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 veshels in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
veshels (0) - 2 freq
vessels (1) - 6 freq
veshel (1) - 1 freq
vessel (2) - 7 freq
vennels (2) - 12 freq
feshes (2) - 1 freq
bushels (2) - 1 freq
feshers (2) - 1 freq
eshes (2) - 6 freq
benshees (3) - 2 freq
coshes (3) - 1 freq
venues (3) - 19 freq
jeels (3) - 3 freq
bennels (3) - 1 freq
eeses (3) - 1 freq
pushes (3) - 8 freq
weeshes (3) - 1 freq
sequels (3) - 2 freq
hessel (3) - 9 freq
'esel' (3) - 2 freq
penels (3) - 7 freq
bevels (3) - 1 freq
gushes (3) - 5 freq
jewels (3) - 20 freq
neshed (3) - 1 freq
veshels (0) - 2 freq
veshel (2) - 1 freq
vessels (2) - 6 freq
bushels (3) - 1 freq
reishils (4) - 1 freq
shiels (4) - 4 freq
vassals (4) - 2 freq
eshes (4) - 6 freq
vessel (4) - 7 freq
vennels (4) - 12 freq
feshes (4) - 1 freq
feshers (4) - 1 freq
washes (5) - 10 freq
ashets (5) - 14 freq
washers (5) - 1 freq
bushes (5) - 41 freq
nashers (5) - 2 freq
mesha's (5) - 1 freq
shelfs (5) - 8 freq
bushel (5) - 5 freq
sheds (5) - 13 freq
shews (5) - 5 freq
bashes (5) - 1 freq
dyshes (5) - 1 freq
vessil (5) - 1 freq
SoundEx code - V242
vehicles - 14 freq
visualise - 1 freq
vigils - 1 freq
vocalized - 1 freq
veshels - 2 freq
vessels - 6 freq
voiceless - 19 freq
vassals - 2 freq
visualises - 1 freq
vyaachles - 1 freq
vocalism - 1 freq
MetaPhone code - FXLS
facials - 2 freq
veshels - 2 freq
VESHELS
Time to execute Levenshtein function - 0.261448 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 - 0.564494 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 - 0.036114 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 - 0.042012 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 - 0.000879 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.