 588 freq
weemin - 178 freq
wummin - 233 freq
wuman - 40 freq
women - 77 freq
wemen - 16 freq
weimen - 12 freq
weemen - 176 freq
wumann - 1 freq
wemeen - 1 freq
wummen - 36 freq
wumen - 7 freq
wamman - 1 freq
weemen' - 1 freq
wimmin - 31 freq
wumman' - 3 freq
wummin' - 1 freq
weeman - 9 freq
wuamman - 2 freq
weiman - 1 freq
womman - 1 freq
weman - 1 freq
weimun - 1 freq
weimin - 1 freq
'woman' - 1 freq
wiemen - 1 freq
waamin - 1 freq
wumin - 5 freq
€œweemen - 2 freq
wimen - 1 freq
wimin - 1 freq
‘women - 3 freq
women' - 1 freq
WOMAN
wumman - 588 freq
woman - 100 freq
women - 77 freq
dug-wumman - 7 freq
wumman's - 28 freq
wuman - 40 freq
wummans - freq
wummin - 233 freq
wummin's - 10 freq
wummin-bodie - 4 freq
wummen - 36 freq
wumin - 5 freq
Time to execute Levenshtein function - 0.187492 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 - 0.368139 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 - 0.028214 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 - 0.037201 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 - 0.001072 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.