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 hopefu in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hopefu (0) - 11 freq
hopefou (1) - 1 freq
hopeful (1) - 10 freq
hatefu (2) - 5 freq
hope- (2) - 1 freq
shopfu (2) - 1 freq
foefu (2) - 1 freq
hopein (2) - 1 freq
hope (2) - 756 freq
hopen (2) - 1 freq
hope't (2) - 1 freq
hopes (2) - 37 freq
opef (2) - 1 freq
howpfu (2) - 20 freq
hoped (2) - 42 freq
hopefully (3) - 59 freq
rope's (3) - 1 freq
roped (3) - 1 freq
hop (3) - 13 freq
holey (3) - 4 freq
choped (3) - 2 freq
hooped (3) - 1 freq
howfs (3) - 6 freq
home (3) - 273 freq
honeat (3) - 1 freq
hopefu (0) - 11 freq
hopefou (1) - 1 freq
hopeful (2) - 10 freq
hopes (3) - 37 freq
hopen (3) - 1 freq
hoped (3) - 42 freq
hope (3) - 756 freq
opef (3) - 1 freq
howpfu (3) - 20 freq
hopein (3) - 1 freq
hope- (3) - 1 freq
hatefu (3) - 5 freq
shopfu (3) - 1 freq
hype (4) - 6 freq
halpfu (4) - 1 freq
hopt (4) - 1 freq
howif (4) - 1 freq
hef (4) - 1 freq
hops (4) - 2 freq
houff (4) - 3 freq
hopit (4) - 2 freq
helpfu (4) - 21 freq
hof (4) - 1 freq
heedfu (4) - 1 freq
haunfu (4) - 8 freq
SoundEx code - H110
hopefu - 11 freq
hopefou - 1 freq
hiphop - 1 freq
hippy-hoppy - 1 freq
hip-hop - 1 freq
haaf-five - 1 freq
hyafwvby - 1 freq
MetaPhone code - HPF
howpfu - 20 freq
hopefu - 11 freq
howpfae - 1 freq
hopefou - 1 freq
howpfie - 1 freq
HOPEFU
Time to execute Levenshtein function - 0.171370 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 - 0.311103 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 - 0.027673 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 - 0.036657 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 - 0.000832 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.