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 winmill in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
winmill (0) - 1 freq
windmill (1) - 2 freq
linmill (1) - 3 freq
windmills (2) - 2 freq
wingilt (2) - 1 freq
win'll (2) - 1 freq
wine'll (2) - 1 freq
lintmill (2) - 3 freq
intill (2) - 125 freq
wincin (3) - 1 freq
intilla (3) - 1 freq
wintir (3) - 8 freq
wingies (3) - 1 freq
windie (3) - 4 freq
ashmill (3) - 3 freq
winrin (3) - 2 freq
wummily (3) - 2 freq
ainvils (3) - 1 freq
winniks (3) - 2 freq
yin'll (3) - 3 freq
mcneill (3) - 5 freq
wintit (3) - 111 freq
twin'll (3) - 1 freq
windis (3) - 2 freq
pincil (3) - 22 freq
winmill (0) - 1 freq
linmill (2) - 3 freq
windmill (2) - 2 freq
wine'll (3) - 1 freq
win'll (3) - 1 freq
lintmill (4) - 3 freq
intill (4) - 125 freq
wingilt (4) - 1 freq
windmills (4) - 2 freq
w-will (5) - 1 freq
mill (5) - 82 freq
pinball (5) - 1 freq
oneill (5) - 2 freq
windyhill (5) - 1 freq
tinsell (5) - 1 freq
wuill (5) - 1 freq
withall (5) - 1 freq
candill (5) - 1 freq
winkels (5) - 1 freq
intull (5) - 5 freq
wimble (5) - 1 freq
whill (5) - 13 freq
wi'll (5) - 33 freq
wummile (5) - 1 freq
sawmill (5) - 9 freq
SoundEx code - W540
whummlle - 1 freq
wean'll - 3 freq
whummle - 7 freq
wainly - 1 freq
whammle - 2 freq
winmill - 1 freq
wine'll - 1 freq
wheen'll - 1 freq
win'll - 1 freq
whummil - 1 freq
wummile - 1 freq
wammle - 2 freq
wummle - 1 freq
wummily - 2 freq
wan-nil - 1 freq
wenl - 1 freq
weenell - 8 freq
wnl - 1 freq
MetaPhone code - WNML
winmill - 1 freq
WINMILL
Time to execute Levenshtein function - 0.221129 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 - 0.346765 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 - 0.027827 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 - 0.040034 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 - 0.000975 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.