A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to muffled in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
muffled (0) - 18 freq
ruffled (1) - 4 freq
muffler (1) - 1 freq
muffed (1) - 1 freq
muffle (1) - 4 freq
mumbled (2) - 6 freq
mungled (2) - 1 freq
fuffle (2) - 1 freq
fuffed (2) - 1 freq
muddled (2) - 4 freq
mufflelt (2) - 1 freq
mummled (2) - 11 freq
reffled (2) - 2 freq
mufflin (2) - 2 freq
cuffed (2) - 1 freq
tuffed (2) - 1 freq
ruffles (2) - 1 freq
murled (2) - 1 freq
puffed (2) - 18 freq
duffle (2) - 2 freq
waffled (2) - 1 freq
raffled (2) - 2 freq
bumfled (2) - 1 freq
guffed (2) - 4 freq
miffed (2) - 4 freq
muffled (0) - 18 freq
muffed (2) - 1 freq
muffle (2) - 4 freq
muffler (2) - 1 freq
ruffled (2) - 4 freq
mufflin (3) - 2 freq
miffed (3) - 4 freq
waffled (3) - 1 freq
reffled (3) - 2 freq
raffled (3) - 2 freq
baffled (3) - 4 freq
snuffled (4) - 1 freq
guffed (4) - 4 freq
mulled (4) - 2 freq
nuffield (4) - 3 freq
buffed (4) - 1 freq
purfled (4) - 1 freq
bumfled (4) - 1 freq
huffed (4) - 3 freq
ruffle (4) - 5 freq
shuffled (4) - 11 freq
murmled (4) - 5 freq
muffet (4) - 5 freq
fuffed (4) - 1 freq
muddled (4) - 4 freq
SoundEx code - M143
muffled - 18 freq
mobility - 6 freq
mayfield - 3 freq
mayfieldtait - 1 freq
MetaPhone code - MFLT
muffled - 18 freq
mayfield - 3 freq
MUFFLED
Time to execute Levenshtein function - 0.196318 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 - 0.358087 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 - 0.027685 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 - 0.038997 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 - 0.000843 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.