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 evelynn in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
evelynn (0) - 8 freq
evelyn (1) - 1 freq
eveluin (2) - 1 freq
eelyin (2) - 1 freq
evening (3) - 75 freq
everyane (3) - 1 freq
evenin' (3) - 1 freq
everywan (3) - 13 freq
develing (3) - 1 freq
everson (3) - 3 freq
evens (3) - 1 freq
evenins (3) - 10 freq
flynn (3) - 8 freq
relyan (3) - 1 freq
everhin (3) - 1 freq
relyin (3) - 7 freq
eveneen (3) - 4 freq
everyone (3) - 85 freq
erenn (3) - 1 freq
eely (3) - 2 freq
mcglynn (3) - 2 freq
everton (3) - 3 freq
explenn (3) - 11 freq
everwan (3) - 2 freq
every- (3) - 1 freq
evelynn (0) - 8 freq
evelyn (2) - 1 freq
eveluin (3) - 1 freq
eveneen (4) - 4 freq
evolvin (4) - 1 freq
evenan (4) - 2 freq
evenin (4) - 133 freq
flynn (4) - 8 freq
lynn (4) - 1 freq
eelyin (4) - 1 freq
venn (4) - 1 freq
evinin (5) - 1 freq
revellin (5) - 3 freq
levellin (5) - 5 freq
velye (5) - 1 freq
everyeen (5) - 4 freq
alonn (5) - 1 freq
evein (5) - 3 freq
event (5) - 103 freq
airlann (5) - 20 freq
lynin (5) - 1 freq
hlnn (5) - 1 freq
ootlinn (5) - 3 freq
linn (5) - 26 freq
blinn (5) - 20 freq
SoundEx code - E145
eyeballin - 5 freq
eveluin - 1 freq
effluent - 1 freq
€˜eflin - 1 freq
evelynn - 8 freq
ebullient - 1 freq
evelyn - 1 freq
MetaPhone code - EFLN
eveluin - 1 freq
€˜eflin - 1 freq
evelynn - 8 freq
evelyn - 1 freq
EVELYNN
Time to execute Levenshtein function - 0.302896 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 - 0.533871 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 - 0.061838 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 - 0.038709 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 - 0.000814 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.