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 mirrors in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mirrors (0) - 25 freq
mirror' (1) - 1 freq
mirrort (1) - 1 freq
mirror's (1) - 1 freq
mirror (1) - 117 freq
mirrored (2) - 7 freq
'mirror (2) - 1 freq
mirras (2) - 2 freq
minors (2) - 1 freq
errors (2) - 7 freq
marros (2) - 1 freq
marrows (2) - 1 freq
mirror'd (2) - 1 freq
microns (2) - 1 freq
mirrens (2) - 1 freq
horrors (2) - 18 freq
mirrir (2) - 1 freq
mirrorin (2) - 1 freq
merro's (2) - 1 freq
morrows (2) - 1 freq
terrors (2) - 3 freq
misers (3) - 1 freq
yarrows (3) - 1 freq
misters (3) - 1 freq
currots (3) - 1 freq
mirrors (0) - 25 freq
mirror' (2) - 1 freq
mirror's (2) - 1 freq
mirror (2) - 117 freq
mirrort (2) - 1 freq
mirrorin (3) - 1 freq
mirrir (3) - 1 freq
merro's (3) - 1 freq
mirrens (3) - 1 freq
terrors (3) - 3 freq
morrows (3) - 1 freq
horrors (3) - 18 freq
mirras (3) - 2 freq
mirrored (3) - 7 freq
marros (3) - 1 freq
errors (3) - 7 freq
marrows (3) - 1 freq
mairtyrs (4) - 2 freq
murmurs (4) - 2 freq
marris (4) - 2 freq
werrers (4) - 1 freq
meirrour (4) - 4 freq
merkers (4) - 1 freq
warriors (4) - 20 freq
morris (4) - 14 freq
SoundEx code - M662
mirrors - 25 freq
mararyk - 2 freq
mirror's - 1 freq
mirror-stand - 1 freq
mrharrycole - 1 freq
MetaPhone code - MRRS
mirrors - 25 freq
mirror's - 1 freq
MIRRORS
Time to execute Levenshtein function - 0.213753 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 - 0.364299 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 - 0.027105 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 - 0.037081 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 - 0.000954 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.