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 mhairi in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mhairi (0) - 6 freq
mairi (1) - 5 freq
maori (2) - 2 freq
mairie (2) - 1 freq
hair' (2) - 2 freq
maire (2) - 146 freq
mair (2) - 6172 freq
hair (2) - 902 freq
maizi (2) - 1 freq
màiri (2) - 2 freq
shairn (2) - 17 freq
whair (2) - 12 freq
chair (2) - 219 freq
hairie (2) - 6 freq
hairt (2) - 341 freq
chair' (2) - 2 freq
hairm (2) - 63 freq
mohair (2) - 2 freq
mairy (2) - 7 freq
'hair (2) - 2 freq
shair (2) - 445 freq
hairy (2) - 93 freq
miair (2) - 1 freq
thairm (2) - 3 freq
shaire (2) - 8 freq
mhairi (0) - 6 freq
mohair (2) - 2 freq
mairi (2) - 5 freq
hairy (3) - 93 freq
shair (3) - 445 freq
'hair (3) - 2 freq
miair (3) - 1 freq
thaire (3) - 47 freq
thair (3) - 1955 freq
hari (3) - 1 freq
'hairy (3) - 2 freq
shaire (3) - 8 freq
maori (3) - 2 freq
mairy (3) - 7 freq
whair (3) - 12 freq
hair (3) - 902 freq
maire (3) - 146 freq
mairie (3) - 1 freq
chair (3) - 219 freq
mair (3) - 6172 freq
hairie (3) - 6 freq
haarie (4) - 1 freq
mar (4) - 16 freq
whaar (4) - 180 freq
meharg (4) - 1 freq
SoundEx code - M600
mair - 6172 freq
mere - 24 freq
muir - 77 freq
more - 465 freq
mary - 770 freq
mr - 1314 freq
marrae - 8 freq
merry - 69 freq
morra - 79 freq
mour - 4 freq
mar - 16 freq
mare - 190 freq
maire - 146 freq
mora - 8 freq
mer - 7 freq
moor - 29 freq
mera - 2 freq
'mere - 1 freq
more-' - 1 freq
'mr - 16 freq
maria - 8 freq
maireh - 3 freq
marrow - 32 freq
maori - 2 freq
marie - 212 freq
moira - 88 freq
merrie - 7 freq
mire - 14 freq
'mair - 8 freq
marra - 19 freq
mearry - 1 freq
mairy - 7 freq
mirrae - 1 freq
meir - 7 freq
moray - 80 freq
mairrie - 7 freq
murray - 128 freq
myrrh - 10 freq
myrh - 1 freq
mairry - 43 freq
mairi - 5 freq
mario - 10 freq
meer - 9 freq
mear - 3 freq
morrae - 2 freq
mower - 15 freq
mair' - 4 freq
morra- - 1 freq
marr - 5 freq
merro - 1 freq
mair-a - 1 freq
mareh - 3 freq
meyer - 5 freq
'muir - 1 freq
moir - 1 freq
maria' - 2 freq
mhòr' - 1 freq
morrow - 11 freq
more' - 1 freq
mirry - 8 freq
maer - 3 freq
merr - 6 freq
'mary' - 1 freq
'merry - 1 freq
maiur - 1 freq
marry - 11 freq
miair - 1 freq
'marie - 2 freq
mohair - 2 freq
moorie - 5 freq
moory - 3 freq
mor - 15 freq
mirr - 3 freq
meroo - 1 freq
mayor - 3 freq
mireio - 1 freq
mirrie - 7 freq
Ÿmur - 1 freq
màiri - 2 freq
mir - 5 freq
mowrie - 1 freq
marr' - 1 freq
'mehr - 1 freq
€™mere - 9 freq
€˜more - 2 freq
mearð - 1 freq
€œmair - 4 freq
moore - 2 freq
mairry' - 1 freq
myra - 14 freq
myre - 2 freq
mairie - 1 freq
mòr - 2 freq
marye - 1 freq
'meerie - 6 freq
muwer - 1 freq
€œmary - 2 freq
€˜mair - 6 freq
€˜mere - 1 freq
€˜mr - 7 freq
€˜mare - 2 freq
€œmr - 5 freq
morra' - 1 freq
maara - 1 freq
€œmoira - 1 freq
mirra - 3 freq
mere' - 1 freq
moar - 3 freq
mrrow - 1 freq
moarra - 1 freq
€™mr - 1 freq
mhairi - 6 freq
mayer - 1 freq
mrei - 1 freq
morro - 18 freq
murr - 1 freq
maree - 1 freq
mehr - 1 freq
mri - 1 freq
‘mary - 1 freq
MetaPhone code - MHR
mohair - 2 freq
mhairi - 6 freq
MHAIRI
Time to execute Levenshtein function - 0.221442 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 - 0.406607 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 - 0.032047 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 - 0.036837 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.