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 airm-shair in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
airm-shair (0) - 1 freq
airm-chair (1) - 4 freq
airmchair (2) - 8 freq
airm-inairm (3) - 1 freq
hairt-sair (3) - 3 freq
airmchairs (3) - 1 freq
erm-chair (3) - 1 freq
armchair (3) - 6 freq
ayrshir (4) - 1 freq
airm-pit (4) - 1 freq
airn-baur (4) - 1 freq
hirs-shae (4) - 1 freq
air-raid (4) - 1 freq
pick-shairp (4) - 1 freq
virmishin (4) - 2 freq
hairtsair (4) - 2 freq
air-space (4) - 1 freq
airn-laid (4) - 1 freq
fit-sair (4) - 1 freq
ermchair (4) - 10 freq
airm-in-airm (4) - 5 freq
airy-fairy (4) - 2 freq
airn-hard (4) - 1 freq
dark-hair (4) - 1 freq
hert-sair (4) - 7 freq
airm-shair (0) - 1 freq
airm-chair (2) - 4 freq
erm-chair (4) - 1 freq
airmchair (4) - 8 freq
armchair (5) - 6 freq
airm-inairm (6) - 1 freq
airm-chyne (6) - 1 freq
airmchairs (6) - 1 freq
ermchair (6) - 10 freq
ayrshir (6) - 1 freq
hairt-sair (6) - 3 freq
dark-hair (7) - 1 freq
airn-hard (7) - 1 freq
airy-fairy (7) - 2 freq
hert-sair (7) - 7 freq
t-shir (7) - 1 freq
ayreshire (7) - 2 freq
ayrshire (7) - 96 freq
film-star (7) - 2 freq
airm-in-airm (7) - 5 freq
hirs-shae (7) - 1 freq
airn-baur (7) - 1 freq
virmishin (7) - 2 freq
airm-pit (7) - 1 freq
air-space (7) - 1 freq
SoundEx code - A652
airms - 451 freq
airm-chyne - 1 freq
airmies - 16 freq
arrangin - 2 freq
airm's - 8 freq
arrange - 14 freq
arms - 67 freq
arrangement - 17 freq
arrangements - 18 freq
airm-chair - 4 freq
arran's - 1 freq
arreengit - 1 freq
aaarms - 1 freq
airnest - 2 freq
airnestlie - 1 freq
airmchair - 8 freq
arins - 1 freq
arraynged - 1 freq
armous - 1 freq
awareness - 44 freq
arranged - 33 freq
armies - 4 freq
armchair - 6 freq
airms-sales - 1 freq
arms-dealers - 1 freq
armstrong - 15 freq
aurms - 1 freq
arrangers - 1 freq
aroon's - 1 freq
armageddon - 2 freq
armistice - 1 freq
airnstane - 1 freq
airm-shair - 1 freq
arreinged - 4 freq
arreingin - 2 freq
arrangemint - 1 freq
arnicht - 1 freq
arrangemints - 1 freq
armagh - 5 freq
airn-stith - 1 freq
arranges - 1 freq
arrainjin - 1 freq
army's - 3 freq
airmchairs - 1 freq
armstrong' - 1 freq
airmistice - 1 freq
airmstrangs - 1 freq
aranese - 1 freq
armstrang - 1 freq
awaurness - 7 freq
arreinge - 1 freq
armys - 1 freq
airmstrong - 5 freq
aromas - 1 freq
arraingit - 1 freq
aramaic - 3 freq
arreengement - 1 freq
arreenged - 1 freq
arrynge - 1 freq
awareness-raisin - 1 freq
arrengment - 1 freq
arnage - 1 freq
airing - 1 freq
awormsstory - 1 freq
arnistonrangers - 3 freq
arniston - 2 freq
aaronmackiee - 2 freq
arranging - 1 freq
arianagrande - 1 freq
MetaPhone code - ARMXR
airm-chair - 4 freq
airmchair - 8 freq
armchair - 6 freq
airm-shair - 1 freq
AIRM-SHAIR
Time to execute Levenshtein function - 0.582469 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 - 0.812251 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 - 0.080329 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 - 0.091815 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 - 0.000866 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.