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 makers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
makers (0) - 8 freq
maskers (1) - 1 freq
makkers (1) - 2 freq
makars (1) - 81 freq
mackers (1) - 1 freq
jakers (1) - 1 freq
rakers (1) - 1 freq
makes (1) - 189 freq
markers (1) - 7 freq
takers (1) - 2 freq
fakers (1) - 1 freq
bakers (1) - 24 freq
maakers (1) - 3 freq
maker (1) - 18 freq
ackers (2) - 16 freq
makaris (2) - 1 freq
manes (2) - 11 freq
papers (2) - 137 freq
mailers (2) - 1 freq
makem (2) - 1 freq
mike's (2) - 1 freq
makkens (2) - 1 freq
makks (2) - 2 freq
males (2) - 10 freq
mater (2) - 16 freq
makers (0) - 8 freq
makars (1) - 81 freq
maakers (1) - 3 freq
maker (2) - 18 freq
fakers (2) - 1 freq
makkers (2) - 2 freq
makaris (2) - 1 freq
maskers (2) - 1 freq
takers (2) - 2 freq
bakers (2) - 24 freq
jakers (2) - 1 freq
mackers (2) - 1 freq
markers (2) - 7 freq
rakers (2) - 1 freq
makes (2) - 189 freq
makkars (3) - 12 freq
mowers (3) - 1 freq
maaker (3) - 1 freq
makar' (3) - 1 freq
hikers (3) - 2 freq
minkers (3) - 3 freq
taakers (3) - 4 freq
meters (3) - 12 freq
ickers (3) - 1 freq
smokers (3) - 8 freq
SoundEx code - M262
measures - 16 freq
machar's - 4 freq
makers - 8 freq
makars - 81 freq
muckers - 4 freq
mackers - 1 freq
mccracken - 1 freq
mcguire's - 2 freq
makar's - 17 freq
major's - 4 freq
microscope - 7 freq
émigrés - 1 freq
maquereaux - 1 freq
mckerrow's - 1 freq
makker's - 1 freq
meesher's - 1 freq
maisser's - 1 freq
maissers - 1 freq
macgreegor - 2 freq
misers - 1 freq
makkars - 12 freq
mcgregors - 2 freq
majorca - 8 freq
mcgregor - 25 freq
mcgregor's - 2 freq
mowsers - 1 freq
miseries - 2 freq
microsoft - 6 freq
'microsoft - 2 freq
macarsey - 2 freq
makkers - 2 freq
mascarg - 1 freq
mcgreegor - 2 freq
machars - 4 freq
measuirs - 1 freq
microscooter - 1 freq
microscopic - 1 freq
meisures - 8 freq
meisurestae - 1 freq
'mikros' - 1 freq
'microcosm' - 1 freq
misery-guts - 1 freq
mizhures - 8 freq
microscopp - 1 freq
meisurs - 1 freq
maesures - 1 freq
messrs - 1 freq
miscarriages - 2 freq
mckirk - 1 freq
maakers - 3 freq
missures - 2 freq
mccreishies - 2 freq
macgregor - 3 freq
meesures - 1 freq
mock-heroic - 1 freq
makars' - 2 freq
microscowp - 1 freq
miser's - 1 freq
microsoft's - 1 freq
mowser's - 1 freq
mixers - 1 freq
makkowers - 1 freq
maker-chiel - 1 freq
misures - 9 freq
miseryguts - 5 freq
microhistory - 1 freq
microchip - 1 freq
microcosm - 1 freq
migraasje - 8 freq
misregaird - 1 freq
maigraeshin - 1 freq
mccarryjane - 1 freq
moosyercoo - 9 freq
maxgeorge - 11 freq
microsffsco - 1 freq
maskers - 1 freq
mxsxrz - 1 freq
microsculpture - 1 freq
mkrxfw - 1 freq
mickcraig - 1 freq
mcharg - 1 freq
maxrushden - 1 freq
microcosmic - 1 freq
makaris - 1 freq
MetaPhone code - MKRS
makers - 8 freq
makars - 81 freq
muckers - 4 freq
mackers - 1 freq
makar's - 17 freq
émigrés - 1 freq
mckerrow's - 1 freq
makker's - 1 freq
makkars - 12 freq
macarsey - 2 freq
makkers - 2 freq
'mikros' - 1 freq
maakers - 3 freq
makars' - 2 freq
makaris - 1 freq
MAKERS
Time to execute Levenshtein function - 0.352671 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 - 0.524983 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 - 0.058367 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 - 0.037132 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 - 0.000913 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.