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 balmour in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
balmour (0) - 1 freq
balfour (1) - 50 freq
lamour (2) - 1 freq
balmer (2) - 2 freq
valour (2) - 1 freq
gilmour (2) - 4 freq
armour (2) - 10 freq
amour (2) - 1 freq
famour (2) - 1 freq
barbour (2) - 17 freq
ballo (3) - 1 freq
saltoun (3) - 3 freq
balm (3) - 6 freq
balms (3) - 1 freq
faumous (3) - 3 freq
rancour (3) - 2 freq
balgove (3) - 1 freq
bayou (3) - 1 freq
balfour's (3) - 1 freq
harbour (3) - 49 freq
fallout (3) - 1 freq
allous (3) - 27 freq
blout (3) - 1 freq
armoury (3) - 2 freq
allout (3) - 2 freq
balmour (0) - 1 freq
balmer (2) - 2 freq
balfour (2) - 50 freq
balamory (3) - 1 freq
gilmour (3) - 4 freq
lamour (3) - 1 freq
palmer (4) - 3 freq
balr (4) - 1 freq
calmer (4) - 3 freq
bloum (4) - 1 freq
glamour (4) - 29 freq
clamour (4) - 8 freq
balmy (4) - 2 freq
beglamour (4) - 3 freq
balmoral (4) - 11 freq
blur (4) - 14 freq
balder (4) - 1 freq
belabour (4) - 1 freq
baler (4) - 4 freq
armour (4) - 10 freq
amour (4) - 1 freq
barbour (4) - 17 freq
balm (4) - 6 freq
valour (4) - 1 freq
balms (4) - 1 freq
SoundEx code - B456
balmoral - 11 freq
bloomers - 5 freq
balamory - 1 freq
blunner - 1 freq
balmurdie - 1 freq
balmorals - 1 freq
balmour - 1 freq
balmer - 2 freq
balmerino - 1 freq
MetaPhone code - BLMR
balamory - 1 freq
balmour - 1 freq
balmer - 2 freq
BALMOUR
Time to execute Levenshtein function - 0.410183 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 - 0.779599 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 - 0.088135 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 - 0.097677 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 - 0.000940 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.