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 harp in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
harp (0) - 9 freq
harpa (1) - 4 freq
hark (1) - 15 freq
warp (1) - 9 freq
harps (1) - 1 freq
harr (1) - 2 freq
hart (1) - 28 freq
harl (1) - 5 freq
hare (1) - 199 freq
hrp (1) - 1 freq
harm (1) - 21 freq
hlrp (1) - 1 freq
hard (1) - 782 freq
har (1) - 8 freq
harz (1) - 1 freq
tarp (1) - 1 freq
happ (1) - 4 freq
hap (1) - 53 freq
hasp (1) - 2 freq
sharp (1) - 85 freq
halp (1) - 54 freq
carp (1) - 1 freq
harn (1) - 3 freq
hairp (1) - 5 freq
hari (1) - 1 freq
harp (0) - 9 freq
harpa (1) - 4 freq
hairp (1) - 5 freq
hrp (1) - 1 freq
hari (2) - 1 freq
carp (2) - 1 freq
sharp (2) - 85 freq
hasp (2) - 2 freq
halp (2) - 54 freq
haap (2) - 1 freq
hairpy (2) - 1 freq
hraip (2) - 1 freq
arp (2) - 1 freq
haip (2) - 7 freq
hap (2) - 53 freq
haep (2) - 13 freq
harn (2) - 3 freq
hart (2) - 28 freq
harl (2) - 5 freq
harr (2) - 2 freq
happ (2) - 4 freq
hark (2) - 15 freq
warp (2) - 9 freq
hare (2) - 199 freq
harps (2) - 1 freq
SoundEx code - H610
harp - 9 freq
hairp - 5 freq
hereby - 3 freq
herb - 2 freq
hairb - 1 freq
harvey - 5 freq
hrv - 1 freq
her've - 1 freq
harpa - 4 freq
hairfaa - 1 freq
hairpy - 1 freq
herbie - 11 freq
harvie - 3 freq
hrf - 1 freq
hraip - 1 freq
hrp - 1 freq
MetaPhone code - HRP
harp - 9 freq
hairp - 5 freq
harpa - 4 freq
hairpy - 1 freq
HARP
Time to execute Levenshtein function - 0.177464 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 - 0.336194 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 - 0.027070 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 - 0.036792 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 - 0.000842 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.