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 mithers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mithers (0) - 79 freq
fithers (1) - 4 freq
'mithers (1) - 1 freq
mothers (1) - 9 freq
ithers (1) - 574 freq
mither (1) - 1376 freq
mithert (1) - 1 freq
tithers (1) - 1 freq
withers (1) - 5 freq
mither' (1) - 4 freq
nithers (1) - 1 freq
eithers (1) - 1 freq
mither's (1) - 137 freq
aithers (1) - 7 freq
mathers (1) - 2 freq
muthers (1) - 1 freq
mithers' (1) - 1 freq
gaithers (2) - 9 freq
minkers (2) - 3 freq
either (2) - 445 freq
midders (2) - 8 freq
tithes (2) - 2 freq
either' (2) - 1 freq
fathers (2) - 3 freq
anithers (2) - 5 freq
mithers (0) - 79 freq
mathers (1) - 2 freq
mothers (1) - 9 freq
muthers (1) - 1 freq
'mithers (2) - 1 freq
mither's (2) - 137 freq
mithers' (2) - 1 freq
ithers (2) - 574 freq
fithers (2) - 4 freq
eithers (2) - 1 freq
aithers (2) - 7 freq
mithert (2) - 1 freq
mither (2) - 1376 freq
nithers (2) - 1 freq
tithers (2) - 1 freq
mither' (2) - 4 freq
withers (2) - 5 freq
wathers (3) - 1 freq
lethers (3) - 1 freq
mutters (3) - 10 freq
thers (3) - 1 freq
muther (3) - 26 freq
gathers (3) - 1 freq
myther (3) - 2 freq
maitiers (3) - 1 freq
SoundEx code - M362
mattress - 18 freq
mither's - 137 freq
mothers - 9 freq
maitters - 113 freq
matters - 27 freq
mutters - 10 freq
mithers - 79 freq
mither-side - 1 freq
metres - 15 freq
mattresses - 6 freq
mithers-in-law - 1 freq
mothers-in-law - 1 freq
meteoric - 1 freq
mattrass - 5 freq
motor's - 3 freq
motors - 35 freq
maiters - 28 freq
maitter's - 3 freq
matures - 2 freq
motorists - 3 freq
'mithers - 1 freq
motthors - 2 freq
motthor-car - 2 freq
motirs - 2 freq
motrice - 1 freq
maitiers - 1 freq
metters - 8 freq
meters - 12 freq
mother's - 3 freq
mither-son - 1 freq
mettèrs - 1 freq
mither-goat - 2 freq
mither-gab - 1 freq
midders - 8 freq
motorised - 1 freq
maittèrs - 10 freq
matters' - 1 freq
maittèrs' - 1 freq
matrix - 1 freq
midder's - 1 freq
mottir-kaars - 1 freq
mithir's - 6 freq
mither-speik - 1 freq
mattirs - 1 freq
maitters-na - 1 freq
maetirs - 1 freq
metrical - 1 freq
motorist - 2 freq
mathrick - 1 freq
mithers' - 1 freq
mathers - 2 freq
metric - 3 freq
metrically - 1 freq
motor-coach - 1 freq
motòrs - 1 freq
moters - 1 freq
metrosplaining - 1 freq
mither’s - 5 freq
mdruc - 1 freq
mattrichardson - 50 freq
madtrust - 1 freq
mattreguson - 1 freq
madras - 1 freq
mothersday - 3 freq
motorcycle - 1 freq
'mothers - 1 freq
muthers - 1 freq
MetaPhone code - M0RS
mither's - 137 freq
mothers - 9 freq
mithers - 79 freq
'mithers - 1 freq
mother's - 3 freq
mithir's - 6 freq
mithers' - 1 freq
mathers - 2 freq
mither’s - 5 freq
'mothers - 1 freq
muthers - 1 freq
MITHERS
mither - 1376 freq
mother - 97 freq
mother's - 3 freq
mothering - freq
mothers - 9 freq
mothersday - 3 freq
mother-fucking - freq
mother' - 1 freq
motherfuckers - 3 freq
motherboards - 1 freq
mither's - 137 freq
mithers - 79 freq
mither-in-laa - 5 freq
mither-in-law - 13 freq
mither-in-laaw - 3 freq
mither' - 4 freq
mitherin - 7 freq
Time to execute Levenshtein function - 0.177837 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 - 0.326305 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 - 0.027391 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 - 0.036863 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 - 0.001067 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.