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 byodnar in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
byodnar (0) - 2 freq
byornar (1) - 13 freq
byordnar (1) - 82 freq
brodgar (2) - 6 freq
byorduar (2) - 1 freq
byordhar (2) - 1 freq
by-ordnar (2) - 4 freq
byordar (2) - 1 freq
byordmar (2) - 1 freq
byordinar (2) - 79 freq
boddam (3) - 23 freq
yona (3) - 12 freq
odhar (3) - 1 freq
borna (3) - 1 freq
broona (3) - 1 freq
coodnae (3) - 52 freq
sonar (3) - 1 freq
soodna (3) - 7 freq
by-ordinar (3) - 19 freq
byordinair (3) - 2 freq
byordinary (3) - 1 freq
yonner (3) - 67 freq
coodna (3) - 71 freq
ornar (3) - 4 freq
bynear (3) - 2 freq
byodnar (0) - 2 freq
byordnar (2) - 82 freq
byornar (2) - 13 freq
byordinar (3) - 79 freq
bynear (4) - 2 freq
ordnar (4) - 114 freq
byordinary (4) - 1 freq
byordinair (4) - 2 freq
bydan (4) - 1 freq
byordmar (4) - 1 freq
byordhar (4) - 1 freq
brodgar (4) - 6 freq
by-ordnar (4) - 4 freq
byordar (4) - 1 freq
byorduar (4) - 1 freq
badder (5) - 5 freq
bonnier (5) - 24 freq
brianr (5) - 3 freq
dooner (5) - 2 freq
donor (5) - 7 freq
bydand (5) - 1 freq
bodin (5) - 1 freq
binary (5) - 4 freq
doner (5) - 2 freq
baidan (5) - 1 freq
SoundEx code - B356
boddimer - 1 freq
boddimer's - 2 freq
€œbête-noir - 1 freq
byodnar - 2 freq
btinher - 1 freq
MetaPhone code - BYTNR
byodnar - 2 freq
BYODNAR
Time to execute Levenshtein function - 0.192139 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 - 0.339435 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 - 0.027673 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 - 0.044202 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 - 0.000923 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.