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 hopefu in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hopefu (0) - 11 freq
hopefou (1) - 1 freq
hopeful (1) - 10 freq
shopfu (2) - 1 freq
howpfu (2) - 20 freq
hope (2) - 769 freq
hoped (2) - 42 freq
foefu (2) - 1 freq
hope- (2) - 1 freq
hopein (2) - 1 freq
hopes (2) - 39 freq
hopen (2) - 1 freq
hatefu (2) - 5 freq
hope't (2) - 1 freq
opef (2) - 1 freq
doped (3) - 2 freq
opera (3) - 11 freq
minefu (3) - 1 freq
home' (3) - 2 freq
honeat (3) - 1 freq
hertfu (3) - 1 freq
tyrefu (3) - 1 freq
nope (3) - 18 freq
heu (3) - 1 freq
moped (3) - 1 freq
hopefu (0) - 11 freq
hopefou (1) - 1 freq
hopeful (2) - 10 freq
hopes (3) - 39 freq
hopein (3) - 1 freq
hatefu (3) - 5 freq
hope- (3) - 1 freq
hopen (3) - 1 freq
opef (3) - 1 freq
shopfu (3) - 1 freq
hope (3) - 769 freq
howpfu (3) - 20 freq
hoped (3) - 42 freq
hype (4) - 6 freq
howif (4) - 1 freq
hoopful (4) - 3 freq
heedfu (4) - 1 freq
hoof (4) - 15 freq
hopp (4) - 5 freq
hopt (4) - 1 freq
helpfu (4) - 21 freq
hopin (4) - 85 freq
hopit (4) - 6 freq
hppyu (4) - 1 freq
hyper (4) - 4 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 - 0.170523 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 - 0.318799 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 - 0.027080 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 - 0.036561 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 - 0.000899 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.