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 penel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
penel (0) - 106 freq
penal (1) - 5 freq
peel (1) - 41 freq
panel (1) - 29 freq
pened (1) - 1 freq
pensel (1) - 1 freq
penels (1) - 7 freq
bene (2) - 106 freq
kene (2) - 1 freq
feel (2) - 1275 freq
fennel (2) - 1 freq
pents (2) - 5 freq
denee (2) - 1 freq
tencel (2) - 1 freq
peed (2) - 6 freq
pensell (2) - 2 freq
pavel (2) - 1 freq
pens (2) - 30 freq
peges (2) - 1 freq
peelt (2) - 1 freq
kennel (2) - 11 freq
enew (2) - 2 freq
rebel (2) - 26 freq
pees (2) - 2 freq
pege (2) - 2 freq
penel (0) - 106 freq
panel (1) - 29 freq
penal (1) - 5 freq
penels (2) - 7 freq
pensel (2) - 1 freq
poneil (2) - 3 freq
pened (2) - 1 freq
peel (2) - 41 freq
peril (3) - 7 freq
pele (3) - 17 freq
panels (3) - 15 freq
panes (3) - 9 freq
peal (3) - 3 freq
pecl (3) - 1 freq
pyne (3) - 25 freq
panet (3) - 1 freq
penga (3) - 4 freq
pynes (3) - 8 freq
penim (3) - 1 freq
pen' (3) - 1 freq
pell (3) - 4 freq
pael (3) - 2 freq
penny (3) - 130 freq
pyned (3) - 1 freq
pence (3) - 63 freq
SoundEx code - P540
pummel - 4 freq
panel - 29 freq
penal - 5 freq
pamela - 1 freq
phanuel - 2 freq
pomleywee - 1 freq
penel - 106 freq
panoal - 1 freq
pommel - 1 freq
poneil - 3 freq
pennywell - 1 freq
MetaPhone code - PNL
panel - 29 freq
penal - 5 freq
penel - 106 freq
panoal - 1 freq
poneil - 3 freq
PENEL
Time to execute Levenshtein function - 0.315882 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 - 0.583691 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 - 0.041689 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 - 0.086242 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 - 0.000881 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.