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 vineyards in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
vineyards (0) - 3 freq
vineyard (1) - 7 freq
vineyairds (1) - 2 freq
vineyaird (2) - 9 freq
oil-yards (3) - 1 freq
vinegary (3) - 1 freq
inwards (3) - 7 freq
innards (3) - 4 freq
vinegar (3) - 18 freq
vinyaird (3) - 3 freq
inhauds (4) - 3 freq
onwards (4) - 19 freq
cornyards (4) - 1 freq
veneers (4) - 1 freq
linear (4) - 3 freq
velars (4) - 1 freq
lizards (4) - 4 freq
nyargs (4) - 1 freq
stewards (4) - 4 freq
vinny’s (4) - 1 freq
fitwards (4) - 1 freq
inward (4) - 7 freq
disregards (4) - 1 freq
minerals (4) - 4 freq
halyards (4) - 1 freq
vineyards (0) - 3 freq
vineyairds (1) - 2 freq
vineyard (2) - 7 freq
vineyaird (3) - 9 freq
vinyaird (4) - 3 freq
innards (4) - 4 freq
inwards (5) - 7 freq
veneers (5) - 1 freq
viands (5) - 3 freq
oil-yards (5) - 1 freq
inroads (5) - 4 freq
vicars (6) - 1 freq
innarts (6) - 1 freq
yards (6) - 24 freq
liners (6) - 2 freq
einar's (6) - 6 freq
an'ards (6) - 1 freq
jiners (6) - 6 freq
beards (6) - 12 freq
lanyard (6) - 1 freq
vivers (6) - 1 freq
baneyerd (6) - 1 freq
inwairds (6) - 1 freq
rewards (6) - 6 freq
miners (6) - 41 freq
SoundEx code - V563
vineyairds - 2 freq
vineyaird - 9 freq
vineyards - 3 freq
vineyard - 7 freq
vinyaird - 3 freq
MetaPhone code - FNYRTS
vineyairds - 2 freq
vineyards - 3 freq
VINEYARDS
Time to execute Levenshtein function - 0.258394 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 - 0.430352 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 - 0.037362 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 - 0.039743 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 - 0.000955 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.