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 zabell in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
zabell (0) - 1 freq
abell (1) - 1 freq
waell (2) - 1 freq
danbell (2) - 2 freq
javell (2) - 1 freq
zaxbel (2) - 1 freq
lavell (2) - 2 freq
label (2) - 57 freq
dayell (2) - 1 freq
labellt (2) - 1 freq
pjbell (2) - 1 freq
bell (2) - 215 freq
babel (2) - 7 freq
labels (2) - 6 freq
sabill (2) - 1 freq
labelt (2) - 2 freq
fatell (2) - 1 freq
ab'll (2) - 2 freq
rabels (2) - 1 freq
masell (2) - 67 freq
gbell (2) - 1 freq
abel (2) - 7 freq
mabel (2) - 91 freq
umbels (3) - 1 freq
rebelle (3) - 1 freq
zabell (0) - 1 freq
abell (2) - 1 freq
bell (3) - 215 freq
gbell (3) - 1 freq
sabill (3) - 1 freq
i'bill (4) - 2 freq
kbll (4) - 1 freq
bella (4) - 96 freq
mabel (4) - 91 freq
rebelle (4) - 1 freq
boll (4) - 1 freq
ball (4) - 62 freq
belle (4) - 17 freq
bull (4) - 92 freq
sibella (4) - 2 freq
nobill (4) - 1 freq
masell (4) - 67 freq
belly (4) - 163 freq
bill (4) - 551 freq
abel (4) - 7 freq
label (4) - 57 freq
dayell (4) - 1 freq
labellt (4) - 1 freq
lavell (4) - 2 freq
zaxbel (4) - 1 freq
SoundEx code - Z140
zabell - 1 freq
MetaPhone code - SBL
sabill - 1 freq
sibiel - 1 freq
sable - 2 freq
sobel - 1 freq
sibble - 1 freq
seeable - 1 freq
ys-bloo - 1 freq
sibella - 2 freq
sybil - 1 freq
Ísabel - 6 freq
zabell - 1 freq
ZABELL
Time to execute Levenshtein function - 0.359294 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 - 0.524992 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 - 0.067257 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 - 0.043637 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 - 0.000893 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.