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 hermer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hermer (0) - 1 freq
fermer (1) - 194 freq
herder (1) - 3 freq
hermed (1) - 2 freq
hermes (1) - 7 freq
herber (1) - 5 freq
hemmer (1) - 21 freq
herer (1) - 1 freq
warmer (2) - 25 freq
heroes (2) - 39 freq
fermed (2) - 10 freq
hersef (2) - 1 freq
nerrer (2) - 2 freq
herman (2) - 1 freq
herm's (2) - 3 freq
heeter (2) - 9 freq
heifer (2) - 5 freq
beamer (2) - 12 freq
server (2) - 2 freq
here' (2) - 3 freq
helter (2) - 3 freq
beemer (2) - 2 freq
firmer (2) - 4 freq
herted (2) - 6 freq
hemmed (2) - 3 freq
hermer (0) - 1 freq
herber (2) - 5 freq
herer (2) - 1 freq
hermes (2) - 7 freq
hemmer (2) - 21 freq
fermer (2) - 194 freq
hermed (2) - 2 freq
herder (2) - 3 freq
hummer (3) - 2 freq
hammer (3) - 44 freq
former (3) - 40 freq
heirder (3) - 1 freq
dormer (3) - 2 freq
homer (3) - 1 freq
hermin (3) - 2 freq
hirer (3) - 2 freq
murmer (3) - 2 freq
charmer (3) - 3 freq
herm (3) - 51 freq
herbor (3) - 1 freq
hermfu (3) - 3 freq
herbeur (3) - 1 freq
harper (3) - 3 freq
horner (3) - 2 freq
hermon (3) - 1 freq
SoundEx code - H656
hermer - 1 freq
horner - 2 freq
horn-rimmed - 1 freq
hornier - 1 freq
harnwirkers - 1 freq
MetaPhone code - HRMR
hermer - 1 freq
HERMER
Time to execute Levenshtein function - 0.238262 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 - 0.366323 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 - 0.028056 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 - 0.037736 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 - 0.000991 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.