A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

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

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to misery in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
misery (0) - 31 freq
mistry (1) - 2 freq
miserly (1) - 1 freq
mistery (1) - 1 freq
misers (1) - 1 freq
miser (1) - 4 freq
mister- (2) - 1 freq
mixer (2) - 5 freq
maistery (2) - 1 freq
miners (2) - 41 freq
mixers (2) - 1 freq
mystery (2) - 72 freq
uiser (2) - 5 freq
wiser (2) - 26 freq
meistery (2) - 1 freq
ivery (2) - 188 freq
finery (2) - 5 freq
uisers (2) - 17 freq
misel (2) - 14 freq
missy (2) - 3 freq
mitey (2) - 2 freq
wisely (2) - 8 freq
mosely (2) - 2 freq
mirry (2) - 8 freq
mibey (2) - 1 freq
misery (0) - 31 freq
miser (1) - 4 freq
misure (2) - 8 freq
meesery (2) - 5 freq
miserie (2) - 5 freq
mistry (2) - 2 freq
mistery (2) - 1 freq
misers (2) - 1 freq
miserly (2) - 1 freq
meisure (3) - 20 freq
mirry (3) - 8 freq
maisure (3) - 1 freq
mister (3) - 84 freq
mise (3) - 1 freq
misyur (3) - 1 freq
meiserie (3) - 1 freq
meisur (3) - 18 freq
mosely (3) - 2 freq
maistry (3) - 1 freq
misty (3) - 15 freq
miner (3) - 7 freq
uiser (3) - 5 freq
wiser (3) - 26 freq
mouser (3) - 3 freq
maistery (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 - MSR
measure - 27 freq
meesure - 2 freq
misery - 31 freq
meesery - 5 freq
meisure - 20 freq
meisur - 18 freq
mowser - 12 freq
maisser - 1 freq
misure - 8 freq
meissure - 1 freq
masseur - 2 freq
miser - 4 freq
mazr - 1 freq
mizzour - 3 freq
mouser - 3 freq
mizzer - 4 freq
missure - 1 freq
maisure - 1 freq
miserie - 5 freq
meiserie - 1 freq
maisrie - 2 freq
measuir - 1 freq
mizzure - 1 freq
meysr - 1 freq
MISERY
Time to execute Levenshtein function - 0.192067 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 - 0.370598 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 - 0.030057 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 - 0.039181 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 - 0.000876 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.