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 zither in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
zither (0) - 6 freq
nither (1) - 5 freq
'ither (1) - 7 freq
lither (1) - 1 freq
rither (1) - 6 freq
either (1) - 458 freq
ither (1) - 3074 freq
mither (1) - 1378 freq
tither (1) - 202 freq
cither (1) - 1 freq
aither (1) - 141 freq
wither (1) - 143 freq
hither (1) - 6 freq
dither (1) - 2 freq
gither (1) - 69 freq
bither (1) - 12 freq
fither (1) - 12 freq
zimmer (2) - 3 freq
fitter (2) - 5 freq
lather (2) - 1 freq
'ther (2) - 1 freq
ficher (2) - 4 freq
firther (2) - 1 freq
gether (2) - 42 freq
fuither (2) - 6 freq
zither (0) - 6 freq
wither (2) - 143 freq
aither (2) - 141 freq
hither (2) - 6 freq
bither (2) - 12 freq
fither (2) - 12 freq
cither (2) - 1 freq
gither (2) - 69 freq
dither (2) - 2 freq
'ither (2) - 7 freq
nither (2) - 5 freq
tither (2) - 202 freq
rither (2) - 6 freq
lither (2) - 1 freq
mither (2) - 1378 freq
either (2) - 458 freq
ither (2) - 3074 freq
esther (3) - 46 freq
miuther (3) - 1 freq
gather (3) - 18 freq
ruther (3) - 3 freq
other (3) - 579 freq
tther (3) - 6 freq
tithir (3) - 1 freq
igither (3) - 12 freq
SoundEx code - Z360
zither - 6 freq
zadar - 4 freq
zodr - 1 freq
zkdr - 1 freq
MetaPhone code - S0R
cither - 1 freq
sowther - 5 freq
soother - 3 freq
see-through - 3 freq
zither - 6 freq
souther - 1 freq
ZITHER
Time to execute Levenshtein function - 0.337018 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 - 0.586730 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 - 0.075999 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 - 0.037267 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 - 0.000900 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.