A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to dlclue in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
dlclue (0) - 1 freq
mcclue (2) - 2 freq
clue (2) - 87 freq
develue (3) - 1 freq
illie (3) - 2 freq
dvlce (3) - 1 freq
cue (3) - 10 freq
velue (3) - 17 freq
clye (3) - 2 freq
€˜blue (3) - 1 freq
blue (3) - 567 freq
'value (3) - 1 freq
clique (3) - 3 freq
dictum (3) - 1 freq
lyle (3) - 3 freq
decore (3) - 1 freq
doulie (3) - 2 freq
declan (3) - 35 freq
dule (3) - 37 freq
doolie (3) - 3 freq
ducale (3) - 1 freq
declin (3) - 1 freq
dlgye (3) - 1 freq
blyue (3) - 1 freq
exclude (3) - 4 freq
dlclue (0) - 1 freq
dolce (4) - 1 freq
dll (4) - 4 freq
ducale (4) - 1 freq
docile (4) - 1 freq
dollie (4) - 1 freq
clue (4) - 87 freq
mcclue (4) - 2 freq
dallie (4) - 13 freq
slolee (5) - 1 freq
mlle (5) - 1 freq
dailie (5) - 8 freq
dice (5) - 13 freq
alcove (5) - 4 freq
dulie (5) - 1 freq
clie (5) - 2 freq
delude (5) - 1 freq
dachle (5) - 1 freq
decade (5) - 30 freq
decode (5) - 2 freq
uncle (5) - 275 freq
dowlie (5) - 3 freq
declir (5) - 1 freq
allie (5) - 9 freq
allye (5) - 1 freq
SoundEx code - D424
daluege'll - 1 freq
dowlesslie - 1 freq
dalziel - 1 freq
dialeck-level - 1 freq
dalglish - 4 freq
dalgleish - 1 freq
dailygael - 2 freq
dlclue - 1 freq
MetaPhone code - TLKL
dailygael - 2 freq
dlclue - 1 freq
DLCLUE
Time to execute Levenshtein function - 0.221170 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 - 0.382799 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 - 0.027991 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 - 0.037144 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 - 0.000944 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.