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 horrer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
horrer (0) - 1 freq
horter (1) - 1 freq
horror (1) - 50 freq
horrur (1) - 2 freq
horner (1) - 2 freq
orrer (1) - 1 freq
hooler (2) - 1 freq
narrer (2) - 2 freq
hornet (2) - 34 freq
former (2) - 40 freq
thorter (2) - 2 freq
hoover (2) - 18 freq
horne (2) - 2 freq
hordes (2) - 1 freq
worrier (2) - 1 freq
hozier (2) - 1 freq
holler (2) - 2 freq
horse' (2) - 1 freq
hooer (2) - 2 freq
hirer (2) - 2 freq
hearer (2) - 1 freq
hover (2) - 9 freq
hermer (2) - 1 freq
corner (2) - 324 freq
hornjer (2) - 1 freq
horrer (0) - 1 freq
horrur (1) - 2 freq
horror (1) - 50 freq
harrier (2) - 2 freq
orrer (2) - 1 freq
horter (2) - 1 freq
horner (2) - 2 freq
nerrer (3) - 2 freq
hirer (3) - 2 freq
hermer (3) - 1 freq
hearer (3) - 1 freq
harper (3) - 3 freq
horreed (3) - 1 freq
ferrer (3) - 8 freq
horrors (3) - 18 freq
herer (3) - 1 freq
horrid (3) - 9 freq
herder (3) - 3 freq
hoarder (3) - 2 freq
narrer (3) - 2 freq
hornier (3) - 1 freq
farrer (3) - 27 freq
harder (3) - 67 freq
herber (3) - 5 freq
worrier (3) - 1 freq
SoundEx code - H660
horror - 50 freq
herer - 1 freq
horrer - 1 freq
hirer - 2 freq
hairier - 2 freq
hearer - 1 freq
harrier - 2 freq
horrur - 2 freq
MetaPhone code - HRR
horror - 50 freq
herer - 1 freq
horrer - 1 freq
hirer - 2 freq
hairier - 2 freq
hearer - 1 freq
harrier - 2 freq
horrur - 2 freq
HORRER
Time to execute Levenshtein function - 0.194572 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 - 0.365981 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 - 0.028091 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 - 0.038090 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.