A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to voting in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
voting (0) - 27 freq
votin (1) - 45 freq
toting (1) - 1 freq
costing (2) - 1 freq
boeing (2) - 1 freq
mating (2) - 1 freq
viking (2) - 60 freq
joking (2) - 1 freq
boring (2) - 14 freq
notin (2) - 6 freq
boating (2) - 1 freq
hosing (2) - 1 freq
ootin' (2) - 1 freq
vying (2) - 1 freq
coping (2) - 2 freq
hooting (2) - 1 freq
nothing (2) - 91 freq
acting (2) - 12 freq
ootin (2) - 5 freq
poking (2) - 5 freq
touting (2) - 1 freq
biting (2) - 1 freq
jotting (2) - 6 freq
rowting (2) - 1 freq
do-ing (2) - 1 freq
voting (0) - 27 freq
toting (2) - 1 freq
votin (2) - 45 freq
booting (3) - 2 freq
vomiting (3) - 1 freq
touting (3) - 1 freq
vining (3) - 17 freq
biting (3) - 1 freq
coating (3) - 1 freq
quoting (3) - 3 freq
eating (3) - 18 freq
dating (3) - 8 freq
hooting (3) - 1 freq
ting (3) - 49 freq
acting (3) - 12 freq
boating (3) - 1 freq
sting (3) - 12 freq
rating (3) - 1 freq
viking (3) - 60 freq
vying (3) - 1 freq
mating (3) - 1 freq
outing (3) - 2 freq
sorting (4) - 2 freq
taing (4) - 10 freq
editing (4) - 3 freq
SoundEx code - V352
voting - 27 freq
votingday - 1 freq
MetaPhone code - FTNK
feeding - 10 freq
fading - 7 freq
fitting - 9 freq
voting - 27 freq
VOTING
Time to execute Levenshtein function - 0.192428 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 - 0.336476 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 - 0.028826 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 - 0.037048 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 - 0.000912 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.