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 gerald in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
gerald (0) - 26 freq
herald (1) - 34 freq
gerard (1) - 2 freq
haerald (2) - 1 freq
grals (2) - 1 freq
gead (2) - 2 freq
feral (2) - 6 freq
gealt (2) - 3 freq
geraff (2) - 1 freq
genral (2) - 4 freq
eraly (2) - 1 freq
gerrard (2) - 1 freq
grand (2) - 363 freq
emerald (2) - 17 freq
harald (2) - 17 freq
gerald's (2) - 2 freq
geraldine (3) - 1 freq
glaid (3) - 26 freq
gorged (3) - 2 freq
bewalt (3) - 1 freq
verbals (3) - 1 freq
eerant (3) - 2 freq
heraldin (3) - 1 freq
gerse (3) - 2 freq
werain (3) - 1 freq
gerald (0) - 26 freq
gerard (2) - 2 freq
herald (2) - 34 freq
emerald (3) - 17 freq
grand (3) - 363 freq
gurled (3) - 10 freq
grals (3) - 1 freq
harald (3) - 17 freq
haerald (3) - 1 freq
graand (4) - 4 freq
grande (4) - 1 freq
gard (4) - 4 freq
ruld (4) - 1 freq
garland (4) - 5 freq
gord (4) - 1 freq
grill (4) - 5 freq
glad (4) - 105 freq
girl' (4) - 1 freq
graned (4) - 2 freq
geared (4) - 2 freq
gurgled (4) - 3 freq
grind (4) - 26 freq
guild (4) - 11 freq
graved (4) - 1 freq
graded (4) - 3 freq
SoundEx code - G643
growled - 14 freq
growlt - 4 freq
gurled - 10 freq
growlit - 2 freq
gerald - 26 freq
gerald'li - 1 freq
gerald's - 2 freq
gurl't - 2 freq
grilled - 2 freq
geraldine - 1 freq
geraldinekell - 1 freq
MetaPhone code - JRLT
gerald - 26 freq
jorrylad - 1 freq
GERALD
Time to execute Levenshtein function - 0.194212 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 - 0.362817 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 - 0.028795 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 - 0.039501 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 - 0.000952 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.