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 aboynefire in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
aboynefire (0) - 1 freq
bonefire (2) - 1 freq
bonfire (3) - 28 freq
banefire (3) - 3 freq
binfire (4) - 1 freq
bonfires (4) - 8 freq
boyndie (4) - 6 freq
benefice (4) - 1 freq
boygie (5) - 2 freq
ayreshire (5) - 2 freq
'bonnie (5) - 2 freq
joyner (5) - 1 freq
beefie (5) - 1 freq
bonxie (5) - 8 freq
benefited (5) - 2 freq
boys're (5) - 1 freq
ayrshire (5) - 96 freq
befaire (5) - 4 freq
nefife (5) - 1 freq
boannie (5) - 59 freq
gunfire (5) - 3 freq
boanie (5) - 2 freq
abother (5) - 1 freq
boykie (5) - 1 freq
bonnielike (5) - 1 freq
aboynefire (0) - 1 freq
bonefire (2) - 1 freq
banefire (3) - 3 freq
bonfire (3) - 28 freq
binfire (4) - 1 freq
benefice (5) - 1 freq
bonfires (5) - 8 freq
before (6) - 560 freq
befaire (6) - 4 freq
openfire (6) - 1 freq
benefit (6) - 74 freq
bynear (6) - 2 freq
gunfire (6) - 3 freq
banffie (6) - 2 freq
befare (6) - 2 freq
boyndie (6) - 6 freq
anymaire (7) - 11 freq
boyne (7) - 4 freq
surefire (7) - 1 freq
bandeira (7) - 1 freq
ebner (7) - 5 freq
backfire (7) - 1 freq
bonie (7) - 13 freq
aboundit (7) - 1 freq
snowfire (7) - 1 freq
SoundEx code - A151
aboynefire - 1 freq
MetaPhone code - ABNFR
aboynefire - 1 freq
ABOYNEFIRE
Time to execute Levenshtein function - 0.231775 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 - 0.382845 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 - 0.032109 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 - 0.039779 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 - 0.000848 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.