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 makar in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
makar (0) - 98 freq
makar' (1) - 1 freq
maker (1) - 18 freq
'makar (1) - 1 freq
makkar (1) - 3 freq
makan (1) - 21 freq
makars (1) - 81 freq
aka (2) - 12 freq
maer (2) - 3 freq
mak' (2) - 79 freq
maam (2) - 1 freq
moka (2) - 1 freq
mckay (2) - 5 freq
marr (2) - 5 freq
maaker (2) - 1 freq
mayer (2) - 1 freq
matr (2) - 7 freq
mailr (2) - 1 freq
markan (2) - 1 freq
makkan (2) - 13 freq
malay (2) - 1 freq
mayor (2) - 3 freq
macaw (2) - 1 freq
warkar (2) - 1 freq
maara (2) - 1 freq
makar (0) - 98 freq
maker (1) - 18 freq
maaker (2) - 1 freq
makars (2) - 81 freq
makan (2) - 21 freq
makar' (2) - 1 freq
'makar (2) - 1 freq
makkar (2) - 3 freq
maak (3) - 21 freq
manor (3) - 4 freq
marker (3) - 11 freq
moar (3) - 3 freq
raker (3) - 2 freq
makker (3) - 7 freq
mak (3) - 2597 freq
makik (3) - 1 freq
makie (3) - 2 freq
make (3) - 649 freq
makers (3) - 8 freq
maken (3) - 3 freq
mar (3) - 16 freq
maked (3) - 1 freq
maakan (3) - 4 freq
maner (3) - 4 freq
maskara (3) - 1 freq
SoundEx code - M260
measure - 27 freq
meesure - 2 freq
makar - 98 freq
major - 109 freq
misery - 31 freq
maker - 18 freq
mascara - 3 freq
meesery - 5 freq
mixer - 5 freq
maugre - 34 freq
mucker - 11 freq
meisure - 20 freq
moger - 1 freq
'major - 1 freq
mcguire - 4 freq
meisur - 18 freq
mockery - 9 freq
meagre - 9 freq
maigre - 1 freq
mauger - 8 freq
machair - 3 freq
mowser - 12 freq
micro - 3 freq
mckerrow - 2 freq
makker - 7 freq
makar' - 1 freq
maisser - 1 freq
majer - 1 freq
mayjer - 1 freq
misure - 8 freq
m'grew - 1 freq
makeower - 1 freq
meissure - 1 freq
micra - 1 freq
masseur - 2 freq
maguire - 26 freq
miser - 4 freq
mazr - 1 freq
mizzour - 3 freq
miesjir - 1 freq
mouser - 3 freq
mizzer - 4 freq
mcr - 1 freq
'micro' - 3 freq
makkar - 3 freq
maaker - 1 freq
maeshur - 1 freq
mcgraw - 1 freq
missure - 1 freq
émigré - 1 freq
maskara - 1 freq
maisure - 1 freq
miserie - 5 freq
megara - 3 freq
macro - 2 freq
maager - 1 freq
'makar - 1 freq
meiserie - 1 freq
macrae - 5 freq
machar - 9 freq
miscarry - 2 freq
misyur - 1 freq
mcrae - 4 freq
mcwhir - 1 freq
macwhir - 1 freq
mcquarry - 2 freq
maisrie - 2 freq
measuir - 1 freq
mizzure - 1 freq
mjr - 23 freq
mccr - 1 freq
mikeyr - 1 freq
moocher - 2 freq
mogre - 1 freq
mcgerry - 1 freq
meysr - 1 freq
mjchr - 1 freq
macari - 1 freq
MetaPhone code - MKR
makar - 98 freq
maker - 18 freq
maugre - 34 freq
mucker - 11 freq
mockery - 9 freq
meagre - 9 freq
maigre - 1 freq
micro - 3 freq
mckerrow - 2 freq
makker - 7 freq
makar' - 1 freq
m'grew - 1 freq
micra - 1 freq
maguire - 26 freq
mcr - 1 freq
'micro' - 3 freq
makkar - 3 freq
maaker - 1 freq
émigré - 1 freq
megara - 3 freq
macro - 2 freq
'makar - 1 freq
macrae - 5 freq
mcrae - 4 freq
mikeyr - 1 freq
mogre - 1 freq
macari - 1 freq
MAKAR
mak - 2597 freq
maker - 18 freq
make - 649 freq
maks - 639 freq
makes - 189 freq
made - 2115 freq
makar - 98 freq
makkin - 612 freq
makin - 450 freq
makk - 89 freq
makkit - 109 freq
makit - 41 freq
Time to execute Levenshtein function - 0.203087 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 - 0.331514 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 - 0.027316 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 - 0.037459 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 - 0.000996 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.