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 choochert in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
choochert (0) - 1 freq
choocher (1) - 1 freq
shoothert (2) - 1 freq
poocher (3) - 2 freq
smoocher (3) - 3 freq
moocher (3) - 2 freq
poothert (3) - 1 freq
shooert (3) - 2 freq
chocht (3) - 1 freq
crochet (3) - 6 freq
hoochter (3) - 1 freq
concert (3) - 44 freq
choosers (3) - 2 freq
snochert (3) - 1 freq
coontert (3) - 1 freq
hooched (3) - 3 freq
chincher (3) - 4 freq
shooched (3) - 1 freq
shoother (3) - 43 freq
crooched (3) - 1 freq
shoodert (3) - 1 freq
hooches (3) - 1 freq
chooch (3) - 1 freq
hoocht (3) - 3 freq
voocher (3) - 1 freq
choochert (0) - 1 freq
choocher (2) - 1 freq
chocht (4) - 1 freq
shoothert (4) - 1 freq
concert (5) - 44 freq
crochet (5) - 6 freq
hoocht (5) - 3 freq
chooch (5) - 1 freq
snochert (5) - 1 freq
chincher (5) - 4 freq
chattert (6) - 4 freq
concreit (6) - 6 freq
chockit (6) - 2 freq
cheuchter (6) - 1 freq
chert (6) - 2 freq
thocht (6) - 2668 freq
torchirt (6) - 1 freq
cocht (6) - 11 freq
clocherin (6) - 1 freq
hicher (6) - 1 freq
shauchelt (6) - 3 freq
chamchars (6) - 1 freq
chocolat (6) - 1 freq
hochlet (6) - 1 freq
heicher (6) - 30 freq
SoundEx code - C263
cigarette - 21 freq
cigarettes - 9 freq
cowk-wirthy - 1 freq
choochert - 1 freq
chequered - 1 freq
checquered - 1 freq
ceegarettes - 7 freq
ceegarette - 1 freq
ceigarettes - 1 freq
MetaPhone code - XXRT
choochert - 1 freq
CHOOCHERT
Time to execute Levenshtein function - 0.194226 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 - 0.510522 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 - 0.029157 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 - 0.037635 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 - 0.000909 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.