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 airmen in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
airmen (0) - 2 freq
fairmen (1) - 1 freq
airmed (1) - 21 freq
fairmer (2) - 65 freq
aiten (2) - 4 freq
aire (2) - 61 freq
aimin (2) - 10 freq
wirkmen (2) - 1 freq
wimen (2) - 1 freq
airm (2) - 358 freq
airm's (2) - 8 freq
dairymen (2) - 2 freq
daimen (2) - 4 freq
airmie (2) - 15 freq
normen (2) - 1 freq
airnin (2) - 1 freq
airon (2) - 1 freq
fairmin (2) - 22 freq
weirmen (2) - 2 freq
armed (2) - 18 freq
airlan (2) - 174 freq
airer (2) - 1 freq
carmen (2) - 2 freq
mirren (2) - 144 freq
aimed (2) - 16 freq
airmen (0) - 2 freq
airmed (2) - 21 freq
fairmen (2) - 1 freq
airmit (3) - 4 freq
oilmen (3) - 1 freq
airtan (3) - 2 freq
firemen (3) - 4 freq
wiemen (3) - 1 freq
airmy (3) - 92 freq
atmen (3) - 1 freq
aren (3) - 3 freq
barmen (3) - 1 freq
wairmin (3) - 2 freq
ciemen (3) - 1 freq
armani (3) - 1 freq
airmies (3) - 16 freq
airtin (3) - 36 freq
airin (3) - 4 freq
airms (3) - 451 freq
raimon (3) - 1 freq
airn (3) - 52 freq
arden (3) - 2 freq
airm' (3) - 1 freq
airmor (3) - 1 freq
airm (3) - 358 freq
SoundEx code - A655
aroonwance - 1 freq
airm-in-airm - 5 freq
airmaments - 1 freq
airm-inairm - 1 freq
armand - 1 freq
armani - 1 freq
airnin - 1 freq
a-rinnin - 1 freq
airmen - 2 freq
armaments - 1 freq
MetaPhone code - ARMN
armani - 1 freq
airmen - 2 freq
AIRMEN
Time to execute Levenshtein function - 0.220201 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 - 0.328685 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 - 0.027341 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 - 0.037818 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 - 0.000894 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.