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 yawmerin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yawmerin (0) - 1 freq
yammerin (1) - 7 freq
dammerin (2) - 1 freq
haimerin (2) - 1 freq
hammerin (2) - 18 freq
yatterin (2) - 4 freq
yammering (2) - 1 freq
yammerin' (2) - 3 freq
patterin (3) - 6 freq
alterin (3) - 2 freq
matterin (3) - 1 freq
layerin (3) - 1 freq
saberin (3) - 1 freq
yammert (3) - 1 freq
haverin (3) - 25 freq
lowderin (3) - 1 freq
daunerin (3) - 30 freq
staumerin (3) - 1 freq
waunerin (3) - 4 freq
gatherin (3) - 9 freq
yawin (3) - 1 freq
balmerino (3) - 1 freq
timmerin (3) - 4 freq
cowerin (3) - 5 freq
simmerin (3) - 7 freq
yawmerin (0) - 1 freq
yammerin (2) - 7 freq
haimerin (3) - 1 freq
waterin (4) - 7 freq
almeron (4) - 1 freq
cameron (4) - 127 freq
admirin (4) - 22 freq
waverin (4) - 1 freq
wierin (4) - 4 freq
waunerin (4) - 4 freq
weerin (4) - 67 freq
admeirin (4) - 1 freq
yammering (4) - 1 freq
yammerin' (4) - 3 freq
yatterin (4) - 4 freq
hammerin (4) - 18 freq
dammerin (4) - 1 freq
lowerin (5) - 12 freq
powderin (5) - 1 freq
howderin (5) - 3 freq
oarderin (5) - 3 freq
caperin (5) - 3 freq
waveran (5) - 1 freq
taperin (5) - 1 freq
oafferin (5) - 1 freq
SoundEx code - Y565
yammer-weemin - 1 freq
yawmerin - 1 freq
yammerin - 7 freq
yammerin' - 3 freq
yammering - 1 freq
MetaPhone code - YMRN
yawmerin - 1 freq
yammerin - 7 freq
yammerin' - 3 freq
YAWMERIN
Time to execute Levenshtein function - 0.590953 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 - 1.216129 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 - 0.090594 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 - 0.098274 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 - 0.001145 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.