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 yaisers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yaisers (0) - 6 freq
yaiser (1) - 3 freq
yaiser' (1) - 1 freq
yaises (1) - 18 freq
aises (2) - 1 freq
raises (2) - 24 freq
dailers (2) - 2 freq
maissers (2) - 1 freq
haimers (2) - 2 freq
uisers (2) - 17 freq
lasers (2) - 2 freq
faiders (2) - 1 freq
yaisless (2) - 1 freq
yaisefu (2) - 2 freq
yatters (2) - 2 freq
waiters (2) - 8 freq
yaised (2) - 238 freq
tasers (2) - 1 freq
guisers (2) - 8 freq
caises (2) - 2 freq
kaiser (2) - 1 freq
yammers (2) - 3 freq
baiters (2) - 2 freq
saasers (2) - 1 freq
jailers (2) - 1 freq
yaisers (0) - 6 freq
yaises (2) - 18 freq
uisers (2) - 17 freq
yaiser' (2) - 1 freq
yaiser (2) - 3 freq
users (3) - 7 freq
saasers (3) - 1 freq
sairs (3) - 8 freq
sayers (3) - 17 freq
osiers (3) - 1 freq
guisers (3) - 8 freq
sers (3) - 11 freq
aises (3) - 1 freq
yessers (3) - 2 freq
misers (3) - 1 freq
tasers (3) - 1 freq
lasers (3) - 2 freq
yers (4) - 20 freq
airrs (4) - 2 freq
lairs (4) - 15 freq
yaasss (4) - 1 freq
aweers (4) - 1 freq
eilers (4) - 1 freq
saies (4) - 1 freq
saucers (4) - 6 freq
SoundEx code - Y262
ycars - 1 freq
yaisers - 6 freq
yessers - 2 freq
yesargyll - 1 freq
ykrxcyiqlv - 1 freq
MetaPhone code - YSRS
yaisers - 6 freq
yessers - 2 freq
YAISERS
Time to execute Levenshtein function - 0.206614 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 - 0.336597 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 - 0.027392 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 - 0.037091 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 - 0.000956 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.