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 murphy in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
murphy (0) - 27 freq
murray (2) - 96 freq
mumph (2) - 1 freq
murky (2) - 10 freq
mushy (2) - 7 freq
muithy (2) - 1 freq
dumphy (2) - 50 freq
marshy (2) - 3 freq
furthy (2) - 1 freq
morph (2) - 1 freq
humphy (2) - 52 freq
murfy (2) - 1 freq
curry (3) - 30 freq
morphed (3) - 1 freq
mueh (3) - 1 freq
myrh (3) - 1 freq
pulpy (3) - 1 freq
murmur (3) - 6 freq
marky (3) - 1 freq
hurly (3) - 4 freq
much- (3) - 2 freq
ury (3) - 2 freq
surely (3) - 179 freq
murder (3) - 85 freq
muchly (3) - 2 freq
murphy (0) - 27 freq
morph (2) - 1 freq
mumph (3) - 1 freq
marshy (3) - 3 freq
mph (4) - 2 freq
mrp (4) - 1 freq
march (4) - 138 freq
martha (4) - 7 freq
marsh (4) - 8 freq
mirth (4) - 10 freq
marcha (4) - 1 freq
mmph (4) - 2 freq
merch (4) - 43 freq
atrophy (4) - 1 freq
trophy (4) - 15 freq
marche (4) - 1 freq
myrrh (4) - 10 freq
marple (4) - 2 freq
mareh (4) - 3 freq
muithy (4) - 1 freq
murray (4) - 96 freq
morphed (4) - 1 freq
dumphy (4) - 50 freq
murfy (4) - 1 freq
humphy (4) - 52 freq
SoundEx code - M610
murphy - 27 freq
mirabeau - 1 freq
€™marv - 1 freq
marv - 3 freq
morph - 1 freq
murfy - 1 freq
mrp - 1 freq
MetaPhone code - MRF
murphy - 27 freq
€™marv - 1 freq
marv - 3 freq
morph - 1 freq
murfy - 1 freq
MURPHY
Time to execute Levenshtein function - 0.209271 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 - 0.315502 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 - 0.026888 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 - 0.036482 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 - 0.000866 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.