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 withouten in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
withouten (0) - 2 freq
withooten (1) - 2 freq
wi-outen (2) - 1 freq
athouten (2) - 2 freq
without (2) - 100 freq
wiouten (2) - 5 freq
shouten (3) - 2 freq
withen (3) - 5 freq
witout (3) - 2 freq
withgate (3) - 2 freq
wiooten (3) - 2 freq
'without' (3) - 1 freq
witten (3) - 1 freq
withoot (3) - 413 freq
ithout (3) - 11 freq
athooten (3) - 1 freq
thout (4) - 2 freq
nitrogen (4) - 3 freq
ritten (4) - 1 freq
fitnote (4) - 2 freq
shotten (4) - 4 freq
inhauden (4) - 2 freq
withered (4) - 7 freq
withies (4) - 1 freq
thote (4) - 4 freq
withouten (0) - 2 freq
withooten (1) - 2 freq
without (3) - 100 freq
athouten (3) - 2 freq
withoot (4) - 413 freq
athooten (4) - 1 freq
withen (4) - 5 freq
wiouten (4) - 5 freq
wi-outen (4) - 1 freq
witten (4) - 1 freq
wittin (5) - 30 freq
wetten (5) - 1 freq
within (5) - 189 freq
fithteen (5) - 2 freq
withstaun (5) - 2 freq
witherin (5) - 4 freq
whiten (5) - 1 freq
wheaten (5) - 4 freq
'without' (5) - 1 freq
withgate (5) - 2 freq
witout (5) - 2 freq
shouten (5) - 2 freq
ithout (5) - 11 freq
wiooten (5) - 2 freq
nitten (6) - 5 freq
SoundEx code - W335
withouten - 2 freq
withoot-maybe - 2 freq
withooten - 2 freq
withhaudin - 1 freq
MetaPhone code - W0TN
withouten - 2 freq
withooten - 2 freq
withhaudin - 1 freq
WITHOUTEN
Time to execute Levenshtein function - 0.215837 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 - 0.403737 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 - 0.028166 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 - 0.037010 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 - 0.000867 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.