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 mothersday in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mothersday (0) - 3 freq
fathersday (2) - 2 freq
thirsday (3) - 1 freq
mersday (3) - 1 freq
thursday (3) - 190 freq
mothers (3) - 9 freq
rothesay (3) - 4 freq
'thursday (3) - 1 freq
bothers (4) - 9 freq
modern-day (4) - 3 freq
mithers (4) - 80 freq
tuesday (4) - 161 freq
mither-gab (4) - 1 freq
mother' (4) - 1 freq
nothers (4) - 1 freq
smothered (4) - 6 freq
latter-day (4) - 1 freq
muthers (4) - 1 freq
mother's (4) - 3 freq
thirday (4) - 1 freq
tyesday (4) - 1 freq
mitherly (4) - 3 freq
untherstan (4) - 1 freq
motherwell (4) - 30 freq
mathers (4) - 2 freq
mothersday (0) - 3 freq
fathersday (3) - 2 freq
mothers (4) - 9 freq
'thursday (4) - 1 freq
thursday (4) - 190 freq
thirsday (4) - 1 freq
mithers (5) - 80 freq
mathers (5) - 2 freq
mithers' (5) - 1 freq
muthers (5) - 1 freq
mersday (5) - 1 freq
thursdays (6) - 3 freq
bothered (6) - 59 freq
rothesay (6) - 4 freq
bothers (6) - 9 freq
'mothers (6) - 1 freq
dothers (6) - 5 freq
others (6) - 59 freq
botherd (6) - 1 freq
thusday (6) - 1 freq
mitherly (6) - 3 freq
mother (6) - 97 freq
moters (6) - 1 freq
nothers (6) - 1 freq
mother' (6) - 1 freq
SoundEx code - M362
mattress - 18 freq
mither's - 138 freq
mothers - 9 freq
maitters - 115 freq
matters - 29 freq
mutters - 12 freq
mithers - 80 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 - M0RST
mither-side - 1 freq
mothersday - 3 freq
MOTHERSDAY
mither - 1378 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 - 138 freq
mithers - 80 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 - 0.207722 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 - 0.371917 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 - 0.028186 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 - 0.037276 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 - 0.001255 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.