A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to eynar in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eynar (0) - 34 freq
einar (1) - 27 freq
reynard (2) - 3 freq
pypar (2) - 1 freq
eenan (2) - 1 freq
ayar (2) - 1 freq
-year (2) - 1 freq
lunar (2) - 1 freq
ena (2) - 16 freq
keyna (2) - 4 freq
bynear (2) - 2 freq
wnar (2) - 1 freq
jyner (2) - 30 freq
ynr (2) - 1 freq
eyns (2) - 7 freq
eyn's (2) - 1 freq
year (2) - 2026 freq
enna (2) - 11 freq
ellar (2) - 1 freq
sonar (2) - 1 freq
eynoo (2) - 3 freq
elmar (2) - 2 freq
kyaar (2) - 1 freq
ebner (2) - 5 freq
ear (2) - 139 freq
eynar (0) - 34 freq
einar (1) - 27 freq
einer (2) - 1 freq
anar (2) - 1 freq
nar (2) - 15 freq
ynr (2) - 1 freq
nair (3) - 2 freq
geynear (3) - 2 freq
nary (3) - 2 freq
eyn (3) - 137 freq
eyne (3) - 4 freq
ornar (3) - 4 freq
yar (3) - 3 freq
denar (3) - 1 freq
nr (3) - 8 freq
nir (3) - 49 freq
naar (3) - 7 freq
enry (3) - 1 freq
ainer (3) - 2 freq
ooner (3) - 2 freq
ner (3) - 53 freq
naur (3) - 10 freq
nor (3) - 1967 freq
nare (3) - 1 freq
gnar (3) - 1 freq
SoundEx code - E560
eemur - 1 freq
einar - 27 freq
eimhir - 1 freq
eynar - 34 freq
eimhir' - 1 freq
einer - 1 freq
emorra - 1 freq
emmaohara - 1 freq
enry - 1 freq
eiwynra - 1 freq
emery - 1 freq
MetaPhone code - ENR
einar - 27 freq
eynar - 34 freq
einer - 1 freq
enry - 1 freq
eiwynra - 1 freq
EYNAR
Time to execute Levenshtein function - 0.176002 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 - 0.363138 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 - 0.027467 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 - 0.036938 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 - 0.000889 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.