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 utensils in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
utensils (0) - 4 freq
tonsils (2) - 2 freq
tentily (3) - 22 freq
tennis (3) - 23 freq
pencils (3) - 9 freq
sensins (3) - 1 freq
teitils (3) - 2 freq
tensely (3) - 2 freq
taenails (3) - 2 freq
tendis (3) - 1 freq
pendils (3) - 1 freq
tension (3) - 32 freq
tossils (3) - 1 freq
'tentily (3) - 1 freq
stencil (3) - 1 freq
tenses (3) - 7 freq
lentils (3) - 2 freq
tendrils (3) - 3 freq
tensions (3) - 3 freq
uneasily (3) - 4 freq
strepsils (3) - 2 freq
tensin (3) - 1 freq
dentals (4) - 1 freq
teensiest (4) - 1 freq
extensive (4) - 8 freq
utensils (0) - 4 freq
tonsils (2) - 2 freq
tenses (4) - 7 freq
tossils (4) - 1 freq
taenails (4) - 2 freq
tensely (4) - 2 freq
tensions (4) - 3 freq
coonsels (5) - 1 freq
tunnels (5) - 11 freq
tinsel (5) - 12 freq
theesels (5) - 1 freq
ainsels (5) - 1 freq
hansels (5) - 3 freq
tossels (5) - 1 freq
toonmils (5) - 1 freq
tynsale (5) - 1 freq
tonnels (5) - 1 freq
tentles (5) - 2 freq
tinsell (5) - 1 freq
ransels (5) - 1 freq
sneesls (5) - 1 freq
uneasily (5) - 4 freq
teitils (5) - 2 freq
tendis (5) - 1 freq
pendils (5) - 1 freq
SoundEx code - U352
udny's - 1 freq
utmaist - 6 freq
utensils - 4 freq
utmjnbvoti - 1 freq
udnyquine - 3 freq
utmost - 3 freq
MetaPhone code - UTNSLS
utensils - 4 freq
UTENSILS
Time to execute Levenshtein function - 0.429565 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 - 0.798232 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 - 0.083031 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 - 0.038941 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 - 0.000792 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.