A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to verb in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
verb (0) - 129 freq
vera (1) - 29 freq
vers (1) - 1 freq
herb (1) - 2 freq
yerb (1) - 1 freq
kerb (1) - 6 freq
verk (1) - 2 freq
verb' (1) - 1 freq
verbs (1) - 98 freq
ver (1) - 3 freq
vert (1) - 1 freq
very (1) - 683 freq
verm (1) - 1 freq
every (2) - 799 freq
derd (2) - 1 freq
germ (2) - 3 freq
ceri (2) - 1 freq
yerbs (2) - 2 freq
derk (2) - 99 freq
werc (2) - 1 freq
virr (2) - 55 freq
per (2) - 63 freq
varl (2) - 1 freq
ter (2) - 6 freq
gers (2) - 8 freq
verb (0) - 129 freq
verbs (2) - 98 freq
ver (2) - 3 freq
very (2) - 683 freq
verb' (2) - 1 freq
vert (2) - 1 freq
verm (2) - 1 freq
vera (2) - 29 freq
verk (2) - 2 freq
herb (2) - 2 freq
vers (2) - 1 freq
kerb (2) - 6 freq
yerb (2) - 1 freq
verve (3) - 2 freq
adverb (3) - 3 freq
vb (3) - 1 freq
verge (3) - 9 freq
rb (3) - 8 freq
verra (3) - 434 freq
varg (3) - 6 freq
virt (3) - 1 freq
zrb (3) - 1 freq
vir (3) - 1 freq
vr (3) - 5 freq
versy (3) - 1 freq
SoundEx code - V610
verify - 2 freq
verb - 129 freq
verb' - 1 freq
virrfu - 3 freq
verve - 2 freq
MetaPhone code - FRB
forby - 491 freq
'forby - 1 freq
furby - 29 freq
foreby - 2 freq
verb - 129 freq
verb' - 1 freq
firby - 1 freq
freebee - 1 freq
freebie - 2 freq
€œforby - 1 freq
€˜forby - 1 freq
forbae - 1 freq
VERB
Time to execute Levenshtein function - 0.199480 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 - 0.333147 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 - 0.026876 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 - 0.037708 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 - 0.000819 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.