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 mailr in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mailr (0) - 1 freq
mails (1) - 3 freq
mail (1) - 54 freq
maiur (1) - 1 freq
mair (1) - 6172 freq
failt (2) - 7 freq
maner (2) - 4 freq
nair (2) - 2 freq
matlo (2) - 1 freq
nails (2) - 80 freq
email (2) - 51 freq
dair (2) - 11 freq
maiter (2) - 71 freq
jail (2) - 49 freq
matur (2) - 1 freq
milk (2) - 244 freq
air (2) - 1001 freq
mail't (2) - 1 freq
haill (2) - 411 freq
bail (2) - 14 freq
maide (2) - 46 freq
emails (2) - 14 freq
yaila (2) - 1 freq
mal (2) - 2 freq
manly (2) - 7 freq
mailr (0) - 1 freq
malir (2) - 1 freq
maiur (2) - 1 freq
mair (2) - 6172 freq
mails (2) - 3 freq
mail (2) - 54 freq
maol (3) - 1 freq
mirr (3) - 3 freq
mily (3) - 2 freq
dailer (3) - 1 freq
sailor (3) - 20 freq
muild (3) - 4 freq
muir (3) - 77 freq
milo (3) - 1 freq
tailor (3) - 28 freq
manor (3) - 4 freq
mael (3) - 2 freq
mayor (3) - 3 freq
matr (3) - 7 freq
malt (3) - 19 freq
lair (3) - 58 freq
mir (3) - 5 freq
emailt (3) - 2 freq
mar (3) - 16 freq
mailers (3) - 1 freq
SoundEx code - M460
mailr - 1 freq
miller - 56 freq
malaria - 3 freq
molière - 22 freq
millar - 11 freq
milroy - 3 freq
malir - 1 freq
meeler - 1 freq
melro - 1 freq
MetaPhone code - MLR
mailr - 1 freq
miller - 56 freq
malaria - 3 freq
molière - 22 freq
millar - 11 freq
milroy - 3 freq
malir - 1 freq
meeler - 1 freq
melro - 1 freq
MAILR
Time to execute Levenshtein function - 0.215483 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 - 0.339255 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 - 0.031682 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 - 0.037739 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 - 0.001018 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.