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 eteaueds in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eteaueds (0) - 1 freq
steamed (3) - 7 freq
steads (3) - 6 freq
teamed (3) - 1 freq
taeds (3) - 1 freq
taunds (3) - 1 freq
teases (3) - 6 freq
teased (3) - 6 freq
straunds (3) - 1 freq
teared (3) - 1 freq
staunds (3) - 29 freq
steamers (3) - 1 freq
eseaes (3) - 1 freq
steeds (3) - 2 freq
ttands (4) - 1 freq
avenues (4) - 5 freq
reapers (4) - 2 freq
needs (4) - 340 freq
league's (4) - 1 freq
tead (4) - 1 freq
texters (4) - 1 freq
efterwurds (4) - 1 freq
texes (4) - 3 freq
sheaves (4) - 6 freq
streaked (4) - 2 freq
eteaueds (0) - 1 freq
taeds (3) - 1 freq
teds (4) - 1 freq
steeds (4) - 2 freq
teases (4) - 6 freq
taunds (4) - 1 freq
taids (4) - 2 freq
steads (4) - 6 freq
thuds (5) - 3 freq
dauds (5) - 26 freq
leeds (5) - 9 freq
seeds (5) - 47 freq
taxes (5) - 24 freq
eetems (5) - 1 freq
etude (5) - 1 freq
tidies (5) - 2 freq
teas (5) - 3 freq
teady (5) - 1 freq
yauds (5) - 1 freq
takes (5) - 137 freq
treeds (5) - 1 freq
eelids (5) - 2 freq
steadies (5) - 1 freq
weeds (5) - 56 freq
feeds (5) - 23 freq
SoundEx code - E332
eediotically - 1 freq
eediotic - 4 freq
eediotically-muckle - 1 freq
eediotic-lookin - 1 freq
eediots - 1 freq
eedyits - 1 freq
eteaueds - 1 freq
eedyots - 1 freq
MetaPhone code - ETTS
eediots - 1 freq
eteaueds - 1 freq
ETEAUEDS
Time to execute Levenshtein function - 0.258762 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 - 0.388336 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 - 0.028147 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 - 0.037819 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 - 0.000896 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.