A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to merida in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
merida (0) - 1 freq
merkid (2) - 2 freq
media (2) - 268 freq
mariza (2) - 1 freq
mera (2) - 2 freq
erica (2) - 1 freq
maria (2) - 8 freq
meidae (2) - 4 freq
meid (2) - 4 freq
meridian (2) - 1 freq
derrida (2) - 1 freq
merican (2) - 1 freq
merit (2) - 17 freq
mercia (2) - 13 freq
marina (2) - 4 freq
erika (2) - 1 freq
gerda (2) - 4 freq
marisa (2) - 1 freq
merde (2) - 1 freq
meids (2) - 3 freq
meeda (2) - 8 freq
neruda (2) - 1 freq
mersday (2) - 1 freq
merits (2) - 7 freq
america (2) - 76 freq
merida (0) - 1 freq
merde (2) - 1 freq
meeda (3) - 8 freq
neruda (3) - 1 freq
marisa (3) - 1 freq
gerda (3) - 4 freq
mersday (3) - 1 freq
murdo (3) - 18 freq
mired (3) - 2 freq
mird (3) - 6 freq
morde (3) - 1 freq
myriad (3) - 11 freq
marina (3) - 4 freq
america (3) - 76 freq
mardi (3) - 2 freq
merkid (3) - 2 freq
meidae (3) - 4 freq
mera (3) - 2 freq
media (3) - 268 freq
meridian (3) - 1 freq
meid (3) - 4 freq
merit (3) - 17 freq
mariza (3) - 1 freq
mercia (3) - 13 freq
maria (3) - 8 freq
SoundEx code - M630
mairrit - 59 freq
mort - 3 freq
mairried - 40 freq
mairiet - 4 freq
married - 30 freq
mairriet - 55 freq
marred - 5 freq
mired - 2 freq
mirth - 12 freq
merit - 17 freq
moored - 2 freq
merriet - 39 freq
mairret - 17 freq
marta - 1 freq
'mairrit - 1 freq
mart - 38 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
mairead - 6 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
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 - 30 freq
mairriet - 55 freq
marred - 5 freq
mired - 2 freq
merit - 17 freq
moored - 2 freq
merriet - 39 freq
mairret - 17 freq
marta - 1 freq
'mairrit - 1 freq
mart - 38 freq
merried - 14 freq
mird - 6 freq
mardi - 2 freq
mairied - 10 freq
mairie't - 1 freq
moort - 4 freq
mayritt - 1 freq
mairead - 6 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
maerried - 1 freq
marriot - 1 freq
moretti - 1 freq
morde - 1 freq
merida - 1 freq
MERIDA
Time to execute Levenshtein function - 0.309085 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 - 0.620496 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 - 0.068538 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 - 0.086971 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 - 0.001076 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.