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 hidsel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hidsel (0) - 7 freq
hitsel (1) - 13 freq
idsel (1) - 3 freq
himsel (1) - 852 freq
hissel (1) - 371 freq
hinsel (1) - 1 freq
hizsel (1) - 1 freq
hisel (1) - 18 freq
hirsel (1) - 119 freq
hansel (2) - 16 freq
harsel (2) - 1 freq
issel (2) - 1 freq
hizzel (2) - 1 freq
hisself (2) - 3 freq
hidey (2) - 2 freq
imsel (2) - 29 freq
missel (2) - 1 freq
hersel (2) - 1057 freq
thirsel (2) - 5 freq
himsel' (2) - 4 freq
hisses (2) - 3 freq
chisel (2) - 9 freq
himsell (2) - 6 freq
midse (2) - 1 freq
hissell (2) - 55 freq
hidsel (0) - 7 freq
hizsel (2) - 1 freq
hirsel (2) - 119 freq
hinsel (2) - 1 freq
hisel (2) - 18 freq
hissel (2) - 371 freq
idsel (2) - 3 freq
hitsel (2) - 13 freq
himsel (2) - 852 freq
humsel (3) - 3 freq
handsel (3) - 7 freq
hiddil (3) - 2 freq
hid'il (3) - 1 freq
diesel (3) - 6 freq
himsael (3) - 4 freq
hids (3) - 86 freq
hid'l (3) - 1 freq
ahimsel (3) - 1 freq
hursel (3) - 14 freq
hides (3) - 14 freq
hessel (3) - 9 freq
hetsel (3) - 1 freq
harsel (3) - 1 freq
hansel (3) - 16 freq
hersel (3) - 1057 freq
SoundEx code - H324
hetsel - 1 freq
hidsel - 7 freq
hitsel - 13 freq
headcollar - 1 freq
hatchlings - 1 freq
MetaPhone code - HTSL
hetsel - 1 freq
hidsel - 7 freq
hitsel - 13 freq
HIDSEL
Time to execute Levenshtein function - 0.209564 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 - 0.368981 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 - 0.026963 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 - 0.037226 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 - 0.000839 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.