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 onyman in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
onyman (0) - 1 freq
onywan (1) - 19 freq
onymare (2) - 2 freq
anywan (2) - 28 freq
styman (2) - 1 freq
onymair (2) - 38 freq
onyway (2) - 22 freq
ongan (2) - 2 freq
onyin (2) - 1 freq
onyhin (2) - 23 freq
ongaan (2) - 1 freq
onyday (2) - 1 freq
onyyin (2) - 1 freq
con-man (2) - 1 freq
flyman (2) - 5 freq
ony-ean (2) - 7 freq
cayman (2) - 1 freq
oman (2) - 2 freq
onyeen (2) - 14 freq
wyman (2) - 1 freq
onyane (2) - 13 freq
oilman (2) - 1 freq
wan-man (3) - 1 freq
oan (3) - 6040 freq
glydan (3) - 1 freq
onyman (0) - 1 freq
onywan (2) - 19 freq
oman (3) - 2 freq
cayman (3) - 1 freq
ony-ean (3) - 7 freq
onyeen (3) - 14 freq
onyane (3) - 13 freq
nomin (3) - 1 freq
namin (3) - 7 freq
naaman (3) - 2 freq
onyyin (3) - 1 freq
wyman (3) - 1 freq
oilman (3) - 1 freq
onymare (3) - 2 freq
onymair (3) - 38 freq
anywan (3) - 28 freq
onyin (3) - 1 freq
ongan (3) - 2 freq
onyhin (3) - 23 freq
ongaan (3) - 1 freq
nymy (4) - 1 freq
animal (4) - 101 freq
andean (4) - 1 freq
omen (4) - 5 freq
i'man (4) - 1 freq
SoundEx code - O555
on-an-on - 1 freq
on-mannan - 1 freq
onyman - 1 freq
omainnin - 3 freq
MetaPhone code - ONMN
onyman - 1 freq
ONYMAN
Time to execute Levenshtein function - 0.229713 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 - 0.350958 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 - 0.028309 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 - 0.037439 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 - 0.000914 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.