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 merit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
merit (0) - 16 freq
merkt (1) - 5 freq
merkit (1) - 31 freq
werit (1) - 1 freq
marit (1) - 1 freq
merrit (1) - 6 freq
meit (1) - 3 freq
mert (1) - 1 freq
menit (1) - 2 freq
merits (1) - 7 freq
erik (2) - 2 freq
meenit (2) - 526 freq
merch (2) - 43 freq
melt (2) - 41 freq
mercia (2) - 13 freq
kervit (2) - 9 freq
megic (2) - 2 freq
writ (2) - 51 freq
merrin (2) - 1 freq
mrim (2) - 1 freq
meir (2) - 7 freq
merest (2) - 6 freq
merida (2) - 1 freq
merchit (2) - 1 freq
ment (2) - 18 freq
merit (0) - 16 freq
mert (1) - 1 freq
marit (1) - 1 freq
mort (2) - 3 freq
mereat (2) - 1 freq
moorit (2) - 8 freq
mairit (2) - 11 freq
merits (2) - 7 freq
mart (2) - 25 freq
werit (2) - 1 freq
meit (2) - 3 freq
merrit (2) - 6 freq
menit (2) - 2 freq
merkit (2) - 31 freq
merkt (2) - 5 freq
mutit (3) - 1 freq
beirit (3) - 1 freq
wearit (3) - 7 freq
mit (3) - 3 freq
mercy (3) - 92 freq
varit (3) - 1 freq
merc (3) - 2 freq
masit (3) - 1 freq
maris (3) - 1 freq
meent (3) - 22 freq
SoundEx code - M630
mairrit - 59 freq
mort - 3 freq
mairried - 40 freq
mairiet - 4 freq
married - 29 freq
mairriet - 55 freq
marred - 5 freq
mired - 2 freq
mirth - 10 freq
merit - 16 freq
moored - 2 freq
merriet - 39 freq
mairret - 17 freq
marta - 1 freq
'mairrit - 1 freq
mart - 25 freq
merried - 14 freq
mird - 6 freq
mardi - 2 freq
martha - 7 freq
mairied - 10 freq
mairie't - 1 freq
moort - 4 freq
mayritt - 1 freq
mairit - 11 freq
myriad - 11 freq
mairt - 5 freq
marriet - 15 freq
merde - 1 freq
mairtha - 3 freq
muirret - 1 freq
moorit - 8 freq
merrried - 1 freq
mert - 1 freq
mereat - 1 freq
murdo - 18 freq
merrit - 6 freq
murriet - 1 freq
marrit - 1 freq
marit - 1 freq
mairead - 5 freq
maerried - 1 freq
marriot - 1 freq
moretti - 1 freq
morde - 1 freq
merida - 1 freq
muirhead - 1 freq
MetaPhone code - MRT
mairrit - 59 freq
mort - 3 freq
mairried - 40 freq
mairiet - 4 freq
married - 29 freq
mairriet - 55 freq
marred - 5 freq
mired - 2 freq
merit - 16 freq
moored - 2 freq
merriet - 39 freq
mairret - 17 freq
marta - 1 freq
'mairrit - 1 freq
mart - 25 freq
merried - 14 freq
mird - 6 freq
mardi - 2 freq
mairied - 10 freq
mairie't - 1 freq
moort - 4 freq
mayritt - 1 freq
mairit - 11 freq
myriad - 11 freq
mairt - 5 freq
marriet - 15 freq
merde - 1 freq
muirret - 1 freq
moorit - 8 freq
merrried - 1 freq
mert - 1 freq
mereat - 1 freq
murdo - 18 freq
merrit - 6 freq
murriet - 1 freq
marrit - 1 freq
marit - 1 freq
mairead - 5 freq
maerried - 1 freq
marriot - 1 freq
moretti - 1 freq
morde - 1 freq
merida - 1 freq
MERIT
Time to execute Levenshtein function - 0.318795 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 - 0.790199 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 - 0.083557 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 - 0.087776 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 - 0.000837 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.