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 yaiser in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yaiser (0) - 3 freq
yaise (1) - 255 freq
yaises (1) - 18 freq
kaiser (1) - 1 freq
raiser (1) - 2 freq
yaised (1) - 238 freq
yaiser' (1) - 1 freq
yaisers (1) - 6 freq
yasee (2) - 1 freq
yuise (2) - 10 freq
danser (2) - 1 freq
uiser (2) - 5 freq
dainer (2) - 5 freq
baised (2) - 3 freq
aise (2) - 14 freq
aised (2) - 6 freq
fairer (2) - 12 freq
yaized (2) - 5 freq
maiter (2) - 71 freq
aiger (2) - 2 freq
yammer (2) - 5 freq
waiter (2) - 34 freq
caises (2) - 2 freq
maise (2) - 2 freq
maister (2) - 216 freq
yaiser (0) - 3 freq
yaisers (2) - 6 freq
aisier (2) - 12 freq
yaise (2) - 255 freq
aser (2) - 1 freq
yaiser' (2) - 1 freq
uiser (2) - 5 freq
raiser (2) - 2 freq
yaised (2) - 238 freq
yaises (2) - 18 freq
kaiser (2) - 1 freq
yesser (3) - 1 freq
anser (3) - 5 freq
saifer (3) - 3 freq
user (3) - 3 freq
yase (3) - 13 freq
yair (3) - 1 freq
yaer (3) - 1 freq
guiser (3) - 1 freq
yised (3) - 4 freq
yuised (3) - 4 freq
yais (3) - 1 freq
aises (3) - 1 freq
laser (3) - 4 freq
yaisit (3) - 4 freq
SoundEx code - Y260
'yous're - 1 freq
yous're - 2 freq
yugir - 2 freq
yaiser - 3 freq
yesser - 1 freq
yaiser' - 1 freq
MetaPhone code - YSR
'yous're - 1 freq
yous're - 2 freq
yaiser - 3 freq
yesser - 1 freq
yaiser' - 1 freq
YAISER
Time to execute Levenshtein function - 0.214827 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 - 0.370997 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 - 0.029354 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 - 0.039367 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 - 0.000946 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.