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
drifter (2) - 2 freq
drills (2) - 14 freq
killer (2) - 22 freq
roller (2) - 27 freq
drill (2) - 51 freq
filler (2) - 2 freq
grille (2) - 1 freq
drillit (2) - 1 freq
grilled (2) - 2 freq
miller (2) - 56 freq
thriller (2) - 1 freq
drinker (2) - 7 freq
driver (2) - 89 freq
dillier (2) - 1 freq
traller (2) - 1 freq
siller (2) - 759 freq
drillin (2) - 13 freq
dailer (2) - 1 freq
tiller (2) - 12 freq
dweller (2) - 2 freq
'siller (2) - 1 freq
duller (2) - 2 freq
trilled (2) - 1 freq
drier (2) - 9 freq
driller (0) - 5 freq
duller (3) - 2 freq
dirler (3) - 1 freq
dillier (3) - 1 freq
traller (3) - 1 freq
drillin (3) - 13 freq
drillit (3) - 1 freq
dweller (3) - 2 freq
drillie (3) - 1 freq
roller (3) - 27 freq
drill (3) - 51 freq
drills (3) - 14 freq
dollar (4) - 12 freq
'siller (4) - 1 freq
dreillin (4) - 1 freq
droll (4) - 13 freq
dilled (4) - 3 freq
drier (4) - 9 freq
tiller (4) - 12 freq
trilled (4) - 1 freq
grilled (4) - 2 freq
killer (4) - 22 freq
filler (4) - 2 freq
grille (4) - 1 freq
dailer (4) - 1 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 - 0.218807 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 - 0.328145 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 - 0.028047 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 - 0.037129 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 - 0.000905 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.