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 gimlet in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
gimlet (0) - 1 freq
gimlets (1) - 1 freq
billet (2) - 1 freq
gibblet (2) - 1 freq
bilet (2) - 3 freq
inlet (2) - 1 freq
giblets (2) - 1 freq
titlet (2) - 1 freq
limpet (2) - 5 freq
pilet (2) - 1 freq
gibbet (2) - 5 freq
gullet (2) - 5 freq
jillet (2) - 2 freq
filet (2) - 2 freq
simmet (2) - 3 freq
pielet (2) - 2 freq
gimme (2) - 4 freq
hamlet (2) - 10 freq
fillet (2) - 7 freq
gimmer (2) - 2 freq
giglets (2) - 1 freq
giles (2) - 9 freq
goblet (2) - 1 freq
gilt (2) - 2 freq
violet (2) - 316 freq
gimlet (0) - 1 freq
gimlets (2) - 1 freq
goblet (3) - 1 freq
gilt (3) - 2 freq
hamlet (3) - 10 freq
gullet (3) - 5 freq
gymkit (4) - 1 freq
guelt (4) - 1 freq
giltee (4) - 2 freq
smilet (4) - 19 freq
jumlit (4) - 2 freq
gumlier (4) - 1 freq
glit (4) - 1 freq
gamut (4) - 1 freq
gemmelt (4) - 1 freq
gelt (4) - 1 freq
glt (4) - 1 freq
gullt (4) - 1 freq
gealt (4) - 3 freq
glut (4) - 5 freq
gemiler (4) - 3 freq
galt (4) - 6 freq
eaglet (4) - 14 freq
geelit (4) - 1 freq
geeglet (4) - 1 freq
SoundEx code - G543
gimlets - 1 freq
gemmelt - 1 freq
gunnel-deep - 1 freq
gammeldans - 1 freq
gimlet - 1 freq
MetaPhone code - JMLT
jumblt - 1 freq
jumbelt - 1 freq
gemmelt - 1 freq
jumbled - 2 freq
jumlit - 2 freq
jummled - 1 freq
gimlet - 1 freq
GIMLET
Time to execute Levenshtein function - 0.304409 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 - 0.589666 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 - 0.027400 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 - 0.070137 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 - 0.000846 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.