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 jotunhiemen in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
jotunhiemen (0) - 1 freq
countriemen (4) - 1 freq
rothiemay (5) - 1 freq
jondeen (5) - 3 freq
countrymen (5) - 1 freq
dounhauden (5) - 3 freq
bottlemen (5) - 1 freq
foundiment (5) - 1 freq
stuneen (5) - 1 freq
stuntmen (5) - 1 freq
notheen (5) - 41 freq
rothiemoon (5) - 3 freq
moniement (5) - 1 freq
jaundice (6) - 3 freq
bothied (6) - 2 freq
scythemen (6) - 2 freq
bountifae (6) - 1 freq
judgement (6) - 20 freq
moth-etten (6) - 1 freq
onhin (6) - 2 freq
lounerin (6) - 1 freq
notnixon (6) - 2 freq
mathieson (6) - 18 freq
tuimin (6) - 2 freq
oonbidden (6) - 1 freq
jotunhiemen (0) - 1 freq
rothiemoon (7) - 3 freq
stuntmen (7) - 1 freq
stane-men (8) - 1 freq
jondeen (8) - 3 freq
jotham (8) - 4 freq
dutchmen (8) - 1 freq
watchmen (8) - 1 freq
notheen (8) - 41 freq
countriemen (8) - 1 freq
rothiemay (8) - 1 freq
bottlemen (8) - 1 freq
dounhauden (8) - 3 freq
journeyman (8) - 2 freq
stuneen (8) - 1 freq
journeysman (8) - 1 freq
johannine (9) - 1 freq
watchman (9) - 1 freq
witnessmen (9) - 1 freq
stonehaven (9) - 11 freq
steenhaven (9) - 1 freq
tunkin (9) - 1 freq
nothin (9) - 194 freq
southern (9) - 16 freq
juntherin (9) - 3 freq
SoundEx code - J355
jotunhiemen - 1 freq
MetaPhone code - JTNHMN
jotunhiemen - 1 freq
JOTUNHIEMEN
Time to execute Levenshtein function - 0.218789 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 - 0.409796 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 - 0.028232 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 - 0.038528 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 - 0.000930 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.