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 millionare in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
millionare (0) - 1 freq
millionaire (1) - 7 freq
millionaires (2) - 5 freq
millionaros (2) - 2 freq
millionth (3) - 3 freq
millions (3) - 66 freq
millionaire's (3) - 1 freq
millionaires' (3) - 1 freq
missionary (3) - 6 freq
millimetre (3) - 1 freq
millitary (3) - 1 freq
million (3) - 156 freq
midsionary (3) - 1 freq
willnae (4) - 101 freq
billiard (4) - 1 freq
billions (4) - 7 freq
williame (4) - 1 freq
pollinate (4) - 1 freq
billion (4) - 34 freq
illusionary (4) - 1 freq
mullion (4) - 1 freq
'million' (4) - 1 freq
dictionar (4) - 95 freq
wilinae (4) - 1 freq
millport (4) - 1 freq
millionare (0) - 1 freq
millionaire (1) - 7 freq
millionaros (3) - 2 freq
millionaires (3) - 5 freq
millitary (4) - 1 freq
million (4) - 156 freq
millions (4) - 66 freq
meillion (5) - 1 freq
mullion (5) - 1 freq
milling (5) - 1 freq
millins (5) - 1 freq
millar (5) - 11 freq
millin (5) - 6 freq
millimetre (5) - 1 freq
missionary (5) - 6 freq
millionaire's (5) - 1 freq
millionth (5) - 3 freq
midsionary (5) - 1 freq
millionaires' (5) - 1 freq
mullin (6) - 3 freq
millenia (6) - 3 freq
millie (6) - 5 freq
military (6) - 43 freq
billions (6) - 7 freq
'millions (6) - 2 freq
SoundEx code - M456
millionaires - 5 freq
millionaires' - 1 freq
millionaire - 7 freq
meelmore - 1 freq
millionaire's - 1 freq
mell-moorin - 1 freq
millionare - 1 freq
millionaros - 2 freq
MetaPhone code - MLNR
millionaire - 7 freq
millionare - 1 freq
MILLIONARE
Time to execute Levenshtein function - 0.306060 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 - 0.635483 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 - 0.036813 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 - 0.099563 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 - 0.000860 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.