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 martinmcneely in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
martinmcneely (0) - 1 freq
martinagrey (5) - 1 freq
martinscoeu (5) - 5 freq
martinjlansdell (6) - 49 freq
princely (6) - 2 freq
mawhinney (6) - 6 freq
bartoncreeth (6) - 2 freq
marginally (6) - 3 freq
matinee (6) - 4 freq
mannerly (6) - 1 freq
getinmabelly (6) - 1 freq
martiningram (6) - 1 freq
articulately (6) - 1 freq
martinocon (6) - 2 freq
martingfindlay (6) - 1 freq
bryanmcneill (6) - 1 freq
martinknight (6) - 1 freq
martinjdocherty (6) - 1 freq
tartanmarvel (6) - 1 freq
sarahrneely (6) - 1 freq
marinells (6) - 1 freq
martindoyleit (6) - 1 freq
martindale (6) - 1 freq
wartime (7) - 7 freq
marginalised (7) - 1 freq
martinmcneely (0) - 1 freq
martinocon (8) - 2 freq
martinscoeu (8) - 5 freq
martindale (9) - 1 freq
martingfindlay (9) - 1 freq
bryanmcneill (9) - 1 freq
tartanmarvel (9) - 1 freq
martinagrey (9) - 1 freq
barramacneil (10) - 1 freq
mairtinmas (10) - 6 freq
mairtinmass (10) - 1 freq
mrtomcoles (10) - 1 freq
matrimonial (10) - 1 freq
martindoyleit (10) - 1 freq
cameronmcneill (10) - 2 freq
getinmabelly (10) - 1 freq
marginally (10) - 3 freq
martiningram (10) - 1 freq
princely (10) - 2 freq
martingirth (11) - 1 freq
karenmooney (11) - 6 freq
servin-chiel (11) - 1 freq
maritime (11) - 4 freq
martinis (11) - 1 freq
martial (11) - 5 freq
SoundEx code - M635
muirtoun - 1 freq
mairtinmas - 6 freq
martin - 47 freq
mauretania - 1 freq
morton - 30 freq
morton's - 2 freq
martens - 4 freq
maraudin - 1 freq
mauraudin' - 1 freq
maraudin' - 1 freq
maritime - 4 freq
martynov - 1 freq
martino - 1 freq
mairtin - 1 freq
martin's - 2 freq
mirry-dancers - 3 freq
marathon - 10 freq
martian - 7 freq
mairtime - 1 freq
mart-ini - 1 freq
mortem - 1 freq
mirdin - 1 freq
martins - 2 freq
meridians - 1 freq
mairtinmass - 1 freq
mertins - 2 freq
mairtian - 2 freq
marten - 1 freq
martinis - 1 freq
meridian - 1 freq
martyne - 1 freq
mairtins - 1 freq
€œmorten - 1 freq
€œmartin - 1 freq
marathons - 4 freq
merton - 4 freq
mertin - 2 freq
mortimer - 3 freq
martyn - 1 freq
myreton - 1 freq
moredun - 1 freq
murraytennisfan - 4 freq
martiningram - 1 freq
martinjkeatings - 10 freq
martindoyleit - 1 freq
martinagrey - 1 freq
mirtn - 4 freq
martindale - 1 freq
maradona - 3 freq
mairiduncan - 1 freq
martinlawlor - 1 freq
martinknight - 1 freq
martingfindlay - 1 freq
mrrtomlinson - 1 freq
martinocon - 2 freq
martinscoeu - 5 freq
martinjdocherty - 1 freq
martinmcneely - 1 freq
martinjlansdell - 49 freq
mrtomcoles - 1 freq
martyndaysnp - 1 freq
martingirth - 1 freq
martingeraght - 1 freq
martinstewart - 1 freq
MetaPhone code - MRTNMKNL
martinmcneely - 1 freq
MARTINMCNEELY
Time to execute Levenshtein function - 0.267534 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 - 0.529269 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 - 0.039237 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 - 0.050366 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 - 0.001277 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.