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 hurls in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hurls (0) - 4 freq
hulls (1) - 9 freq
burls (1) - 5 freq
huls (1) - 6 freq
hurl (1) - 64 freq
whurls (1) - 1 freq
hures (1) - 2 freq
hurla (1) - 1 freq
gurls (1) - 1 freq
hurly (1) - 4 freq
curls (1) - 37 freq
hurs (1) - 4 freq
hurts (1) - 17 freq
huils (1) - 5 freq
hurlt (1) - 3 freq
whirls (2) - 3 freq
hurin (2) - 1 freq
hirs (2) - 5 freq
hus (2) - 464 freq
ours (2) - 16 freq
pulls (2) - 61 freq
pirls (2) - 4 freq
hulks (2) - 4 freq
huills (2) - 1 freq
hulk (2) - 4 freq
hurls (0) - 4 freq
hurs (2) - 4 freq
curls (2) - 37 freq
hurts (2) - 17 freq
hurlt (2) - 3 freq
hulls (2) - 9 freq
hurlies (2) - 1 freq
hurly (2) - 4 freq
huils (2) - 5 freq
gurls (2) - 1 freq
burls (2) - 5 freq
hurl (2) - 64 freq
huls (2) - 6 freq
hurla (2) - 1 freq
whurls (2) - 1 freq
hures (2) - 2 freq
harns (3) - 52 freq
barls (3) - 1 freq
hls (3) - 1 freq
hurlit (3) - 1 freq
hurlin (3) - 21 freq
hols (3) - 6 freq
birls (3) - 31 freq
hurdles (3) - 1 freq
houls (3) - 10 freq
SoundEx code - H642
hurls - 4 freq
hirlsel - 1 freq
horrals - 1 freq
hurlies - 1 freq
harlequin - 3 freq
hurlygush - 1 freq
hairless - 2 freq
hairyollies - 2 freq
MetaPhone code - HRLS
hurls - 4 freq
horrals - 1 freq
hurlies - 1 freq
hairless - 2 freq
HURLS
Time to execute Levenshtein function - 0.541658 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 - 1.090689 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 - 0.068243 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 - 0.044221 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 - 0.000905 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.