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 hitsel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hitsel (0) - 13 freq
hetsel (1) - 1 freq
hissel (1) - 371 freq
hidsel (1) - 7 freq
itsel (1) - 476 freq
hirsel (1) - 119 freq
himsel (1) - 863 freq
hisel (1) - 18 freq
hinsel (1) - 1 freq
hizsel (1) - 1 freq
yirsel (2) - 89 freq
hisses (2) - 4 freq
itsel' (2) - 3 freq
himsael (2) - 4 freq
hits (2) - 150 freq
hursel (2) - 16 freq
hissen (2) - 1 freq
hither (2) - 6 freq
hotses (2) - 1 freq
hessel (2) - 9 freq
itself (2) - 23 freq
ainsel (2) - 2 freq
diesel (2) - 6 freq
issel (2) - 1 freq
ahimsel (2) - 1 freq
hitsel (0) - 13 freq
hetsel (1) - 1 freq
hisel (2) - 18 freq
himsel (2) - 863 freq
hizsel (2) - 1 freq
hinsel (2) - 1 freq
hirsel (2) - 119 freq
hissel (2) - 371 freq
hidsel (2) - 7 freq
itsel (2) - 476 freq
hotel (3) - 99 freq
hessel (3) - 9 freq
humsel (3) - 3 freq
hersel (3) - 1059 freq
hotses (3) - 1 freq
hansel (3) - 16 freq
harsel (3) - 1 freq
itsael (3) - 1 freq
ahimsel (3) - 1 freq
hursel (3) - 16 freq
himsael (3) - 4 freq
hits (3) - 150 freq
httle (4) - 1 freq
hisell (4) - 2 freq
hit'll (4) - 14 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
itsel - 476 freq
itself - 23 freq
itsell - 16 freq
hitsel - 13 freq
Time to execute Levenshtein function - 0.185171 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 - 0.348368 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 - 0.027643 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 - 0.039835 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 - 0.000906 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.