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 onymare in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
onymare (0) - 2 freq
anymare (1) - 17 freq
onygate (2) - 1 freq
onyman (2) - 1 freq
anymaire (2) - 11 freq
anymore (2) - 14 freq
onymair (2) - 37 freq
onysake (2) - 1 freq
onyane (2) - 13 freq
onyways (3) - 5 freq
onyone (3) - 23 freq
onywan (3) - 19 freq
onywaly (3) - 1 freq
onlmaps (3) - 1 freq
onigate (3) - 1 freq
onboard (3) - 2 freq
neymar (3) - 1 freq
onyday (3) - 1 freq
onywyse (3) - 1 freq
othmar (3) - 1 freq
notare (3) - 1 freq
onyplace (3) - 4 freq
onytime (3) - 11 freq
unmade (3) - 5 freq
lyare (3) - 1 freq
onymare (0) - 2 freq
anymare (1) - 17 freq
anymaire (2) - 11 freq
onymair (2) - 37 freq
anymore (2) - 14 freq
anymair (3) - 31 freq
neymar (3) - 1 freq
onyman (3) - 1 freq
onygate (4) - 1 freq
onysake (4) - 1 freq
noymarp (4) - 1 freq
unmade (4) - 5 freq
namer (4) - 1 freq
nare (4) - 1 freq
animate (4) - 1 freq
annmari (4) - 2 freq
notare (4) - 1 freq
mare (4) - 190 freq
unaware (4) - 6 freq
onyane (4) - 13 freq
oniemair (4) - 4 freq
numero (4) - 1 freq
kenmore (5) - 1 freq
ymir (5) - 3 freq
endre (5) - 1 freq
SoundEx code - O556
onymair - 37 freq
oniemair - 4 freq
onniemair - 1 freq
onymare - 2 freq
MetaPhone code - ONMR
onymair - 37 freq
oniemair - 4 freq
onniemair - 1 freq
onymare - 2 freq
ONYMARE
Time to execute Levenshtein function - 0.183485 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 - 0.396513 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 - 0.029638 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 - 0.038388 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 - 0.000789 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.