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 driller in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
driller (0) - 5 freq
drilled (1) - 1 freq
thriller (2) - 1 freq
duller (2) - 2 freq
drinker (2) - 7 freq
drillit (2) - 1 freq
dweller (2) - 2 freq
drills (2) - 14 freq
driver (2) - 92 freq
dillier (2) - 1 freq
drillie (2) - 1 freq
tiller (2) - 12 freq
grilled (2) - 2 freq
drillin (2) - 13 freq
traller (2) - 1 freq
'siller (2) - 1 freq
drill (2) - 53 freq
miller (2) - 56 freq
roller (2) - 27 freq
drifter (2) - 2 freq
trilled (2) - 1 freq
dailer (2) - 1 freq
siller (2) - 763 freq
grille (2) - 1 freq
filler (2) - 2 freq
driller (0) - 5 freq
drilled (2) - 1 freq
drillin (3) - 13 freq
traller (3) - 1 freq
drill (3) - 53 freq
roller (3) - 27 freq
dillier (3) - 1 freq
dirler (3) - 1 freq
drillie (3) - 1 freq
duller (3) - 2 freq
dweller (3) - 2 freq
drillit (3) - 1 freq
drills (3) - 14 freq
dreillin (4) - 1 freq
filler (4) - 2 freq
grille (4) - 1 freq
drier (4) - 9 freq
siller (4) - 763 freq
droll (4) - 13 freq
dollar (4) - 12 freq
dilled (4) - 3 freq
killer (4) - 23 freq
grilled (4) - 2 freq
tiller (4) - 12 freq
drinker (4) - 7 freq
SoundEx code - D646
driller - 5 freq
dirler - 1 freq
MetaPhone code - TRLR
trailer - 13 freq
driller - 5 freq
dirler - 1 freq
traller - 1 freq
trawler - 3 freq
traaler - 3 freq
tarlair - 7 freq
DRILLER
Time to execute Levenshtein function - 0.299792 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 - 0.528868 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 - 0.063228 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 - 0.037591 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 - 0.000889 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.