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 devices in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
devices (0) - 8 freq
device (1) - 23 freq
sevices (1) - 1 freq
crevices (2) - 2 freq
devils (2) - 1 freq
defies (2) - 2 freq
derives (2) - 10 freq
desires (2) - 10 freq
divines (2) - 1 freq
defines (2) - 7 freq
davies (2) - 13 freq
levies (2) - 1 freq
devide (2) - 1 freq
depicts (2) - 2 freq
vices (2) - 12 freq
decides (2) - 27 freq
devise (2) - 2 freq
devine (2) - 3 freq
deives (2) - 1 freq
evites (2) - 1 freq
devined (2) - 1 freq
divides (2) - 4 freq
devised (2) - 1 freq
denies (2) - 12 freq
advices (2) - 1 freq
devices (0) - 8 freq
advices (2) - 1 freq
sevices (2) - 1 freq
device (2) - 23 freq
davies (3) - 13 freq
vices (3) - 12 freq
divines (3) - 1 freq
deives (3) - 1 freq
divides (3) - 4 freq
devious (3) - 4 freq
devise (3) - 2 freq
devils (3) - 1 freq
devals (4) - 1 freq
daves (4) - 2 freq
deivils (4) - 1 freq
davis (4) - 7 freq
divits (4) - 1 freq
dances (4) - 43 freq
dunces (4) - 5 freq
voices (4) - 113 freq
devotees (4) - 3 freq
dorics (4) - 2 freq
doves (4) - 2 freq
advice (4) - 137 freq
dics (4) - 1 freq
SoundEx code - D122
devices - 8 freq
deep-couch - 1 freq
deep-seasoned - 1 freq
debshoes - 5 freq
debsshoes - 1 freq
dvigwjk - 1 freq
MetaPhone code - TFSS
devices - 8 freq
DEVICES
Time to execute Levenshtein function - 0.239912 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 - 0.363444 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 - 0.028166 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 - 0.039575 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 - 0.000974 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.