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 anymare in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
anymare (0) - 17 freq
onymare (1) - 2 freq
anymaire (1) - 11 freq
anymore (1) - 14 freq
anymair (2) - 33 freq
animate (2) - 1 freq
annmari (2) - 2 freq
aname (3) - 1 freq
anyways (3) - 12 freq
anytime (3) - 29 freq
anae (3) - 1 freq
€˜mare (3) - 2 freq
snare (3) - 13 freq
onysake (3) - 1 freq
anya (3) - 1 freq
neymar (3) - 1 freq
tyare (3) - 1 freq
onymair (3) - 38 freq
animacy (3) - 1 freq
unmade (3) - 5 freq
alomar (3) - 1 freq
ganymede (3) - 1 freq
animal (3) - 101 freq
y'are (3) - 3 freq
anyday (3) - 3 freq
anymare (0) - 17 freq
anymaire (1) - 11 freq
anymore (1) - 14 freq
onymare (1) - 2 freq
anymair (2) - 33 freq
neymar (3) - 1 freq
onymair (3) - 38 freq
animate (3) - 1 freq
annmari (3) - 2 freq
annemar (4) - 1 freq
unaware (4) - 6 freq
noymarp (4) - 1 freq
notare (4) - 1 freq
admire (4) - 32 freq
andrae (4) - 7 freq
amyire (4) - 1 freq
anhere (4) - 1 freq
amara (4) - 1 freq
onyman (4) - 1 freq
namer (4) - 1 freq
numero (4) - 1 freq
amore (4) - 1 freq
ianuare (4) - 1 freq
ansar (4) - 1 freq
anar (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
ANYMARE
Time to execute Levenshtein function - 0.199279 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 - 0.352124 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 - 0.027451 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 - 0.037054 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 - 0.000898 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.