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 queenamoan in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
queenamoan (0) - 1 freq
queestion (4) - 17 freq
queens (5) - 40 freq
queestions (5) - 4 freq
bemoan (5) - 1 freq
een-an (5) - 1 freq
queen-it (5) - 1 freq
belnamore (5) - 3 freq
gweedman (5) - 3 freq
queelrods (5) - 3 freq
eendoun (5) - 2 freq
teename (5) - 1 freq
queen (5) - 643 freq
queenie (5) - 3 freq
squeakan (5) - 2 freq
sweengan (5) - 2 freq
opeenian (5) - 1 freq
teeman (5) - 2 freq
screaman (5) - 5 freq
henman (5) - 1 freq
belnagoak (5) - 1 freq
queenis (5) - 1 freq
steenmason (5) - 1 freq
gleaman (5) - 1 freq
breedman (5) - 1 freq
queenamoan (0) - 1 freq
penman (6) - 1 freq
quentin (6) - 6 freq
henman (6) - 1 freq
queestion (6) - 17 freq
queen' (7) - 1 freq
weengan (7) - 1 freq
cinnamon (7) - 5 freq
neemeen (7) - 1 freq
opeenion (7) - 32 freq
queeryin (7) - 1 freq
queenies (7) - 1 freq
cumoan (7) - 2 freq
queen'd (7) - 1 freq
queen- (7) - 1 freq
naaman (7) - 2 freq
seemon (7) - 17 freq
eenan (7) - 1 freq
undoan (7) - 2 freq
eamonn (7) - 9 freq
peengan (7) - 1 freq
bukeman (7) - 1 freq
steaman (7) - 2 freq
namin (7) - 7 freq
wutnman (7) - 1 freq
SoundEx code - Q555
queenamoan - 1 freq
MetaPhone code - KNMN
canmnae - 1 freq
queenamoan - 1 freq
con-man - 1 freq
ken-me-na - 1 freq
QUEENAMOAN
Time to execute Levenshtein function - 0.237300 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 - 0.415818 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 - 0.029394 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 - 0.039352 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 - 0.000942 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.