A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to anymair in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
anymair (0) - 33 freq
onymair (1) - 38 freq
anymaire (1) - 11 freq
anymare (2) - 17 freq
anywaiy (2) - 17 freq
ansar (3) - 1 freq
anglais (3) - 2 freq
enshair (3) - 1 freq
annemar (3) - 1 freq
anywhaur (3) - 2 freq
royhair (3) - 3 freq
ansir (3) - 1 freq
anundir (3) - 1 freq
anemia (3) - 1 freq
annidir (3) - 1 freq
nair (3) - 2 freq
xnair (3) - 1 freq
onyman (3) - 1 freq
€˜mair (3) - 6 freq
animate (3) - 1 freq
onymare (3) - 2 freq
admeir (3) - 2 freq
anywiy (3) - 8 freq
unshair (3) - 3 freq
acair (3) - 1 freq
anymair (0) - 33 freq
anymaire (1) - 11 freq
onymair (1) - 38 freq
anymare (2) - 17 freq
oniemair (3) - 4 freq
neymar (3) - 1 freq
naemair (3) - 1 freq
anymore (3) - 14 freq
onymare (3) - 2 freq
i'mair (4) - 1 freq
animacy (4) - 1 freq
alomar (4) - 1 freq
ymir (4) - 3 freq
'mair (4) - 8 freq
unfair (4) - 10 freq
animal (4) - 101 freq
anomaly (4) - 2 freq
mair (4) - 6172 freq
admir (4) - 1 freq
annmari (4) - 2 freq
nyir (4) - 1 freq
anar (4) - 1 freq
anemia (4) - 1 freq
namer (4) - 1 freq
ansir (4) - 1 freq
SoundEx code - A556
anymair - 33 freq
anymare - 17 freq
anymore - 14 freq
anymaire - 11 freq
anunner - 1 freq
annemarieneary - 1 freq
annemar - 1 freq
annemariedehaan - 1 freq
annamorozova - 1 freq
MetaPhone code - ANMR
anymair - 33 freq
anymare - 17 freq
anymore - 14 freq
anymaire - 11 freq
annemar - 1 freq
annmari - 2 freq
ANYMAIR
Time to execute Levenshtein function - 0.216304 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 - 0.374551 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 - 0.027689 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 - 0.041119 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 - 0.000901 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.