A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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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
horner (1) - 2 freq
orrer (1) - 1 freq
horror (1) - 50 freq
horrur (1) - 2 freq
corer (2) - 1 freq
hordes (2) - 1 freq
order (2) - 278 freq
nerrer (2) - 2 freq
corner (2) - 324 freq
horsed (2) - 3 freq
horse' (2) - 1 freq
hotter (2) - 8 freq
hozier (2) - 1 freq
yorker (2) - 1 freq
poorer (2) - 5 freq
hoker (2) - 1 freq
hooler (2) - 1 freq
herber (2) - 5 freq
howder (2) - 1 freq
horde (2) - 2 freq
forder (2) - 97 freq
harder (2) - 67 freq
horse (2) - 237 freq
horrer (0) - 1 freq
horrur (1) - 2 freq
horror (1) - 50 freq
harrier (2) - 2 freq
horter (2) - 1 freq
horner (2) - 2 freq
orrer (2) - 1 freq
worrier (3) - 1 freq
herer (3) - 1 freq
harper (3) - 3 freq
ferrer (3) - 8 freq
narrer (3) - 2 freq
horro (3) - 1 freq
horrors (3) - 18 freq
farrer (3) - 27 freq
herder (3) - 3 freq
horrid (3) - 9 freq
hearer (3) - 1 freq
hoarder (3) - 2 freq
hirer (3) - 2 freq
hornier (3) - 1 freq
harder (3) - 67 freq
hermer (3) - 1 freq
horreed (3) - 1 freq
herber (3) - 5 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 - 0.217928 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 - 0.408650 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 - 0.027808 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 - 0.037244 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 - 0.000935 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.