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 elbow in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
elbow (0) - 20 freq
elbows (1) - 8 freq
eliot (2) - 1 freq
abow (2) - 1 freq
elbowin (2) - 4 freq
elbba (2) - 1 freq
slow (2) - 153 freq
elbas (2) - 9 freq
elbuk (2) - 1 freq
flow (2) - 32 freq
elba (2) - 15 freq
elbower (2) - 1 freq
laow (2) - 1 freq
abbow (2) - 1 freq
elbae (2) - 12 freq
enyow (2) - 2 freq
mellow (2) - 4 freq
elroy (2) - 2 freq
blow (2) - 51 freq
fellow (2) - 33 freq
eenow (2) - 1 freq
allow (2) - 36 freq
lbw (2) - 1 freq
bellow (2) - 3 freq
yellow (2) - 39 freq
elbow (0) - 20 freq
elbows (2) - 8 freq
lbw (2) - 1 freq
yellow (3) - 39 freq
elbae (3) - 12 freq
elw (3) - 1 freq
allow (3) - 36 freq
elby (3) - 2 freq
elabwu (3) - 1 freq
bow (3) - 74 freq
abbow (3) - 1 freq
alow (3) - 46 freq
low (3) - 214 freq
elbuk (3) - 1 freq
elbowin (3) - 4 freq
elba (3) - 15 freq
laow (3) - 1 freq
abow (3) - 1 freq
elbower (3) - 1 freq
elbas (3) - 9 freq
elbba (3) - 1 freq
bw (4) - 3 freq
alowe (4) - 13 freq
lowe (4) - 112 freq
baw (4) - 132 freq
SoundEx code - E410
elba - 15 freq
elbow - 20 freq
elbae - 12 freq
elby - 2 freq
elphe - 1 freq
elf - 10 freq
eelive - 1 freq
elph - 1 freq
elbba - 1 freq
elabwu - 1 freq
MetaPhone code - ELB
elba - 15 freq
elbow - 20 freq
elbae - 12 freq
elby - 2 freq
elbba - 1 freq
ELBOW
Time to execute Levenshtein function - 0.225940 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 - 0.451907 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 - 0.036742 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 - 0.049005 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 - 0.000929 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.