A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to yond in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yond (0) - 1 freq
mond (1) - 4 freq
yon (1) - 1555 freq
bond (1) - 16 freq
gond (1) - 1 freq
yone (1) - 7 freq
fond (1) - 100 freq
yons (1) - 6 freq
yont (1) - 14 freq
pond (1) - 50 freq
hond (1) - 3 freq
yonf (1) - 1 freq
yon' (1) - 2 freq
ond (1) - 1 freq
youd (1) - 4 freq
yona (1) - 12 freq
lood (2) - 153 freq
mone (2) - 15 freq
yoal (2) - 1 freq
emond (2) - 1 freq
wona (2) - 1 freq
ono (2) - 3 freq
ony (2) - 2214 freq
mnd (2) - 1 freq
rone (2) - 2 freq
yond (0) - 1 freq
ond (1) - 1 freq
eind (2) - 1 freq
and (2) - 24890 freq
eynd (2) - 1 freq
nod (2) - 107 freq
yyned (2) - 2 freq
aund (2) - 2 freq
aand (2) - 1 freq
end (2) - 1198 freq
und (2) - 12 freq
iand (2) - 1 freq
nd (2) - 88 freq
noad (2) - 11 freq
yona (2) - 12 freq
aind (2) - 1 freq
yone (2) - 7 freq
fond (2) - 100 freq
gond (2) - 1 freq
bond (2) - 16 freq
mond (2) - 4 freq
yon (2) - 1555 freq
yons (2) - 6 freq
yont (2) - 14 freq
youd (2) - 4 freq
SoundEx code - Y530
yawned - 15 freq
yaaned - 4 freq
yont - 14 freq
yin-eyed - 1 freq
yyned - 2 freq
ymd - 2 freq
yond - 1 freq
yoamed - 4 freq
yent - 1 freq
yinday - 1 freq
ymit - 1 freq
MetaPhone code - YNT
yawned - 15 freq
yaaned - 4 freq
yont - 14 freq
yond - 1 freq
yent - 1 freq
yinday - 1 freq
YOND
Time to execute Levenshtein function - 0.235432 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 - 0.406919 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 - 0.030528 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 - 0.049605 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 - 0.001014 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.