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 hazer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hazelr (1) - 7 freq
haer (1) - 18 freq
haver (1) - 6 freq
razer (1) - 1 freq
hazel (1) - 51 freq
hater (1) - 2 freq
haze (1) - 20 freq
hape (2) - 3 freq
azor (2) - 4 freq
haur (2) - 1 freq
wafer (2) - 2 freq
raver (2) - 4 freq
hauler (2) - 1 freq
haaed (2) - 1 freq
hared (2) - 1 freq
haert (2) - 43 freq
faber (2) - 1 freq
hatter (2) - 279 freq
chaper (2) - 3 freq
humer (2) - 1 freq
hated (2) - 52 freq
maer (2) - 3 freq
haec (2) - 1 freq
hate (2) - 195 freq
naze (2) - 1 freq
hazelr (2) - 7 freq
hozier (2) - 1 freq
hzr (2) - 1 freq
hater (2) - 2 freq
haze (2) - 20 freq
haver (2) - 6 freq
haer (2) - 18 freq
razer (2) - 1 freq
hazel (2) - 51 freq
haaver (3) - 4 freq
hazle (3) - 1 freq
hair (3) - 902 freq
dizer (3) - 1 freq
homer (3) - 1 freq
hyper (3) - 4 freq
header (3) - 2 freq
haeter (3) - 2 freq
hazy (3) - 13 freq
hized (3) - 1 freq
eezer (3) - 1 freq
har (3) - 8 freq
hazard (3) - 2 freq
hoker (3) - 1 freq
tizer (3) - 3 freq
razor (3) - 14 freq
SoundEx code - H260
hjckrrh - 5 freq
heicher - 30 freq
higher - 79 freq
hawker - 1 freq
heecher - 1 freq
hooker - 4 freq
hasher - 1 freq
hicher - 1 freq
hozier - 1 freq
hickory - 3 freq
howker - 2 freq
hosiery - 2 freq
heigher - 1 freq
hussar - 2 freq
hegri - 1 freq
hoker - 1 freq
hcr - 2 freq
haegri - 1 freq
hzr - 1 freq
hawickrau - 6 freq
hagar - 1 freq
MetaPhone code - HSR
hozier - 1 freq
hosiery - 2 freq
hussar - 2 freq
HAZER
Time to execute Levenshtein function - 0.188040 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 - 0.371947 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 - 0.030144 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 - 0.039001 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 - 0.001025 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.