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 hezron in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hezron (0) - 7 freq
heron (1) - 13 freq
herons (2) - 3 freq
hearin (2) - 174 freq
heroin (2) - 5 freq
hero (2) - 81 freq
eiron (2) - 1 freq
hermon (2) - 1 freq
heaton (2) - 1 freq
herin (2) - 2 freq
heros (2) - 1 freq
hearan (2) - 14 freq
heirin (2) - 2 freq
heero (2) - 1 freq
heeren (2) - 2 freq
heerin (2) - 3 freq
herod (2) - 49 freq
heston (2) - 1 freq
hendron (2) - 2 freq
herrin (2) - 23 freq
byron (3) - 9 freq
devon (3) - 4 freq
heelan (3) - 7 freq
tynron (3) - 1 freq
renton (3) - 4 freq
hezron (0) - 7 freq
heron (2) - 13 freq
hearan (3) - 14 freq
heirin (3) - 2 freq
herrin (3) - 23 freq
herin (3) - 2 freq
heerin (3) - 3 freq
heeren (3) - 2 freq
hearin (3) - 174 freq
heroin (3) - 5 freq
hurin (4) - 1 freq
heezin (4) - 32 freq
heizin (4) - 15 freq
herein (4) - 7 freq
hurrin (4) - 1 freq
hairin (4) - 3 freq
ahern (4) - 1 freq
herrien (4) - 1 freq
hizin (4) - 7 freq
hzr (4) - 1 freq
hirin (4) - 3 freq
harn (4) - 3 freq
hoarn (4) - 1 freq
heazin (4) - 1 freq
heroine (4) - 6 freq
SoundEx code - H265
huggerin - 1 freq
huggery-muggery - 1 freq
hezron - 7 freq
haycorns - 13 freq
haycorn - 2 freq
hie-groond - 1 freq
hugger-mugger - 1 freq
houseroom - 1 freq
hawickremember - 9 freq
hcurmi - 1 freq
hhkrymesap - 1 freq
hoosiermama - 1 freq
MetaPhone code - HSRN
hezron - 7 freq
HEZRON
Time to execute Levenshtein function - 0.473874 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 - 0.914336 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 - 0.027461 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 - 0.095312 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 - 0.000754 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.