A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to eildit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eildit (0) - 12 freq
gildit (1) - 1 freq
beildit (1) - 4 freq
pilit (2) - 2 freq
kiltit (2) - 4 freq
heidit (2) - 60 freq
rilit (2) - 1 freq
milkit (2) - 5 freq
heilit (2) - 1 freq
hiltit (2) - 1 freq
til'it (2) - 1 freq
wiltit (2) - 1 freq
wirdit (2) - 1 freq
edit (2) - 17 freq
eikit (2) - 65 freq
eijit (2) - 1 freq
sidit (2) - 1 freq
foldit (2) - 12 freq
fillit (2) - 2 freq
eildrig (2) - 2 freq
eilder (2) - 1 freq
eildest (2) - 2 freq
beirdit (2) - 1 freq
liltit (2) - 2 freq
neidit (2) - 1 freq
eildit (0) - 12 freq
gildit (2) - 1 freq
beildit (2) - 4 freq
eildon (3) - 3 freq
endit (3) - 55 freq
laedit (3) - 1 freq
aidit (3) - 1 freq
bidit (3) - 30 freq
bieldit (3) - 5 freq
waldit (3) - 1 freq
eild (3) - 17 freq
moldit (3) - 2 freq
hidit (3) - 1 freq
eldin (3) - 3 freq
laidit (3) - 9 freq
loadit (3) - 19 freq
eilds (3) - 2 freq
widit (3) - 1 freq
neidit (3) - 1 freq
eyndit (3) - 2 freq
buildit (3) - 1 freq
yirdit (3) - 29 freq
eidiot (3) - 1 freq
ladit (3) - 2 freq
foldit (3) - 12 freq
SoundEx code - E433
eildit - 12 freq
elated - 3 freq
elted - 1 freq
elatit - 1 freq
elided - 1 freq
eilidhdouglas - 4 freq
MetaPhone code - ELTT
eildit - 12 freq
elated - 3 freq
elted - 1 freq
elatit - 1 freq
elided - 1 freq
ae-leidit - 1 freq
EILDIT
Time to execute Levenshtein function - 0.336645 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 - 0.581489 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 - 0.062377 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 - 0.039089 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 - 0.000777 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.