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 e� in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eppy (3) - 1 freq
eyn (3) - 137 freq
exp (3) - 1 freq
eaa (3) - 1 freq
ell (3) - 1 freq
esli (3) - 3 freq
eth (3) - 8 freq
eats (3) - 29 freq
emma (3) - 42 freq
eber (3) - 3 freq
enem (3) - 2 freq
eest (3) - 24 freq
evie (3) - 8 freq
em (3) - 354 freq
echo (3) - 41 freq
evi (3) - 1 freq
eoin (3) - 9 freq
egg (3) - 95 freq
eng (3) - 10 freq
eur (3) - 1 freq
eeva (3) - 1 freq
een (3) - 2839 freq
evz (3) - 1 freq
etxu (3) - 1 freq
ehhm (3) - 1 freq
½ (5) - 1 freq
¿ (5) - 1 freq
eihd (6) - 2 freq
esso (6) - 5 freq
emus (6) - 1 freq
et (6) - 256 freq
eese (6) - 106 freq
eyed (6) - 19 freq
efrp (6) - 1 freq
easy (6) - 436 freq
erra (6) - 3 freq
eise (6) - 2 freq
ems (6) - 4 freq
elby (6) - 2 freq
eed (6) - 11 freq
eech (6) - 1 freq
exam (6) - 19 freq
emdy (6) - 4 freq
ezra (6) - 3 freq
ecy (6) - 1 freq
ecv (6) - 1 freq
ew (6) - 5 freq
eez (6) - 30 freq
efc (6) - 1 freq
ebbe (6) - 5 freq
SoundEx code - E000
eh - 1127 freq
ee - 1590 freq
e - 4627 freq
'ee - 5 freq
ee' - 4 freq
eo - 6 freq
eye - 224 freq
eh- - 1 freq
ehh - 1 freq
ey - 140 freq
'eh - 19 freq
'e - 61 freq
eaa - 1 freq
'eehh - 1 freq
ew - 5 freq
eih - 51 freq
eee - 3 freq
e'e - 19 freq
e' - 88 freq
ewe - 3 freq
eu - 126 freq
ei - 102 freq
ee-aw - 1 freq
'-e - 1 freq
ée - 1 freq
e- - 1 freq
ƒe - 1 freq
'ee' - 1 freq
þe - 4 freq
'ea' - 1 freq
''e - 1 freq
'ee-o' - 1 freq
€™e - 16 freq
€˜eh - 15 freq
ea - 4 freq
ðe - 4 freq
'ey - 1 freq
€˜e - 12 freq
€˜ee - 1 freq
ei- - 1 freq
eeeeeee - 1 freq
eeeeeeeee - 1 freq
eeeeeeeeee - 1 freq
eeeeeeee - 1 freq
€œeh - 9 freq
€œee - 1 freq
¡e - 1 freq
€™eh - 1 freq
‘e - 4 freq
eh' - 1 freq
eÂ’ - 8 freq
euy - 1 freq
“eh - 1 freq
eau - 2 freq
e'' - 1 freq
eeh - 1 freq
ewwwww - 1 freq
eea - 1 freq
ewoh - 1 freq
eew - 1 freq
eah - 1 freq
‘e’ - 1 freq
MetaPhone code - E
eh - 1127 freq
ae - 5537 freq
ee - 1590 freq
e - 4627 freq
'ee - 5 freq
ee' - 4 freq
eo - 6 freq
aea - 1 freq
eh- - 1 freq
ehh - 1 freq
ey - 140 freq
'ae - 8 freq
'eh - 19 freq
'e - 61 freq
eaa - 1 freq
'eehh - 1 freq
ew - 5 freq
eih - 51 freq
eee - 3 freq
ae' - 1 freq
e'e - 19 freq
e' - 88 freq
eu - 126 freq
ei - 102 freq
ee-aw - 1 freq
'-e - 1 freq
ée - 1 freq
e- - 1 freq
ƒe - 1 freq
'ee' - 1 freq
þe - 4 freq
'ea' - 1 freq
'ae' - 1 freq
''e - 1 freq
'ee-o' - 1 freq
€™e - 16 freq
€˜eh - 15 freq
ea - 4 freq
ðe - 4 freq
'ey - 1 freq
€˜e - 12 freq
€˜ee - 1 freq
ei- - 1 freq
€™ae - 12 freq
eeeeeee - 1 freq
eeeeeeeee - 1 freq
eeeeeeeeee - 1 freq
eeeeeeee - 1 freq
€œeh - 9 freq
€œae - 4 freq
€˜-ae - 1 freq
€˜ae - 2 freq
€œee - 1 freq
¡e - 1 freq
€™eh - 1 freq
aeaw - 1 freq
‘e - 4 freq
eh' - 1 freq
eÂ’ - 8 freq
euy - 1 freq
aey - 4 freq
“eh - 1 freq
eau - 2 freq
e'' - 1 freq
eeh - 1 freq
ewwwww - 1 freq
eea - 1 freq
ýae - 1 freq
eew - 1 freq
eah - 1 freq
‘e’ - 1 freq
E�
Time to execute Levenshtein function - 0.189907 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 - 0.417055 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 - 0.031447 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 - 0.037846 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 - 0.000843 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.