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 dalnoid in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
dalnoid (0) - 6 freq
tannoid (2) - 1 freq
avoid (3) - 54 freq
pallid (3) - 1 freq
waantid (3) - 2 freq
albeid (3) - 1 freq
almond (3) - 4 freq
damned (3) - 39 freq
dalyrd (3) - 1 freq
allood (3) - 7 freq
dansin (3) - 14 freq
mallord (3) - 1 freq
dancis (3) - 2 freq
dauntin (3) - 4 freq
alooin (3) - 1 freq
david (3) - 230 freq
falloed (3) - 1 freq
droid (3) - 1 freq
bannid (3) - 1 freq
mastoid (3) - 1 freq
paranoid (3) - 12 freq
alloud (3) - 1 freq
dawnit (3) - 3 freq
daintie (3) - 1 freq
alooed (3) - 2 freq
dalnoid (0) - 6 freq
daled (4) - 5 freq
dawned (4) - 13 freq
dalin (4) - 4 freq
darned (4) - 2 freq
dallied (4) - 1 freq
dalyrd (4) - 1 freq
dandie (4) - 1 freq
damned (4) - 39 freq
tannoid (4) - 1 freq
deluded (5) - 1 freq
dilled (5) - 3 freq
daavid (5) - 12 freq
droond (5) - 5 freq
lndia (5) - 1 freq
delled (5) - 2 freq
drained (5) - 22 freq
talentid (5) - 1 freq
dandy (5) - 37 freq
dailin (5) - 1 freq
dolled (5) - 6 freq
delayin (5) - 3 freq
dali (5) - 5 freq
dawnin (5) - 7 freq
daid (5) - 5 freq
SoundEx code - D453
dalmatians - 4 freq
dalmatian - 1 freq
doolander - 1 freq
dalmations - 3 freq
dalnoid - 6 freq
dolomites - 1 freq
MetaPhone code - TLNT
talent - 59 freq
taloned - 1 freq
tland - 3 freq
tailend - 1 freq
dalnoid - 6 freq
DALNOID
Time to execute Levenshtein function - 0.186112 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 - 0.340811 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 - 0.028305 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 - 0.038348 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 - 0.000843 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.