A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to mabel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mabel (0) - 91 freq
macel (1) - 1 freq
masel (1) - 1037 freq
mael (1) - 2 freq
label (1) - 57 freq
abel (1) - 7 freq
babel (1) - 7 freq
aaber (2) - 22 freq
abee (2) - 3 freq
labeo (2) - 1 freq
mates (2) - 90 freq
mage (2) - 3 freq
nobel (2) - 9 freq
manuel (2) - 2 freq
mase (2) - 1 freq
ma'll (2) - 1 freq
abell (2) - 1 freq
tael (2) - 6 freq
ayel (2) - 2 freq
matey (2) - 5 freq
mebe (2) - 1 freq
wael (2) - 9 freq
lael (2) - 6 freq
lapel (2) - 3 freq
majer (2) - 1 freq
mabel (0) - 91 freq
mable (2) - 2 freq
mobil (2) - 1 freq
mbl (2) - 1 freq
abel (2) - 7 freq
babel (2) - 7 freq
macel (2) - 1 freq
label (2) - 57 freq
masel (2) - 1037 freq
mael (2) - 2 freq
mbe (3) - 5 freq
mal (3) - 2 freq
mebee (3) - 2 freq
maseyl (3) - 2 freq
rebel (3) - 27 freq
mail (3) - 54 freq
mayol (3) - 1 freq
meel (3) - 3 freq
isabel (3) - 40 freq
mibe (3) - 3 freq
maesel (3) - 19 freq
maol (3) - 1 freq
model (3) - 78 freq
cabal (3) - 2 freq
sobel (3) - 1 freq
SoundEx code - M140
mabel - 91 freq
mobile - 57 freq
maple - 6 freq
maybole - 1 freq
muffle - 4 freq
movilla - 3 freq
mayfly - 1 freq
mobil - 1 freq
maipil - 1 freq
mbl - 1 freq
mable - 2 freq
MetaPhone code - MBL
mabel - 91 freq
mobile - 57 freq
maybole - 1 freq
mobil - 1 freq
mable - 2 freq
MABEL
Time to execute Levenshtein function - 0.216089 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 - 0.356519 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 - 0.028821 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 - 0.039576 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 - 0.000969 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.