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 metres in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
metres (0) - 15 freq
metre (1) - 13 freq
lettres (2) - 1 freq
tres (2) - 1 freq
mere' (2) - 1 freq
mere's (2) - 1 freq
memries (2) - 9 freq
merks (2) - 47 freq
mete (2) - 4 freq
meted (2) - 2 freq
meeves (2) - 1 freq
eares (2) - 1 freq
mires (2) - 3 freq
metters (2) - 8 freq
memnes (2) - 1 freq
mebbes (2) - 49 freq
memores (2) - 1 freq
mutes (2) - 1 freq
meters (2) - 12 freq
heres (2) - 8 freq
mares (2) - 2 freq
merles (2) - 1 freq
mere (2) - 24 freq
mercs (2) - 1 freq
metter (2) - 53 freq
metres (0) - 15 freq
matures (2) - 2 freq
metre (2) - 13 freq
meters (2) - 12 freq
motirs (3) - 2 freq
stres (3) - 1 freq
litres (3) - 3 freq
mores (3) - 1 freq
merries (3) - 6 freq
metro (3) - 3 freq
myres (3) - 1 freq
motes (3) - 3 freq
meths (3) - 1 freq
tetris (3) - 1 freq
metier (3) - 1 freq
mates (3) - 90 freq
mites (3) - 1 freq
mitre (3) - 2 freq
mets (3) - 1 freq
motors (3) - 35 freq
meter (3) - 8 freq
meers (3) - 2 freq
metric (3) - 3 freq
metals (3) - 5 freq
moters (3) - 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 - 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
METRES
Time to execute Levenshtein function - 0.283476 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 - 0.391911 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 - 0.028226 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 - 0.039066 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 - 0.001017 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.