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 yairn in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yairn (0) - 32 freq
airn (1) - 50 freq
yairns (1) - 14 freq
yirn (1) - 3 freq
gairn (1) - 1 freq
yaird (1) - 88 freq
'yairn (1) - 1 freq
yarn (1) - 49 freq
yair (1) - 1 freq
lairn (1) - 133 freq
kairn (1) - 1 freq
cairn (1) - 43 freq
bairn (1) - 785 freq
wairn (1) - 2 freq
nairn (1) - 6 freq
jain (2) - 1 freq
hair (2) - 867 freq
gain (2) - 53 freq
ayrn (2) - 1 freq
bain (2) - 77 freq
gair (2) - 3 freq
ymir (2) - 3 freq
baarn (2) - 1 freq
wairm (2) - 46 freq
fairin (2) - 13 freq
yairn (0) - 32 freq
yarn (1) - 49 freq
yirn (1) - 3 freq
airn (1) - 50 freq
ayrn (2) - 1 freq
earn (2) - 41 freq
rain (2) - 672 freq
yearn (2) - 1 freq
airon (2) - 1 freq
irn (2) - 35 freq
nairn (2) - 6 freq
airin (2) - 4 freq
wairn (2) - 2 freq
'yairn (2) - 1 freq
yaird (2) - 88 freq
gairn (2) - 1 freq
yairns (2) - 14 freq
yair (2) - 1 freq
bairn (2) - 785 freq
cairn (2) - 43 freq
kairn (2) - 1 freq
lairn (2) - 133 freq
rairin (3) - 22 freq
wain (3) - 15 freq
kirn (3) - 33 freq
SoundEx code - Y650
yairn - 32 freq
yarn - 49 freq
yearn - 1 freq
year-en - 1 freq
year-roon - 1 freq
yirn - 3 freq
'yairn - 1 freq
MetaPhone code - YRN
yairn - 32 freq
yarn - 49 freq
yearn - 1 freq
year-en - 1 freq
yirn - 3 freq
'yairn - 1 freq
YAIRN
Time to execute Levenshtein function - 0.193899 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 - 0.337546 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 - 0.027523 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 - 0.036791 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 - 0.000848 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.