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 eftur in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eftur (0) - 1 freq
eftyr (1) - 1 freq
efter (1) - 3150 freq
aftur (1) - 1 freq
eftir (1) - 500 freq
efty' (2) - 1 freq
stur (2) - 3 freq
eftér (2) - 16 freq
cftug (2) - 1 freq
ventur (2) - 6 freq
bettur (2) - 3 freq
'four (2) - 2 freq
iectur (2) - 1 freq
efuc (2) - 1 freq
efer (2) - 1 freq
efters (2) - 1 freq
aefter (2) - 4 freq
'fur (2) - 8 freq
eater (2) - 2 freq
eur (2) - 1 freq
eethur (2) - 1 freq
featur (2) - 5 freq
efler (2) - 1 freq
aftir (2) - 1 freq
efier (2) - 1 freq
eftur (0) - 1 freq
eftir (1) - 500 freq
aftur (1) - 1 freq
eftyr (1) - 1 freq
efter (1) - 3150 freq
featur (2) - 5 freq
aftir (2) - 1 freq
eifter (2) - 3 freq
after (2) - 354 freq
efiter (2) - 1 freq
ifter (2) - 1 freq
aefter (2) - 4 freq
futur (2) - 22 freq
fur (3) - 7713 freq
fyur (3) - 2 freq
eft (3) - 3 freq
aifter (3) - 343 freq
etter (3) - 2 freq
fatr (3) - 1 freq
afaur (3) - 4 freq
fyter (3) - 1 freq
feature (3) - 43 freq
enter (3) - 74 freq
four (3) - 195 freq
etr (3) - 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 - EFTR
efter - 3150 freq
eftir - 500 freq
efter- - 1 freq
eifter - 3 freq
efteraw - 17 freq
eftér - 16 freq
'efter - 5 freq
eftèr - 91 freq
eftyr - 1 freq
efiter - 1 freq
eftur - 1 freq
€œefter - 5 freq
aefter - 4 freq
€˜efter - 1 freq
€œeftir - 1 freq
€™efter - 1 freq
EFTUR
Time to execute Levenshtein function - 0.188268 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 - 0.353306 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 - 0.027957 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 - 0.040925 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 - 0.000896 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.