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 hitsel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hitsel (0) - 13 freq
hidsel (1) - 7 freq
hinsel (1) - 1 freq
hissel (1) - 371 freq
hetsel (1) - 1 freq
hisel (1) - 18 freq
hirsel (1) - 119 freq
himsel (1) - 852 freq
hizsel (1) - 1 freq
itsel (1) - 466 freq
himsael (2) - 4 freq
chisel (2) - 9 freq
diesel (2) - 6 freq
yirsel (2) - 79 freq
humsel (2) - 3 freq
idsel (2) - 3 freq
ïtsel (2) - 4 freq
thirsel (2) - 5 freq
miesel (2) - 1 freq
itsel' (2) - 2 freq
hither (2) - 6 freq
himself (2) - 98 freq
hitler (2) - 10 freq
hizzel (2) - 1 freq
himsel' (2) - 4 freq
hitsel (0) - 13 freq
hetsel (1) - 1 freq
himsel (2) - 852 freq
itsel (2) - 466 freq
hirsel (2) - 119 freq
hizsel (2) - 1 freq
hidsel (2) - 7 freq
hisel (2) - 18 freq
hinsel (2) - 1 freq
hissel (2) - 371 freq
hersel (3) - 1057 freq
hansel (3) - 16 freq
hursel (3) - 14 freq
hits (3) - 145 freq
itsael (3) - 1 freq
ahimsel (3) - 1 freq
hessel (3) - 9 freq
harsel (3) - 1 freq
humsel (3) - 3 freq
himsael (3) - 4 freq
hotses (3) - 1 freq
hotel (3) - 91 freq
hissell (4) - 55 freq
itssel (4) - 15 freq
itself (4) - 23 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
HITSEL
Time to execute Levenshtein function - 0.192389 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 - 0.418745 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 - 0.031738 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 - 0.044568 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 - 0.000798 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.