A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to emailed in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
emailed (0) - 7 freq
e-mailed (1) - 1 freq
mailed (1) - 2 freq
mniled (2) - 1 freq
marled (2) - 2 freq
skailed (2) - 39 freq
maimed (2) - 2 freq
emailt (2) - 2 freq
email's (2) - 1 freq
trailed (2) - 17 freq
flailed (2) - 2 freq
retailed (2) - 1 freq
smiled (2) - 232 freq
nailed (2) - 16 freq
enabled (2) - 1 freq
detailed (2) - 15 freq
exiled (2) - 6 freq
email (2) - 50 freq
empied (2) - 3 freq
ailed (2) - 2 freq
tailed (2) - 7 freq
demained (2) - 1 freq
jailed (2) - 1 freq
emailin (2) - 1 freq
remained (2) - 17 freq
emailed (0) - 7 freq
mailed (1) - 2 freq
e-mailed (2) - 1 freq
emails (3) - 14 freq
failed (3) - 50 freq
emailin (3) - 1 freq
tailed (3) - 7 freq
ailed (3) - 2 freq
eagled (3) - 1 freq
jailed (3) - 1 freq
wailed (3) - 4 freq
mild (3) - 40 freq
moild (3) - 1 freq
muild (3) - 4 freq
railed (3) - 2 freq
sailed (3) - 32 freq
empied (3) - 3 freq
hailed (3) - 14 freq
ealled (3) - 1 freq
smiled (3) - 232 freq
marled (3) - 2 freq
email (3) - 50 freq
maimed (3) - 2 freq
emailt (3) - 2 freq
nailed (3) - 16 freq
SoundEx code - E543
emulate - 2 freq
emailaddress - 27 freq
emailt - 2 freq
e-mailed - 1 freq
emailed - 7 freq
emulating - 1 freq
emiltschepp - 1 freq
MetaPhone code - EMLT
emulate - 2 freq
emailt - 2 freq
e-mailed - 1 freq
emailed - 7 freq
EMAILED
Time to execute Levenshtein function - 0.214859 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 - 0.380665 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 - 0.027464 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 - 0.037656 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 - 0.000867 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.