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 ianuare in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ianuare (0) - 1 freq
januar (2) - 34 freq
january (2) - 67 freq
fanfare (2) - 6 freq
manure (2) - 10 freq
mature (3) - 17 freq
haare (3) - 1 freq
anhere (3) - 1 freq
lanyard (3) - 1 freq
in'ae (3) - 13 freq
manuals (3) - 2 freq
impure (3) - 1 freq
pianae (3) - 7 freq
cantar (3) - 1 freq
vanguard (3) - 5 freq
canary (3) - 14 freq
language (3) - 1435 freq
invade (3) - 5 freq
landart (3) - 2 freq
hansard (3) - 3 freq
anurr (3) - 4 freq
nare (3) - 1 freq
inquire (3) - 4 freq
manual (3) - 6 freq
incase (3) - 11 freq
ianuare (0) - 1 freq
nare (3) - 1 freq
anar (3) - 1 freq
manure (3) - 10 freq
januar (3) - 34 freq
january (3) - 67 freq
nuir (4) - 1 freq
tenure (4) - 4 freq
incore (4) - 2 freq
nature (4) - 113 freq
insure (4) - 2 freq
inane (4) - 2 freq
aware (4) - 61 freq
manere (4) - 2 freq
anr (4) - 1 freq
ansar (4) - 1 freq
afoare (4) - 1 freq
nar (4) - 15 freq
anae (4) - 1 freq
anymare (4) - 17 freq
narie (4) - 1 freq
oantae (4) - 99 freq
intae (4) - 4690 freq
aname (4) - 1 freq
injure (4) - 8 freq
SoundEx code - I560
inower - 10 freq
inner - 46 freq
immer - 2 freq
in-ower - 1 freq
innywhaur - 1 freq
i'winner - 1 freq
i'mower - 1 freq
i'mair - 1 freq
ianuare - 1 freq
innoyer - 1 freq
imrie - 1 freq
ianmaher - 1 freq
MetaPhone code - INR
inner - 46 freq
ianuare - 1 freq
IANUARE
Time to execute Levenshtein function - 0.230359 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 - 0.390735 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 - 0.028911 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 - 0.039308 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 - 0.004144 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.