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 e-mail in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
e-mail (0) - 42 freq
e-mails (1) - 6 freq
email (1) - 51 freq
e-mailin (2) - 1 freq
emsail (2) - 5 freq
emails (2) - 14 freq
gmail (2) - 1 freq
emailt (2) - 2 freq
e-mailed (2) - 1 freq
mail (2) - 54 freq
entail (2) - 3 freq
ermans (3) - 1 freq
detail (3) - 43 freq
evil (3) - 90 freq
oxtail (3) - 1 freq
blekmail (3) - 1 freq
-mile (3) - 1 freq
maol (3) - 1 freq
marl (3) - 1 freq
hummil (3) - 2 freq
emma (3) - 42 freq
emili (3) - 1 freq
eil (3) - 11 freq
ental (3) - 1 freq
nail (3) - 46 freq
e-mail (0) - 42 freq
email (2) - 51 freq
e-mails (2) - 6 freq
mail (3) - 54 freq
-mile (3) - 1 freq
gmail (3) - 1 freq
e-mailed (3) - 1 freq
e-mailin (3) - 1 freq
emili (4) - 1 freq
enml (4) - 1 freq
mal (4) - 2 freq
hamil (4) - 2 freq
aetmael (4) - 3 freq
emily (4) - 11 freq
udmal (4) - 1 freq
moil (4) - 1 freq
tamil (4) - 1 freq
kamil (4) - 1 freq
entail (4) - 3 freq
emailt (4) - 2 freq
emails (4) - 14 freq
emsail (4) - 5 freq
maol (4) - 1 freq
ormal (4) - 1 freq
mael (4) - 2 freq
SoundEx code - E540
email - 51 freq
een'll - 3 freq
e-mail - 42 freq
emily - 11 freq
een'il - 2 freq
eynhallow - 2 freq
emilio - 1 freq
emilia - 4 freq
emlaw - 1 freq
emili - 1 freq
enml - 1 freq
MetaPhone code - EML
email - 51 freq
e-mail - 42 freq
emily - 11 freq
emilio - 1 freq
emilia - 4 freq
emlaw - 1 freq
emili - 1 freq
embla - 2 freq
E-MAIL
Time to execute Levenshtein function - 0.196957 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 - 0.326694 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 - 0.027512 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 - 0.037157 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 - 0.000949 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.