A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to eftirstang in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eftirstang (0) - 1 freq
efterstang (1) - 1 freq
afterstang (2) - 1 freq
eftirshave (3) - 1 freq
ffirstand (3) - 1 freq
afaistane (4) - 5 freq
eftirnön (4) - 1 freq
intersting (4) - 1 freq
lairstane (4) - 3 freq
undirstand (4) - 2 freq
eftirlins (4) - 3 freq
eftirins (4) - 3 freq
eftirmath (4) - 1 freq
eftirnoon (4) - 5 freq
eftershave (4) - 2 freq
efternane (4) - 3 freq
ffirstaund (4) - 5 freq
eftirnün (4) - 1 freq
eemisstane (4) - 3 freq
eftirnuins (4) - 2 freq
existing (4) - 1 freq
eftirnune (4) - 6 freq
firsten (4) - 16 freq
eftirnuin (4) - 2 freq
efterhand (4) - 1 freq
eftirstang (0) - 1 freq
efterstang (1) - 1 freq
afterstang (2) - 1 freq
ffirstand (5) - 1 freq
intersting (5) - 1 freq
firsten (6) - 16 freq
ffirstaund (6) - 5 freq
interesting (6) - 42 freq
eftirshave (6) - 1 freq
testing (7) - 12 freq
starting (7) - 42 freq
fursten (7) - 6 freq
farting (7) - 3 freq
torsten (7) - 1 freq
frisking (7) - 1 freq
fitting (7) - 9 freq
interestan (7) - 9 freq
fasting (7) - 1 freq
festing (7) - 1 freq
entrustin (7) - 2 freq
toasting (7) - 3 freq
sterting (7) - 1 freq
twisting (7) - 1 freq
feasting (7) - 1 freq
forstaund (7) - 1 freq
SoundEx code - E136
efter - 3150 freq
efternoon - 58 freq
efterhint - 1 freq
efternuin - 60 freq
eftir - 500 freq
efternin - 12 freq
efterwards - 17 freq
efterwirds - 3 freq
efter-time - 3 freq
efterhand - 1 freq
efter-dinner - 1 freq
efterhin - 11 freq
efterthocht - 6 freq
efternuins - 3 freq
efterneen - 69 freq
efterhaun - 22 freq
efter- - 1 freq
efterhaund - 4 freq
efterairt - 1 freq
efter-shave - 1 freq
efter't - 4 freq
efterins - 1 freq
eftirnuins - 2 freq
eftirnuin - 2 freq
eftirwards - 2 freq
eftercast - 5 freq
eftermath - 6 freq
efterthowt - 2 freq
efterward - 9 freq
eftirstang - 1 freq
eifter - 3 freq
efterkin - 1 freq
efterlife - 2 freq
efteraw - 17 freq
efterthoat - 1 freq
efternune - 4 freq
efternoons - 9 freq
eftér - 16 freq
eftirmath - 1 freq
'efter - 5 freq
eftirnane's - 1 freq
eftèr - 91 freq
eftèrnuin - 1 freq
eftirshave - 1 freq
epidaurian - 1 freq
eftyr - 1 freq
eftirwirds - 1 freq
efternön - 2 freq
efiter - 1 freq
eftirthocht - 2 freq
eftirnoon - 5 freq
eftèr-laureate - 1 freq
eftèr-schuil - 1 freq
eftirwarts - 2 freq
eftirins - 3 freq
eftirlins - 3 freq
eftirneun - 1 freq
eftershave - 2 freq
eftirnune - 6 freq
efternüne - 1 freq
eftur - 1 freq
efterburn - 1 freq
efternane - 3 freq
efterninns - 1 freq
efterninn - 2 freq
efter'll - 1 freq
eftirnön - 1 freq
efterhins - 9 freq
efterneens - 1 freq
efterword - 2 freq
efternuin's - 1 freq
€œefter - 5 freq
efter-schuil - 1 freq
efterstang - 1 freq
efters - 1 freq
eftir-cum - 1 freq
efternunes - 1 freq
eftercome - 1 freq
efter-perfect - 1 freq
efterwarts - 1 freq
€˜efter - 1 freq
efter-in-aa - 1 freq
efterwurds - 1 freq
efterwart - 1 freq
efternain - 1 freq
€œeftir - 1 freq
€™efter - 1 freq
eftrneen - 1 freq
eftirnün - 1 freq
MetaPhone code - EFTRSTNK
eftirstang - 1 freq
efterstang - 1 freq
EFTIRSTANG
Time to execute Levenshtein function - 0.216416 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 - 0.407114 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 - 0.029320 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 - 0.043150 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 - 0.000886 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.