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 emailt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
emailt (0) - 2 freq
email (1) - 51 freq
emails (1) - 14 freq
ettilt (2) - 25 freq
hailt (2) - 6 freq
emsail (2) - 5 freq
mail (2) - 54 freq
amaist (2) - 24 freq
emily (2) - 11 freq
emili (2) - 1 freq
skailt (2) - 32 freq
mail't (2) - 1 freq
mails (2) - 3 freq
mairt (2) - 5 freq
e-mails (2) - 6 freq
gmail (2) - 1 freq
smaill (2) - 1 freq
bailt (2) - 1 freq
mailr (2) - 1 freq
emailed (2) - 7 freq
'maist (2) - 5 freq
railt (2) - 1 freq
marlt (2) - 2 freq
remaint (2) - 1 freq
email's (2) - 1 freq
emailt (0) - 2 freq
emails (2) - 14 freq
malt (2) - 19 freq
email (2) - 51 freq
emit (3) - 4 freq
smilt (3) - 1 freq
emailin (3) - 1 freq
sailt (3) - 2 freq
mait (3) - 84 freq
marlt (3) - 2 freq
failt (3) - 7 freq
malti (3) - 1 freq
malty (3) - 6 freq
malta (3) - 2 freq
ecaalt (3) - 1 freq
dailt (3) - 1 freq
railt (3) - 1 freq
nailt (3) - 2 freq
maist (3) - 1959 freq
ailt (3) - 3 freq
mail't (3) - 1 freq
mails (3) - 3 freq
mailoot (3) - 3 freq
melt (3) - 41 freq
emili (3) - 1 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
EMAILT
Time to execute Levenshtein function - 0.878205 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 - 1.998877 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 - 0.185984 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 - 0.117770 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 - 0.001113 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.