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 metres in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
metres (0) - 15 freq
metre (1) - 13 freq
memries (2) - 9 freq
meted (2) - 2 freq
genres (2) - 13 freq
feres (2) - 52 freq
mutes (2) - 1 freq
fetes (2) - 1 freq
metier (2) - 1 freq
feires (2) - 1 freq
meths (2) - 1 freq
menses (2) - 1 freq
metters (2) - 8 freq
eres (2) - 1 freq
mets (2) - 1 freq
metals (2) - 5 freq
mates (2) - 88 freq
metro (2) - 3 freq
meeves (2) - 1 freq
meer's (2) - 1 freq
mearns (2) - 6 freq
menties (2) - 1 freq
mites (2) - 1 freq
mires (2) - 3 freq
motes (2) - 3 freq
metres (0) - 15 freq
meters (2) - 12 freq
matures (2) - 2 freq
metre (2) - 13 freq
memores (3) - 1 freq
mores (3) - 1 freq
stres (3) - 1 freq
merries (3) - 6 freq
meers (3) - 2 freq
moters (3) - 1 freq
mitre (3) - 2 freq
motors (3) - 35 freq
motes (3) - 3 freq
maetirs (3) - 1 freq
tetris (3) - 1 freq
myres (3) - 1 freq
tres (3) - 1 freq
metric (3) - 3 freq
litres (3) - 3 freq
motirs (3) - 2 freq
mires (3) - 3 freq
meter (3) - 8 freq
mares (3) - 2 freq
metals (3) - 5 freq
metier (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 - MTRS
mattress - 18 freq
maitters - 113 freq
matters - 27 freq
mutters - 10 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
METRES
Time to execute Levenshtein function - 0.231718 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 - 0.366490 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 - 0.028401 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 - 0.042637 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 - 0.000872 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.