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 meters in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
meters (0) - 12 freq
meers (1) - 2 freq
metters (1) - 8 freq
mesters (1) - 1 freq
merters (1) - 1 freq
peters (1) - 4 freq
meter (1) - 8 freq
memers (1) - 1 freq
moters (1) - 1 freq
lethers (2) - 1 freq
lameters (2) - 5 freq
masters (2) - 10 freq
seers (2) - 3 freq
moter (2) - 5 freq
sesters (2) - 3 freq
mowers (2) - 1 freq
efters (2) - 1 freq
voters (2) - 63 freq
motets (2) - 3 freq
sewers (2) - 5 freq
eers (2) - 9 freq
eetems (2) - 1 freq
messrs (2) - 1 freq
kelters (2) - 1 freq
maetirs (2) - 1 freq
meters (0) - 12 freq
moters (1) - 1 freq
maetirs (2) - 1 freq
motors (2) - 35 freq
motirs (2) - 2 freq
maiters (2) - 28 freq
memers (2) - 1 freq
metres (2) - 15 freq
mesters (2) - 1 freq
metters (2) - 8 freq
peters (2) - 4 freq
merters (2) - 1 freq
meter (2) - 8 freq
meers (2) - 2 freq
motes (3) - 3 freq
metro (3) - 3 freq
ameter (3) - 1 freq
mixers (3) - 1 freq
mates (3) - 90 freq
mutters (3) - 12 freq
makers (3) - 8 freq
laters (3) - 12 freq
mate's (3) - 4 freq
meteor (3) - 1 freq
afters (3) - 3 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 - MTRS
mattress - 18 freq
maitters - 115 freq
matters - 29 freq
mutters - 12 freq
metres - 15 freq
mattrass - 5 freq
motor's - 3 freq
motors - 35 freq
maiters - 28 freq
maitter's - 3 freq
matures - 2 freq
motthors - 2 freq
motirs - 2 freq
motrice - 1 freq
maitiers - 1 freq
metters - 8 freq
meters - 12 freq
mettèrs - 1 freq
midders - 8 freq
maittèrs - 10 freq
matters' - 1 freq
maittèrs' - 1 freq
midder's - 1 freq
mattirs - 1 freq
maetirs - 1 freq
motòrs - 1 freq
moters - 1 freq
madras - 1 freq
METERS
Time to execute Levenshtein function - 0.182257 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 - 0.412401 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 - 0.063035 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 - 0.071395 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 - 0.000939 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.