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 ganfer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ganfer (0) - 2 freq
ganner (1) - 1 freq
ganger (1) - 1 freq
gaffer (1) - 35 freq
gander (1) - 14 freq
gadder (2) - 19 freq
sanger (2) - 1 freq
affer (2) - 2 freq
panser (2) - 26 freq
canner (2) - 1 freq
dancer (2) - 31 freq
anser (2) - 5 freq
golfer (2) - 1 freq
rander (2) - 2 freq
gahler (2) - 1 freq
ganged (2) - 22 freq
canker (2) - 4 freq
gowfer (2) - 1 freq
banger (2) - 5 freq
grander (2) - 3 freq
hanger (2) - 3 freq
gonner (2) - 1 freq
dander (2) - 61 freq
gaer (2) - 7 freq
cancer (2) - 43 freq
ganfer (0) - 2 freq
ganner (2) - 1 freq
gaffer (2) - 35 freq
gander (2) - 14 freq
ganger (2) - 1 freq
infer (3) - 1 freq
enfer (3) - 1 freq
gonner (3) - 1 freq
golfer (3) - 1 freq
gowfer (3) - 1 freq
ginger (3) - 121 freq
gener (3) - 1 freq
gunfre (3) - 1 freq
confer (3) - 1 freq
gender (3) - 19 freq
gunfire (3) - 3 freq
gunner (3) - 2 freq
goner (3) - 4 freq
manger (4) - 11 freq
gaffe (4) - 1 freq
gaffers (4) - 2 freq
saufer (4) - 2 freq
banter (4) - 43 freq
danger (4) - 110 freq
gannet (4) - 10 freq
SoundEx code - G516
gamphrells - 1 freq
ganfer - 2 freq
gaamfers - 1 freq
gunfire - 3 freq
gunfre - 1 freq
gnpryi - 1 freq
gomper - 3 freq
MetaPhone code - KNFR
ganfer - 2 freq
confer - 1 freq
gunfire - 3 freq
gunfre - 1 freq
queenferry - 1 freq
GANFER
Time to execute Levenshtein function - 0.589177 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 - 1.008212 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 - 0.033869 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 - 0.049853 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 - 0.001353 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.