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 vapin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
vapin (0) - 1 freq
gapin (1) - 10 freq
rapin (1) - 2 freq
apin (1) - 13 freq
vain (1) - 30 freq
lapin (1) - 1 freq
vapid (1) - 1 freq
papin (1) - 2 freq
saain (2) - 7 freq
easin (2) - 11 freq
raspin (2) - 5 freq
vyin (2) - 1 freq
vannin (2) - 1 freq
raxin (2) - 61 freq
datin (2) - 11 freq
uppin (2) - 1 freq
parin (2) - 4 freq
gopin (2) - 1 freq
votin (2) - 45 freq
leapin (2) - 6 freq
camin (2) - 4 freq
yasin (2) - 15 freq
gain (2) - 53 freq
bain (2) - 77 freq
lopin (2) - 1 freq
vapin (0) - 1 freq
vapid (2) - 1 freq
papin (2) - 2 freq
vpon (2) - 1 freq
lapin (2) - 1 freq
vpn (2) - 1 freq
vain (2) - 30 freq
rapin (2) - 2 freq
gapin (2) - 10 freq
apin (2) - 13 freq
aapen (3) - 1 freq
dupin (3) - 1 freq
appin (3) - 2 freq
gaapin (3) - 1 freq
avin (3) - 2 freq
payin (3) - 30 freq
haepin (3) - 1 freq
'apen (3) - 2 freq
gypin (3) - 3 freq
japan (3) - 10 freq
heapin (3) - 2 freq
copin (3) - 4 freq
vann (3) - 3 freq
vexin (3) - 5 freq
hoapin (3) - 2 freq
SoundEx code - V150
vapin - 1 freq
viviane - 4 freq
vhfm - 1 freq
vwevnyu - 1 freq
vhvnm - 1 freq
MetaPhone code - FPN
vapin - 1 freq
vpoun - 1 freq
vpon - 1 freq
vpn - 1 freq
VAPIN
Time to execute Levenshtein function - 0.506051 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 - 0.602537 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 - 0.027531 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 - 0.072532 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 - 0.001096 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.