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 madman in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
madman (0) - 7 freq
madmen (1) - 1 freq
barman (2) - 25 freq
harman (2) - 1 freq
madram (2) - 1 freq
maan (2) - 153 freq
taxman (2) - 2 freq
wamman (2) - 1 freq
madden (2) - 3 freq
gazman (2) - 1 freq
fatman (2) - 1 freq
caiman (2) - 1 freq
madlad (2) - 1 freq
mamam (2) - 1 freq
magma (2) - 3 freq
roadman (2) - 3 freq
jakman (2) - 2 freq
mammal (2) - 2 freq
makan (2) - 21 freq
cayman (2) - 1 freq
hodman (2) - 1 freq
mamen (2) - 16 freq
mammon (2) - 6 freq
markan (2) - 1 freq
fadan (2) - 1 freq
madman (0) - 7 freq
madmen (1) - 1 freq
mammon (3) - 6 freq
madam (3) - 19 freq
roadman (3) - 3 freq
hodman (3) - 1 freq
mdma (3) - 3 freq
mamen (3) - 16 freq
madden (3) - 3 freq
madigan (3) - 1 freq
admin (3) - 5 freq
amadan (3) - 1 freq
midian (3) - 1 freq
moonman (4) - 2 freq
midden (4) - 92 freq
madainn (4) - 1 freq
mideen (4) - 1 freq
modern (4) - 149 freq
umman (4) - 15 freq
damn (4) - 73 freq
madampe (4) - 1 freq
maakan (4) - 4 freq
maiden (4) - 18 freq
madkeen (4) - 1 freq
moomin (4) - 1 freq
SoundEx code - M355
mydnins - 1 freq
madman - 7 freq
motionin - 1 freq
madmen - 1 freq
maidment - 2 freq
mid-nineteenth - 1 freq
maddening - 1 freq
madmentaltim - 2 freq
maddnin - 1 freq
MetaPhone code - MTMN
madman - 7 freq
madmen - 1 freq
MADMAN
Time to execute Levenshtein function - 0.182351 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 - 0.371636 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 - 0.029658 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 - 0.038962 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 - 0.000979 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.