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 vernal in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
vernal (0) - 3 freq
verbal (1) - 28 freq
girnal (2) - 5 freq
derval (2) - 17 freq
bernam (2) - 1 freq
jurnal (2) - 1 freq
vernix (2) - 1 freq
aerial (2) - 5 freq
werna (2) - 13 freq
herbal (2) - 5 freq
wernae (2) - 13 freq
ferfal (2) - 8 freq
verball (2) - 1 freq
verray (2) - 1 freq
serial (2) - 3 freq
veal (2) - 2 freq
feral (2) - 5 freq
fergal (2) - 1 freq
yernan (2) - 1 freq
cereal (2) - 15 freq
vernon (2) - 1 freq
kernel (2) - 1 freq
verra (2) - 434 freq
eternal (2) - 25 freq
governal (2) - 3 freq
vernal (0) - 3 freq
verbal (2) - 28 freq
vennel (3) - 16 freq
eternal (3) - 25 freq
viral (3) - 3 freq
kernel (3) - 1 freq
vernix (3) - 1 freq
vernon (3) - 1 freq
vernear (3) - 8 freq
governal (3) - 3 freq
jurnal (3) - 1 freq
girnal (3) - 5 freq
verily (4) - 2 freq
veranda (4) - 5 freq
vinyl (4) - 1 freq
curnel (4) - 1 freq
diurnal (4) - 1 freq
varyan (4) - 1 freq
virgil (4) - 1 freq
verneer (4) - 5 freq
varl (4) - 1 freq
averill (4) - 1 freq
virginal (4) - 2 freq
veroli (4) - 5 freq
vairdal (4) - 2 freq
SoundEx code - V654
vermillion - 1 freq
vernal - 3 freq
MetaPhone code - FRNL
freenly - 22 freq
vernal - 3 freq
fernlie - 1 freq
frienly - 5 freq
freinlie - 5 freq
fernielea - 1 freq
freenlie - 2 freq
freinly - 3 freq
VERNAL
Time to execute Levenshtein function - 0.200727 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 - 0.339896 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 - 0.027247 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 - 0.039258 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 - 0.000864 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.