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 yin-but in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yin-but (0) - 2 freq
can-but (2) - 4 freq
wan-but (2) - 1 freq
yin-act (2) - 2 freq
is-but (2) - 1 freq
us-but (3) - 1 freq
in-built (3) - 1 freq
-but (3) - 2 freq
nou-but (3) - 1 freq
yingest (3) - 2 freq
minibus (3) - 13 freq
input (3) - 4 freq
yingist (3) - 1 freq
aa-but (3) - 1 freq
noo-but (3) - 2 freq
--but (3) - 1 freq
big-buy (3) - 1 freq
yinst (3) - 77 freq
yin-man (3) - 2 freq
in-bye (3) - 1 freq
in-box (3) - 1 freq
yin-aff (3) - 1 freq
'b-but (3) - 1 freq
'-but (3) - 1 freq
b-but (3) - 3 freq
yin-but (0) - 2 freq
nou-but (3) - 1 freq
noo-but (3) - 2 freq
is-but (3) - 1 freq
can-but (3) - 4 freq
wan-but (3) - 1 freq
yin-act (3) - 2 freq
in-bye (4) - 1 freq
--but (4) - 1 freq
in-box (4) - 1 freq
noo-bit (4) - 1 freq
in-aboot (4) - 1 freq
'-but (4) - 1 freq
b-but (4) - 3 freq
us-but (4) - 1 freq
aa-but (4) - 1 freq
-but (4) - 2 freq
in-built (4) - 1 freq
wee-bit (5) - 6 freq
een-at (5) - 1 freq
-bit (5) - 1 freq
inaboot (5) - 35 freq
nisbet (5) - 26 freq
inhibit (5) - 2 freq
inhabit (5) - 3 freq
SoundEx code - Y513
yin-but - 2 freq
ympteen - 1 freq
MetaPhone code - YNBT
yin-but - 2 freq
YIN-BUT
Time to execute Levenshtein function - 0.377607 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 - 0.459835 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 - 0.027308 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 - 0.037468 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 - 0.000880 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.